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diff --git a/content/blog/csca5642-w3/index.md b/content/blog/csca5642-w3/index.md new file mode 100644 index 0000000..8b8aec2 --- /dev/null +++ b/content/blog/csca5642-w3/index.md @@ -0,0 +1,68 @@ ++++ +title = "🧬 Detecting Cancer in Histopathology Images with CNNs" +description = "A practical deep learning project for binary classification using the PatchCamelyon dataset." +date = 2025-11-02 +[taxonomies] +tags = ["machine_learning"] +[extra] +styles = ["notebooks.css", ] ++++ + +## Overview + +This project explores the use of convolutional neural networks (CNNs) to detect +metastatic cancer in histopathologic images of lymph node tissue. The task is +framed as a binary classification problem, distinguishing between cancerous and +non-cancerous image patches. + +The dataset, sourced from the PatchCamelyon (PCam) benchmark, offers a +realistic simulation of the challenges faced by pathologists. With over 220,000 +labeled 96x96 RGB image patches, it strikes a balance between complexity and +computational feasibility—making it ideal for experimentation on a single GPU. + +## Approach + +The workflow began with a thorough exploratory data analysis to understand the +dataset’s structure, class distribution, and pixel intensity characteristics. +Data augmentation and normalization were applied to improve generalization and +training efficiency. + +A flexible CNN builder was implemented to test different architectures—ranging +from simple to deeper and wider networks. After identifying the best-performing +architecture, various regularization techniques were evaluated, including L1/L2 +penalties, dropout, and batch normalization. + +To ensure fair comparisons and mitigate overfitting, training was supported by +callbacks such as early stopping, learning rate scheduling, and model +checkpointing. + +## Results + +The deeper CNN architecture consistently outperformed the others, achieving a +validation AUC of **0.9331**. Among regularization strategies, **additional +batch normalization** provided the best boost in performance, pushing the final +model’s validation AUC to **0.9878** when trained on the full dataset. + +The final model demonstrated strong generalization, with balanced precision and +recall across both classes. Predictions on the test set were generated and +compiled into a submission-ready format. + +## Reflections + +While the performance metrics are promising, the project also highlighted some +challenges—particularly the variability in validation scores during early +training. This variability diminished with larger datasets and longer training, +suggesting that data volume plays a key role in stabilizing model performance. + +Future work could explore more advanced architectures, ensemble methods, or +semi-supervised learning to further improve robustness and accuracy. + +*** + +If you're curious about the details, the full notebook is embedded below 👇 + +<!-- markdownlint-disable MD033 --> +<iframe title="Spam Email Classification notebook" class="notebook-embed" src="notebook.html"></iframe> + +You can also view the notebook in [a separate page](notebook.html), or check it +on [GitHub](https://github.com/Farzat07/Kaggle-Mini-Project-CNN-Cancer-Detection). diff --git a/content/blog/csca5642-w3/notebook.html b/content/blog/csca5642-w3/notebook.html new file mode 100644 index 0000000..f4d23e7 --- /dev/null +++ b/content/blog/csca5642-w3/notebook.html @@ -0,0 +1,9244 @@ +<!DOCTYPE html> + +<html lang="en"> +<head><meta charset="utf-8"/> +<meta content="width=device-width, initial-scale=1.0" name="viewport"/> +<title>cours3w3submission</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script> +<style type="text/css"> + pre { line-height: 125%; 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+|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-Collapse { + display: flex; + flex-direction: column; + align-items: stretch; +} + +.jp-Collapse-header { + padding: 1px 12px; + background-color: var(--jp-layout-color1); + border-bottom: solid var(--jp-border-width) var(--jp-border-color2); + color: var(--jp-ui-font-color1); + cursor: pointer; + display: flex; + align-items: center; + font-size: var(--jp-ui-font-size0); + font-weight: 600; + text-transform: uppercase; + user-select: none; +} + +.jp-Collapser-icon { + height: 16px; +} + +.jp-Collapse-header-collapsed .jp-Collapser-icon { + transform: rotate(-90deg); + margin: auto 0; +} + +.jp-Collapser-title { + line-height: 25px; +} + +.jp-Collapse-contents { + padding: 0 12px; + background-color: var(--jp-layout-color1); + color: var(--jp-ui-font-color1); + overflow: auto; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */ + +/** + * (DEPRECATED) Support for consuming icons as CSS background images + */ + +/* Icons urls */ + +:root { + --jp-icon-add-above: 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+ --jp-icon-add-below: 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+ --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=); + --jp-icon-bell: url(data:image/svg+xml;base64,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); + --jp-icon-bug-dot: 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+ --jp-icon-bug: url(data:image/svg+xml;base64,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); + --jp-icon-build: 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+ --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=); + --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K); + --jp-icon-offline-bolt: 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+ --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==); + --jp-icon-pdf: 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+ --jp-icon-python: 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+ --jp-icon-r-kernel: url(data:image/svg+xml;base64,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); + --jp-icon-react: 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url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=); + --jp-icon-regex: url(data:image/svg+xml;base64,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); + --jp-icon-run: 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+ --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==); + --jp-icon-toc: url(data:image/svg+xml;base64,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); + --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K); + --jp-icon-trusted: url(data:image/svg+xml;base64,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); + --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==); + --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==); + --jp-icon-users: url(data:image/svg+xml;base64,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); + --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==); + --jp-icon-word: url(data:image/svg+xml;base64,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); + --jp-icon-yaml: url(data:image/svg+xml;base64,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); +} + +/* Icon CSS class declarations */ + +.jp-AddAboveIcon { + background-image: var(--jp-icon-add-above); +} + +.jp-AddBelowIcon { + background-image: var(--jp-icon-add-below); +} + +.jp-AddIcon { + background-image: var(--jp-icon-add); +} + +.jp-BellIcon { + background-image: var(--jp-icon-bell); +} + +.jp-BugDotIcon { + background-image: var(--jp-icon-bug-dot); +} + +.jp-BugIcon { + background-image: var(--jp-icon-bug); +} + +.jp-BuildIcon { + background-image: var(--jp-icon-build); +} + +.jp-CaretDownEmptyIcon { + background-image: var(--jp-icon-caret-down-empty); +} + +.jp-CaretDownEmptyThinIcon { + background-image: var(--jp-icon-caret-down-empty-thin); +} + +.jp-CaretDownIcon { + background-image: var(--jp-icon-caret-down); +} + +.jp-CaretLeftIcon { + background-image: var(--jp-icon-caret-left); +} + +.jp-CaretRightIcon { + background-image: var(--jp-icon-caret-right); +} + +.jp-CaretUpEmptyThinIcon { + background-image: var(--jp-icon-caret-up-empty-thin); +} + +.jp-CaretUpIcon { + background-image: var(--jp-icon-caret-up); +} + +.jp-CaseSensitiveIcon { + background-image: var(--jp-icon-case-sensitive); +} + +.jp-CheckIcon { + background-image: var(--jp-icon-check); +} + +.jp-CircleEmptyIcon { + background-image: var(--jp-icon-circle-empty); +} + +.jp-CircleIcon { + background-image: var(--jp-icon-circle); +} + +.jp-ClearIcon { + background-image: var(--jp-icon-clear); +} + +.jp-CloseIcon { + background-image: var(--jp-icon-close); +} + +.jp-CodeCheckIcon { + background-image: var(--jp-icon-code-check); +} + +.jp-CodeIcon { + background-image: var(--jp-icon-code); +} + +.jp-CollapseAllIcon { + background-image: var(--jp-icon-collapse-all); +} + +.jp-ConsoleIcon { + background-image: var(--jp-icon-console); +} + +.jp-CopyIcon { + background-image: var(--jp-icon-copy); +} + +.jp-CopyrightIcon { + background-image: var(--jp-icon-copyright); +} + +.jp-CutIcon { + background-image: var(--jp-icon-cut); +} + +.jp-DeleteIcon { + background-image: var(--jp-icon-delete); +} + +.jp-DownloadIcon { + background-image: var(--jp-icon-download); +} + +.jp-DuplicateIcon { + background-image: var(--jp-icon-duplicate); +} + +.jp-EditIcon { + background-image: var(--jp-icon-edit); +} + +.jp-EllipsesIcon { + background-image: var(--jp-icon-ellipses); +} + +.jp-ErrorIcon { + background-image: var(--jp-icon-error); +} + +.jp-ExpandAllIcon { + background-image: var(--jp-icon-expand-all); +} + +.jp-ExtensionIcon { + background-image: var(--jp-icon-extension); +} + +.jp-FastForwardIcon { + background-image: var(--jp-icon-fast-forward); +} + +.jp-FileIcon { + background-image: var(--jp-icon-file); +} + +.jp-FileUploadIcon { + background-image: var(--jp-icon-file-upload); +} + +.jp-FilterDotIcon { + background-image: var(--jp-icon-filter-dot); +} + +.jp-FilterIcon { + background-image: var(--jp-icon-filter); +} + +.jp-FilterListIcon { + background-image: var(--jp-icon-filter-list); +} + +.jp-FolderFavoriteIcon { + background-image: var(--jp-icon-folder-favorite); +} + +.jp-FolderIcon { + background-image: var(--jp-icon-folder); +} + +.jp-HomeIcon { + background-image: var(--jp-icon-home); +} + +.jp-Html5Icon { + background-image: var(--jp-icon-html5); +} + +.jp-ImageIcon { + background-image: var(--jp-icon-image); +} + +.jp-InfoIcon { + background-image: var(--jp-icon-info); +} + +.jp-InspectorIcon { + background-image: var(--jp-icon-inspector); +} + +.jp-JsonIcon { + background-image: var(--jp-icon-json); +} + +.jp-JuliaIcon { + background-image: var(--jp-icon-julia); +} + +.jp-JupyterFaviconIcon { + background-image: var(--jp-icon-jupyter-favicon); +} + +.jp-JupyterIcon { + background-image: var(--jp-icon-jupyter); +} + +.jp-JupyterlabWordmarkIcon { + background-image: var(--jp-icon-jupyterlab-wordmark); +} + +.jp-KernelIcon { + background-image: var(--jp-icon-kernel); +} + +.jp-KeyboardIcon { + background-image: var(--jp-icon-keyboard); +} + +.jp-LaunchIcon { + background-image: var(--jp-icon-launch); +} + +.jp-LauncherIcon { + background-image: var(--jp-icon-launcher); +} + +.jp-LineFormIcon { + background-image: var(--jp-icon-line-form); +} + +.jp-LinkIcon { + background-image: var(--jp-icon-link); +} + +.jp-ListIcon { + background-image: var(--jp-icon-list); +} + +.jp-MarkdownIcon { + background-image: var(--jp-icon-markdown); +} + +.jp-MoveDownIcon { + background-image: var(--jp-icon-move-down); +} + +.jp-MoveUpIcon { + background-image: var(--jp-icon-move-up); +} + +.jp-NewFolderIcon { + background-image: var(--jp-icon-new-folder); +} + +.jp-NotTrustedIcon { + background-image: var(--jp-icon-not-trusted); +} + +.jp-NotebookIcon { + background-image: var(--jp-icon-notebook); +} + +.jp-NumberingIcon { + background-image: var(--jp-icon-numbering); +} + +.jp-OfflineBoltIcon { + background-image: var(--jp-icon-offline-bolt); +} + +.jp-PaletteIcon { + background-image: var(--jp-icon-palette); +} + +.jp-PasteIcon { + background-image: var(--jp-icon-paste); +} + +.jp-PdfIcon { + background-image: var(--jp-icon-pdf); +} + +.jp-PythonIcon { + background-image: var(--jp-icon-python); +} + +.jp-RKernelIcon { + background-image: var(--jp-icon-r-kernel); +} + +.jp-ReactIcon { + background-image: var(--jp-icon-react); +} + +.jp-RedoIcon { + background-image: var(--jp-icon-redo); +} + +.jp-RefreshIcon { + background-image: var(--jp-icon-refresh); +} + +.jp-RegexIcon { + background-image: var(--jp-icon-regex); +} + +.jp-RunIcon { + background-image: var(--jp-icon-run); +} + +.jp-RunningIcon { + background-image: var(--jp-icon-running); +} + +.jp-SaveIcon { + background-image: var(--jp-icon-save); +} + +.jp-SearchIcon { + background-image: var(--jp-icon-search); +} + +.jp-SettingsIcon { + background-image: var(--jp-icon-settings); +} + +.jp-ShareIcon { + background-image: var(--jp-icon-share); +} + +.jp-SpreadsheetIcon { + background-image: var(--jp-icon-spreadsheet); +} + +.jp-StopIcon { + background-image: var(--jp-icon-stop); +} + +.jp-TabIcon { + background-image: var(--jp-icon-tab); +} + +.jp-TableRowsIcon { + background-image: var(--jp-icon-table-rows); +} + +.jp-TagIcon { + background-image: var(--jp-icon-tag); +} + +.jp-TerminalIcon { + background-image: var(--jp-icon-terminal); +} + +.jp-TextEditorIcon { + background-image: var(--jp-icon-text-editor); +} + +.jp-TocIcon { + background-image: var(--jp-icon-toc); +} + +.jp-TreeViewIcon { + background-image: var(--jp-icon-tree-view); +} + +.jp-TrustedIcon { + background-image: var(--jp-icon-trusted); +} + +.jp-UndoIcon { + background-image: var(--jp-icon-undo); +} + +.jp-UserIcon { + background-image: var(--jp-icon-user); +} + +.jp-UsersIcon { + background-image: var(--jp-icon-users); +} + +.jp-VegaIcon { + background-image: var(--jp-icon-vega); +} + +.jp-WordIcon { + background-image: var(--jp-icon-word); +} + +.jp-YamlIcon { + background-image: var(--jp-icon-yaml); +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/** + * (DEPRECATED) Support for consuming icons as CSS background images + */ + +.jp-Icon, +.jp-MaterialIcon { + background-position: center; + background-repeat: no-repeat; + background-size: 16px; + min-width: 16px; + min-height: 16px; +} + +.jp-Icon-cover { + background-position: center; + background-repeat: no-repeat; + background-size: cover; +} + +/** + * (DEPRECATED) Support for specific CSS icon sizes + */ + +.jp-Icon-16 { + background-size: 16px; + min-width: 16px; + min-height: 16px; +} + +.jp-Icon-18 { + background-size: 18px; + min-width: 18px; + min-height: 18px; +} + +.jp-Icon-20 { + background-size: 20px; + min-width: 20px; + min-height: 20px; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.lm-TabBar .lm-TabBar-addButton { + align-items: center; + display: flex; + padding: 4px; + padding-bottom: 5px; + margin-right: 1px; + background-color: var(--jp-layout-color2); +} + +.lm-TabBar .lm-TabBar-addButton:hover { + background-color: var(--jp-layout-color1); +} + +.lm-DockPanel-tabBar .lm-TabBar-tab { + width: var(--jp-private-horizontal-tab-width); +} + +.lm-DockPanel-tabBar .lm-TabBar-content { + flex: unset; +} + +.lm-DockPanel-tabBar[data-orientation='horizontal'] { + flex: 1 1 auto; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/** + * Support for icons as inline SVG HTMLElements + */ + +/* recolor the primary elements of an icon */ +.jp-icon0[fill] { + fill: var(--jp-inverse-layout-color0); +} + +.jp-icon1[fill] { + fill: var(--jp-inverse-layout-color1); +} + +.jp-icon2[fill] { + fill: var(--jp-inverse-layout-color2); +} + +.jp-icon3[fill] { + fill: var(--jp-inverse-layout-color3); +} + +.jp-icon4[fill] { + fill: var(--jp-inverse-layout-color4); +} + +.jp-icon0[stroke] { + stroke: var(--jp-inverse-layout-color0); +} + +.jp-icon1[stroke] { + stroke: var(--jp-inverse-layout-color1); +} + +.jp-icon2[stroke] { + stroke: var(--jp-inverse-layout-color2); +} + +.jp-icon3[stroke] { + stroke: var(--jp-inverse-layout-color3); +} + +.jp-icon4[stroke] { + stroke: var(--jp-inverse-layout-color4); +} + +/* recolor the accent elements of an icon */ +.jp-icon-accent0[fill] { + fill: var(--jp-layout-color0); +} + +.jp-icon-accent1[fill] { + fill: var(--jp-layout-color1); +} + +.jp-icon-accent2[fill] { + fill: var(--jp-layout-color2); +} + +.jp-icon-accent3[fill] { + fill: var(--jp-layout-color3); +} + +.jp-icon-accent4[fill] { + fill: var(--jp-layout-color4); +} + +.jp-icon-accent0[stroke] { + stroke: var(--jp-layout-color0); +} + +.jp-icon-accent1[stroke] { + stroke: var(--jp-layout-color1); +} + +.jp-icon-accent2[stroke] { + stroke: var(--jp-layout-color2); +} + +.jp-icon-accent3[stroke] { + stroke: var(--jp-layout-color3); +} + +.jp-icon-accent4[stroke] { + stroke: var(--jp-layout-color4); +} + +/* set the color of an icon to transparent */ +.jp-icon-none[fill] { + fill: none; +} + +.jp-icon-none[stroke] { + stroke: none; +} + +/* brand icon colors. Same for light and dark */ +.jp-icon-brand0[fill] { + fill: var(--jp-brand-color0); +} + +.jp-icon-brand1[fill] { + fill: var(--jp-brand-color1); +} + +.jp-icon-brand2[fill] { + fill: var(--jp-brand-color2); +} + +.jp-icon-brand3[fill] { + fill: var(--jp-brand-color3); +} + +.jp-icon-brand4[fill] { + fill: var(--jp-brand-color4); +} + +.jp-icon-brand0[stroke] { + stroke: var(--jp-brand-color0); +} + +.jp-icon-brand1[stroke] { + stroke: var(--jp-brand-color1); +} + +.jp-icon-brand2[stroke] { + stroke: var(--jp-brand-color2); +} + +.jp-icon-brand3[stroke] { + stroke: var(--jp-brand-color3); +} + +.jp-icon-brand4[stroke] { + stroke: var(--jp-brand-color4); +} + +/* warn icon colors. Same for light and dark */ +.jp-icon-warn0[fill] { + fill: var(--jp-warn-color0); +} + +.jp-icon-warn1[fill] { + fill: var(--jp-warn-color1); +} + +.jp-icon-warn2[fill] { + fill: var(--jp-warn-color2); +} + +.jp-icon-warn3[fill] { + fill: var(--jp-warn-color3); +} + +.jp-icon-warn0[stroke] { + stroke: var(--jp-warn-color0); +} + +.jp-icon-warn1[stroke] { + stroke: var(--jp-warn-color1); +} + +.jp-icon-warn2[stroke] { + stroke: var(--jp-warn-color2); +} + +.jp-icon-warn3[stroke] { + stroke: var(--jp-warn-color3); +} + +/* icon colors that contrast well with each other and most backgrounds */ +.jp-icon-contrast0[fill] { + fill: var(--jp-icon-contrast-color0); +} + +.jp-icon-contrast1[fill] { + fill: var(--jp-icon-contrast-color1); +} + +.jp-icon-contrast2[fill] { + fill: var(--jp-icon-contrast-color2); +} + +.jp-icon-contrast3[fill] { + fill: var(--jp-icon-contrast-color3); +} + +.jp-icon-contrast0[stroke] { + stroke: var(--jp-icon-contrast-color0); +} + +.jp-icon-contrast1[stroke] { + stroke: var(--jp-icon-contrast-color1); +} + +.jp-icon-contrast2[stroke] { + stroke: var(--jp-icon-contrast-color2); +} + +.jp-icon-contrast3[stroke] { + stroke: var(--jp-icon-contrast-color3); +} + +.jp-icon-dot[fill] { + fill: var(--jp-warn-color0); +} + +.jp-jupyter-icon-color[fill] { + fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0)); +} + +.jp-notebook-icon-color[fill] { + fill: var(--jp-notebook-icon-color, var(--jp-warn-color0)); +} + +.jp-json-icon-color[fill] { + fill: var(--jp-json-icon-color, var(--jp-warn-color1)); +} + +.jp-console-icon-color[fill] { + fill: var(--jp-console-icon-color, white); +} + +.jp-console-icon-background-color[fill] { + fill: var(--jp-console-icon-background-color, var(--jp-brand-color1)); +} + +.jp-terminal-icon-color[fill] { + fill: var(--jp-terminal-icon-color, var(--jp-layout-color2)); +} + +.jp-terminal-icon-background-color[fill] { + fill: var( + --jp-terminal-icon-background-color, + var(--jp-inverse-layout-color2) + ); +} + +.jp-text-editor-icon-color[fill] { + fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3)); +} + +.jp-inspector-icon-color[fill] { + fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3)); +} + +/* CSS for icons in selected filebrowser listing items */ +.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] { + fill: #fff; +} + +.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] { + fill: var(--jp-brand-color1); +} + +/* stylelint-disable selector-max-class, selector-max-compound-selectors */ + +/** +* TODO: come up with non css-hack solution for showing the busy icon on top +* of the close icon +* CSS for complex behavior of close icon of tabs in the main area tabbar +*/ +.lm-DockPanel-tabBar + .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty + > .lm-TabBar-tabCloseIcon + > :not(:hover) + > .jp-icon3[fill] { + fill: none; +} + +.lm-DockPanel-tabBar + .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty + > .lm-TabBar-tabCloseIcon + > :not(:hover) + > .jp-icon-busy[fill] { + fill: var(--jp-inverse-layout-color3); +} + +/* stylelint-enable selector-max-class, selector-max-compound-selectors */ + +/* CSS for icons in status bar */ +#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] { + fill: #fff; +} + +#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] { + fill: var(--jp-brand-color1); +} + +/* special handling for splash icon CSS. While the theme CSS reloads during + splash, the splash icon can loose theming. To prevent that, we set a + default for its color variable */ +:root { + --jp-warn-color0: var(--md-orange-700); +} + +/* not sure what to do with this one, used in filebrowser listing */ +.jp-DragIcon { + margin-right: 4px; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/** + * Support for alt colors for icons as inline SVG HTMLElements + */ + +/* alt recolor the primary elements of an icon */ +.jp-icon-alt .jp-icon0[fill] { + fill: var(--jp-layout-color0); +} + +.jp-icon-alt .jp-icon1[fill] { + fill: var(--jp-layout-color1); +} + +.jp-icon-alt .jp-icon2[fill] { + fill: var(--jp-layout-color2); +} + +.jp-icon-alt .jp-icon3[fill] { + fill: var(--jp-layout-color3); +} + +.jp-icon-alt .jp-icon4[fill] { + fill: var(--jp-layout-color4); +} + +.jp-icon-alt .jp-icon0[stroke] { + stroke: var(--jp-layout-color0); +} + +.jp-icon-alt .jp-icon1[stroke] { + stroke: var(--jp-layout-color1); +} + +.jp-icon-alt .jp-icon2[stroke] { + stroke: var(--jp-layout-color2); +} + +.jp-icon-alt .jp-icon3[stroke] { + stroke: var(--jp-layout-color3); +} + +.jp-icon-alt .jp-icon4[stroke] { + stroke: var(--jp-layout-color4); +} + +/* alt recolor the accent elements of an icon */ +.jp-icon-alt .jp-icon-accent0[fill] { + fill: var(--jp-inverse-layout-color0); +} + +.jp-icon-alt .jp-icon-accent1[fill] { + fill: var(--jp-inverse-layout-color1); +} + +.jp-icon-alt .jp-icon-accent2[fill] { + fill: var(--jp-inverse-layout-color2); +} + +.jp-icon-alt .jp-icon-accent3[fill] { + fill: var(--jp-inverse-layout-color3); +} + +.jp-icon-alt .jp-icon-accent4[fill] { + fill: var(--jp-inverse-layout-color4); +} + +.jp-icon-alt .jp-icon-accent0[stroke] { + stroke: var(--jp-inverse-layout-color0); +} + +.jp-icon-alt .jp-icon-accent1[stroke] { + stroke: var(--jp-inverse-layout-color1); +} + +.jp-icon-alt .jp-icon-accent2[stroke] { + stroke: var(--jp-inverse-layout-color2); +} + +.jp-icon-alt .jp-icon-accent3[stroke] { + stroke: var(--jp-inverse-layout-color3); +} + +.jp-icon-alt .jp-icon-accent4[stroke] { + stroke: var(--jp-inverse-layout-color4); +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content { + display: none !important; +} + +/** + * Support for hover colors for icons as inline SVG HTMLElements + */ + +/** + * regular colors + */ + +/* recolor the primary elements of an icon */ +.jp-icon-hover :hover .jp-icon0-hover[fill] { + fill: var(--jp-inverse-layout-color0); +} + +.jp-icon-hover :hover .jp-icon1-hover[fill] { + fill: var(--jp-inverse-layout-color1); +} + +.jp-icon-hover :hover .jp-icon2-hover[fill] { + fill: var(--jp-inverse-layout-color2); +} + +.jp-icon-hover :hover .jp-icon3-hover[fill] { + fill: var(--jp-inverse-layout-color3); +} + +.jp-icon-hover :hover .jp-icon4-hover[fill] { + fill: var(--jp-inverse-layout-color4); +} + +.jp-icon-hover :hover .jp-icon0-hover[stroke] { + stroke: var(--jp-inverse-layout-color0); +} + +.jp-icon-hover :hover .jp-icon1-hover[stroke] { + stroke: var(--jp-inverse-layout-color1); +} + +.jp-icon-hover :hover .jp-icon2-hover[stroke] { + stroke: var(--jp-inverse-layout-color2); +} + +.jp-icon-hover :hover .jp-icon3-hover[stroke] { + stroke: var(--jp-inverse-layout-color3); +} + +.jp-icon-hover :hover .jp-icon4-hover[stroke] { + stroke: var(--jp-inverse-layout-color4); +} + +/* recolor the accent elements of an icon */ +.jp-icon-hover :hover .jp-icon-accent0-hover[fill] { + fill: var(--jp-layout-color0); +} + +.jp-icon-hover :hover .jp-icon-accent1-hover[fill] { + fill: var(--jp-layout-color1); +} + +.jp-icon-hover :hover .jp-icon-accent2-hover[fill] { + fill: var(--jp-layout-color2); +} + +.jp-icon-hover :hover .jp-icon-accent3-hover[fill] { + fill: var(--jp-layout-color3); +} + +.jp-icon-hover :hover .jp-icon-accent4-hover[fill] { + fill: var(--jp-layout-color4); +} + +.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] { + stroke: var(--jp-layout-color0); +} + +.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] { + stroke: var(--jp-layout-color1); +} + +.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] { + stroke: var(--jp-layout-color2); +} + +.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] { + stroke: var(--jp-layout-color3); +} + +.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] { + stroke: var(--jp-layout-color4); +} + +/* set the color of an icon to transparent */ +.jp-icon-hover :hover .jp-icon-none-hover[fill] { + fill: none; +} + +.jp-icon-hover :hover .jp-icon-none-hover[stroke] { + stroke: none; +} + +/** + * inverse colors + */ + +/* inverse recolor the primary elements of an icon */ +.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] { + fill: var(--jp-layout-color0); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] { + fill: var(--jp-layout-color1); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] { + fill: var(--jp-layout-color2); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] { + fill: var(--jp-layout-color3); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] { + fill: var(--jp-layout-color4); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] { + stroke: var(--jp-layout-color0); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] { + stroke: var(--jp-layout-color1); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] { + stroke: var(--jp-layout-color2); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] { + stroke: var(--jp-layout-color3); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] { + stroke: var(--jp-layout-color4); +} + +/* inverse recolor the accent elements of an icon */ +.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] { + fill: var(--jp-inverse-layout-color0); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] { + fill: var(--jp-inverse-layout-color1); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] { + fill: var(--jp-inverse-layout-color2); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] { + fill: var(--jp-inverse-layout-color3); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] { + fill: var(--jp-inverse-layout-color4); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] { + stroke: var(--jp-inverse-layout-color0); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] { + stroke: var(--jp-inverse-layout-color1); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] { + stroke: var(--jp-inverse-layout-color2); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] { + stroke: var(--jp-inverse-layout-color3); +} + +.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] { + stroke: var(--jp-inverse-layout-color4); +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-IFrame { + width: 100%; + height: 100%; +} + +.jp-IFrame > iframe { + border: none; +} + +/* +When drag events occur, `lm-mod-override-cursor` is added to the body. +Because iframes steal all cursor events, the following two rules are necessary +to suppress pointer events while resize drags are occurring. There may be a +better solution to this problem. +*/ +body.lm-mod-override-cursor .jp-IFrame { + position: relative; +} + +body.lm-mod-override-cursor .jp-IFrame::before { + content: ''; + position: absolute; + top: 0; + left: 0; + right: 0; + bottom: 0; + background: transparent; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) 2014-2016, Jupyter Development Team. +| +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-HoverBox { + position: fixed; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-FormGroup-content fieldset { + border: none; + padding: 0; + min-width: 0; + width: 100%; +} + +/* stylelint-disable selector-max-type */ + +.jp-FormGroup-content fieldset .jp-inputFieldWrapper input, +.jp-FormGroup-content fieldset .jp-inputFieldWrapper select, +.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea { + font-size: var(--jp-content-font-size2); + border-color: var(--jp-input-border-color); + border-style: solid; + border-radius: var(--jp-border-radius); + border-width: 1px; + padding: 6px 8px; + background: none; + color: var(--jp-ui-font-color0); + height: inherit; +} + +.jp-FormGroup-content fieldset input[type='checkbox'] { + position: relative; + top: 2px; + margin-left: 0; +} + +.jp-FormGroup-content button.jp-mod-styled { + cursor: pointer; +} + +.jp-FormGroup-content .checkbox label { + cursor: pointer; + font-size: var(--jp-content-font-size1); +} + +.jp-FormGroup-content .jp-root > fieldset > legend { + display: none; +} + +.jp-FormGroup-content .jp-root > fieldset > p { + display: none; +} + +/** copy of `input.jp-mod-styled:focus` style */ +.jp-FormGroup-content fieldset input:focus, +.jp-FormGroup-content fieldset select:focus { + -moz-outline-radius: unset; + outline: var(--jp-border-width) solid var(--md-blue-500); + outline-offset: -1px; + box-shadow: inset 0 0 4px var(--md-blue-300); +} + +.jp-FormGroup-content fieldset input:hover:not(:focus), +.jp-FormGroup-content fieldset select:hover:not(:focus) { + background-color: var(--jp-border-color2); +} + +/* stylelint-enable selector-max-type */ + +.jp-FormGroup-content .checkbox .field-description { + /* Disable default description field for checkbox: + because other widgets do not have description fields, + we add descriptions to each widget on the field level. + */ + display: none; +} + +.jp-FormGroup-content #root__description { + display: none; +} + +.jp-FormGroup-content .jp-modifiedIndicator { + width: 5px; + background-color: var(--jp-brand-color2); + margin-top: 0; + margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1); + flex-shrink: 0; +} + +.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator { + background-color: var(--jp-error-color0); + margin-right: 0.5em; +} + +/* RJSF ARRAY style */ + +.jp-arrayFieldWrapper legend { + font-size: var(--jp-content-font-size2); + color: var(--jp-ui-font-color0); + flex-basis: 100%; + padding: 4px 0; + font-weight: var(--jp-content-heading-font-weight); + border-bottom: 1px solid var(--jp-border-color2); +} + +.jp-arrayFieldWrapper .field-description { + padding: 4px 0; + white-space: pre-wrap; +} + +.jp-arrayFieldWrapper .array-item { + width: 100%; + border: 1px solid var(--jp-border-color2); + border-radius: 4px; + margin: 4px; +} + +.jp-ArrayOperations { + display: flex; + margin-left: 8px; +} + +.jp-ArrayOperationsButton { + margin: 2px; +} + +.jp-ArrayOperationsButton .jp-icon3[fill] { + fill: var(--jp-ui-font-color0); +} + +button.jp-ArrayOperationsButton.jp-mod-styled:disabled { + cursor: not-allowed; + opacity: 0.5; +} + +/* RJSF form validation error */ + +.jp-FormGroup-content .validationErrors { + color: var(--jp-error-color0); +} + +/* Hide panel level error as duplicated the field level error */ +.jp-FormGroup-content .panel.errors { + display: none; +} + +/* RJSF normal content (settings-editor) */ + +.jp-FormGroup-contentNormal { + display: flex; + align-items: center; + flex-wrap: wrap; +} + +.jp-FormGroup-contentNormal .jp-FormGroup-contentItem { + margin-left: 7px; + color: var(--jp-ui-font-color0); +} + +.jp-FormGroup-contentNormal .jp-FormGroup-description { + flex-basis: 100%; + padding: 4px 7px; +} + +.jp-FormGroup-contentNormal .jp-FormGroup-default { + flex-basis: 100%; + padding: 4px 7px; +} + +.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel { + font-size: var(--jp-content-font-size1); + font-weight: normal; + min-width: 120px; +} + +.jp-FormGroup-contentNormal fieldset:not(:first-child) { + margin-left: 7px; +} + +.jp-FormGroup-contentNormal .field-array-of-string .array-item { + /* Display `jp-ArrayOperations` buttons side-by-side with content except + for small screens where flex-wrap will place them one below the other. + */ + display: flex; + align-items: center; + flex-wrap: wrap; +} + +.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group { + padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent); + margin-top: 2px; +} + +/* RJSF compact content (metadata-form) */ + +.jp-FormGroup-content.jp-FormGroup-contentCompact { + width: 100%; +} + +.jp-FormGroup-contentCompact .form-group { + display: flex; + padding: 0.5em 0.2em 0.5em 0; +} + +.jp-FormGroup-contentCompact + .jp-FormGroup-compactTitle + .jp-FormGroup-description { + font-size: var(--jp-ui-font-size1); + color: var(--jp-ui-font-color2); +} + +.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel { + padding-bottom: 0.3em; +} + +.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control { + width: 100%; + box-sizing: border-box; +} + +.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle { + padding-bottom: 7px; +} + +.jp-FormGroup-contentCompact + .jp-objectFieldWrapper + .jp-objectFieldWrapper + .form-group { + padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent); + margin-top: 2px; +} + +.jp-FormGroup-contentCompact ul.error-detail { + margin-block-start: 0.5em; + margin-block-end: 0.5em; + padding-inline-start: 1em; +} + +/* + * Copyright (c) Jupyter Development Team. + * Distributed under the terms of the Modified BSD License. + */ + +.jp-SidePanel { + display: flex; + flex-direction: column; + min-width: var(--jp-sidebar-min-width); + overflow-y: auto; + color: var(--jp-ui-font-color1); + background: var(--jp-layout-color1); + font-size: var(--jp-ui-font-size1); +} + +.jp-SidePanel-header { + flex: 0 0 auto; + display: flex; + border-bottom: var(--jp-border-width) solid var(--jp-border-color2); + font-size: var(--jp-ui-font-size0); + font-weight: 600; + letter-spacing: 1px; + margin: 0; + padding: 2px; + text-transform: uppercase; +} + +.jp-SidePanel-toolbar { + flex: 0 0 auto; +} + +.jp-SidePanel-content { + flex: 1 1 auto; +} + +.jp-SidePanel-toolbar, +.jp-AccordionPanel-toolbar { + height: var(--jp-private-toolbar-height); +} + +.jp-SidePanel-toolbar.jp-Toolbar-micro { + display: none; +} + +.lm-AccordionPanel .jp-AccordionPanel-title { + box-sizing: border-box; + line-height: 25px; + margin: 0; + display: flex; + align-items: center; + background: var(--jp-layout-color1); + color: var(--jp-ui-font-color1); + border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color); + box-shadow: var(--jp-toolbar-box-shadow); + font-size: var(--jp-ui-font-size0); +} + +.jp-AccordionPanel-title { + cursor: pointer; + user-select: none; + -moz-user-select: none; + -webkit-user-select: none; + text-transform: uppercase; +} + +.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title { + /* Title is rotated for horizontal accordion panel using CSS */ + display: block; + transform-origin: top left; + transform: rotate(-90deg) translate(-100%); +} + +.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel { + user-select: none; + text-overflow: ellipsis; + white-space: nowrap; + overflow: hidden; +} + +.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser { + transform: rotate(-90deg); + margin: auto 0; + height: 16px; +} + +.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser { + transform: rotate(0deg); +} + +.lm-AccordionPanel .jp-AccordionPanel-toolbar { + background: none; + box-shadow: none; + border: none; + margin-left: auto; +} + +.lm-AccordionPanel .lm-SplitPanel-handle:hover { + background: var(--jp-layout-color3); +} + +.jp-text-truncated { + overflow: hidden; + text-overflow: ellipsis; + white-space: nowrap; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) 2017, Jupyter Development Team. +| +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-Spinner { + position: absolute; + display: flex; + justify-content: center; + align-items: center; + z-index: 10; + left: 0; + top: 0; + width: 100%; + height: 100%; + background: var(--jp-layout-color0); + outline: none; +} + +.jp-SpinnerContent { + font-size: 10px; + margin: 50px auto; + text-indent: -9999em; + width: 3em; + height: 3em; + border-radius: 50%; + background: var(--jp-brand-color3); + background: linear-gradient( + to right, + #f37626 10%, + rgba(255, 255, 255, 0) 42% + ); + position: relative; + animation: load3 1s infinite linear, fadeIn 1s; +} + +.jp-SpinnerContent::before { + width: 50%; + height: 50%; + background: #f37626; + border-radius: 100% 0 0; + position: absolute; + top: 0; + left: 0; + content: ''; +} + +.jp-SpinnerContent::after { + background: var(--jp-layout-color0); + width: 75%; + height: 75%; + border-radius: 50%; + content: ''; + margin: auto; + position: absolute; + top: 0; + left: 0; + bottom: 0; + right: 0; +} + +@keyframes fadeIn { + 0% { + opacity: 0; + } + + 100% { + opacity: 1; + } +} + +@keyframes load3 { + 0% { + transform: rotate(0deg); + } + + 100% { + transform: rotate(360deg); + } +} + +/*----------------------------------------------------------------------------- +| Copyright (c) 2014-2017, Jupyter Development Team. +| +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +button.jp-mod-styled { + font-size: var(--jp-ui-font-size1); + color: var(--jp-ui-font-color0); + border: none; + box-sizing: border-box; + text-align: center; + line-height: 32px; + height: 32px; + padding: 0 12px; + letter-spacing: 0.8px; + outline: none; + appearance: none; + -webkit-appearance: none; + -moz-appearance: none; +} + +input.jp-mod-styled { + background: var(--jp-input-background); + height: 28px; + box-sizing: border-box; + border: var(--jp-border-width) solid var(--jp-border-color1); + padding-left: 7px; + padding-right: 7px; + font-size: var(--jp-ui-font-size2); + color: var(--jp-ui-font-color0); + outline: none; + appearance: none; + -webkit-appearance: none; + -moz-appearance: none; +} + +input[type='checkbox'].jp-mod-styled { + appearance: checkbox; + -webkit-appearance: checkbox; + -moz-appearance: checkbox; + height: auto; +} + +input.jp-mod-styled:focus { + border: var(--jp-border-width) solid var(--md-blue-500); + box-shadow: inset 0 0 4px var(--md-blue-300); +} + +.jp-select-wrapper { + display: flex; + position: relative; + flex-direction: column; + padding: 1px; + background-color: var(--jp-layout-color1); + box-sizing: border-box; + margin-bottom: 12px; +} + +.jp-select-wrapper:not(.multiple) { + height: 28px; +} + +.jp-select-wrapper.jp-mod-focused select.jp-mod-styled { + border: var(--jp-border-width) solid var(--jp-input-active-border-color); + box-shadow: var(--jp-input-box-shadow); + background-color: var(--jp-input-active-background); +} + +select.jp-mod-styled:hover { + cursor: pointer; + color: var(--jp-ui-font-color0); + background-color: var(--jp-input-hover-background); + box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5); +} + +select.jp-mod-styled { + flex: 1 1 auto; + width: 100%; + font-size: var(--jp-ui-font-size2); + background: var(--jp-input-background); + color: var(--jp-ui-font-color0); + padding: 0 25px 0 8px; + border: var(--jp-border-width) solid var(--jp-input-border-color); + border-radius: 0; + outline: none; + appearance: none; + -webkit-appearance: none; + -moz-appearance: none; +} + +select.jp-mod-styled:not([multiple]) { + height: 32px; +} + +select.jp-mod-styled[multiple] { + max-height: 200px; + overflow-y: auto; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-switch { + display: flex; + align-items: center; + padding-left: 4px; + padding-right: 4px; + font-size: var(--jp-ui-font-size1); + background-color: transparent; + color: var(--jp-ui-font-color1); + border: none; + height: 20px; +} + +.jp-switch:hover { + background-color: var(--jp-layout-color2); +} + +.jp-switch-label { + margin-right: 5px; + font-family: var(--jp-ui-font-family); +} + +.jp-switch-track { + cursor: pointer; + background-color: var(--jp-switch-color, var(--jp-border-color1)); + -webkit-transition: 0.4s; + transition: 0.4s; + border-radius: 34px; + height: 16px; + width: 35px; + position: relative; +} + +.jp-switch-track::before { + content: ''; + position: absolute; + height: 10px; + width: 10px; + margin: 3px; + left: 0; + background-color: var(--jp-ui-inverse-font-color1); + -webkit-transition: 0.4s; + transition: 0.4s; + border-radius: 50%; +} + +.jp-switch[aria-checked='true'] .jp-switch-track { + background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0)); +} + +.jp-switch[aria-checked='true'] .jp-switch-track::before { + /* track width (35) - margins (3 + 3) - thumb width (10) */ + left: 19px; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) 2014-2016, Jupyter Development Team. +| +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +:root { + --jp-private-toolbar-height: calc( + 28px + var(--jp-border-width) + ); /* leave 28px for content */ +} + +.jp-Toolbar { + color: var(--jp-ui-font-color1); + flex: 0 0 auto; + display: flex; + flex-direction: row; + border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color); + box-shadow: var(--jp-toolbar-box-shadow); + background: var(--jp-toolbar-background); + min-height: var(--jp-toolbar-micro-height); + padding: 2px; + z-index: 8; + overflow-x: hidden; +} + +/* Toolbar items */ + +.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer { + flex-grow: 1; + flex-shrink: 1; +} + +.jp-Toolbar-item.jp-Toolbar-kernelStatus { + display: inline-block; + width: 32px; + background-repeat: no-repeat; + background-position: center; + background-size: 16px; +} + +.jp-Toolbar > .jp-Toolbar-item { + flex: 0 0 auto; + display: flex; + padding-left: 1px; + padding-right: 1px; + font-size: var(--jp-ui-font-size1); + line-height: var(--jp-private-toolbar-height); + height: 100%; +} + +/* Toolbar buttons */ + +/* This is the div we use to wrap the react component into a Widget */ +div.jp-ToolbarButton { + color: transparent; + border: none; + box-sizing: border-box; + outline: none; + appearance: none; + -webkit-appearance: none; + -moz-appearance: none; + padding: 0; + margin: 0; +} + +button.jp-ToolbarButtonComponent { + background: var(--jp-layout-color1); + border: none; + box-sizing: border-box; + outline: none; + appearance: none; + -webkit-appearance: none; + -moz-appearance: none; + padding: 0 6px; + margin: 0; + height: 24px; + border-radius: var(--jp-border-radius); + display: flex; + align-items: center; + text-align: center; + font-size: 14px; + min-width: unset; + min-height: unset; +} + +button.jp-ToolbarButtonComponent:disabled { + opacity: 0.4; +} + +button.jp-ToolbarButtonComponent > span { + padding: 0; + flex: 0 0 auto; +} + +button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label { + font-size: var(--jp-ui-font-size1); + line-height: 100%; + padding-left: 2px; + color: var(--jp-ui-font-color1); + font-family: var(--jp-ui-font-family); +} + +#jp-main-dock-panel[data-mode='single-document'] + .jp-MainAreaWidget + > .jp-Toolbar.jp-Toolbar-micro { + padding: 0; + min-height: 0; +} + +#jp-main-dock-panel[data-mode='single-document'] + .jp-MainAreaWidget + > .jp-Toolbar { + border: none; + box-shadow: none; +} + +/* + * Copyright (c) Jupyter Development Team. + * Distributed under the terms of the Modified BSD License. + */ + +.jp-WindowedPanel-outer { + position: relative; + overflow-y: auto; +} + +.jp-WindowedPanel-inner { + position: relative; +} + +.jp-WindowedPanel-window { + position: absolute; + left: 0; + right: 0; + overflow: visible; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/* Sibling imports */ + +body { + color: var(--jp-ui-font-color1); + font-size: var(--jp-ui-font-size1); +} + +/* Disable native link decoration styles everywhere outside of dialog boxes */ +a { + text-decoration: unset; + color: unset; +} + +a:hover { + text-decoration: unset; + color: unset; +} + +/* Accessibility for links inside dialog box text */ +.jp-Dialog-content a { + text-decoration: revert; + color: var(--jp-content-link-color); +} + +.jp-Dialog-content a:hover { + text-decoration: revert; +} + +/* Styles for ui-components */ +.jp-Button { + color: var(--jp-ui-font-color2); + border-radius: var(--jp-border-radius); + padding: 0 12px; + font-size: var(--jp-ui-font-size1); + + /* Copy from blueprint 3 */ + display: inline-flex; + flex-direction: row; + border: none; + cursor: pointer; + align-items: center; + justify-content: center; + text-align: left; + vertical-align: middle; + min-height: 30px; + min-width: 30px; +} + +.jp-Button:disabled { + cursor: not-allowed; +} + +.jp-Button:empty { + padding: 0 !important; +} + +.jp-Button.jp-mod-small { + min-height: 24px; + min-width: 24px; + font-size: 12px; + padding: 0 7px; +} + +/* Use our own theme for hover styles */ +.jp-Button.jp-mod-minimal:hover { + background-color: var(--jp-layout-color2); +} + +.jp-Button.jp-mod-minimal { + background: none; +} + +.jp-InputGroup { + display: block; + position: relative; +} + +.jp-InputGroup input { + box-sizing: border-box; + border: none; + border-radius: 0; + background-color: transparent; + color: var(--jp-ui-font-color0); + box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color); + padding-bottom: 0; + padding-top: 0; + padding-left: 10px; + padding-right: 28px; + position: relative; + width: 100%; + -webkit-appearance: none; + -moz-appearance: none; + appearance: none; + font-size: 14px; + font-weight: 400; + height: 30px; + line-height: 30px; + outline: none; + vertical-align: middle; +} + +.jp-InputGroup input:focus { + box-shadow: inset 0 0 0 var(--jp-border-width) + var(--jp-input-active-box-shadow-color), + inset 0 0 0 3px var(--jp-input-active-box-shadow-color); +} + +.jp-InputGroup input:disabled { + cursor: not-allowed; + resize: block; + background-color: var(--jp-layout-color2); + color: var(--jp-ui-font-color2); +} + +.jp-InputGroup input:disabled ~ span { + cursor: not-allowed; + color: var(--jp-ui-font-color2); +} + +.jp-InputGroup input::placeholder, +input::placeholder { + color: var(--jp-ui-font-color2); +} + +.jp-InputGroupAction { + position: absolute; + bottom: 1px; + right: 0; + padding: 6px; +} + +.jp-HTMLSelect.jp-DefaultStyle select { + background-color: initial; + border: none; + border-radius: 0; + box-shadow: none; + color: var(--jp-ui-font-color0); + display: block; + font-size: var(--jp-ui-font-size1); + font-family: var(--jp-ui-font-family); + height: 24px; + line-height: 14px; + padding: 0 25px 0 10px; + text-align: left; + -moz-appearance: none; + -webkit-appearance: none; +} + +.jp-HTMLSelect.jp-DefaultStyle select:disabled { + background-color: var(--jp-layout-color2); + color: var(--jp-ui-font-color2); + cursor: not-allowed; + resize: block; +} + +.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span { + cursor: not-allowed; +} + +/* Use our own theme for hover and option styles */ +/* stylelint-disable-next-line selector-max-type */ +.jp-HTMLSelect.jp-DefaultStyle select:hover, +.jp-HTMLSelect.jp-DefaultStyle select > option { + background-color: var(--jp-layout-color2); + color: var(--jp-ui-font-color0); +} + +select { + box-sizing: border-box; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Styles +|----------------------------------------------------------------------------*/ + +.jp-StatusBar-Widget { + display: flex; + align-items: center; + background: var(--jp-layout-color2); + min-height: var(--jp-statusbar-height); + justify-content: space-between; + padding: 0 10px; +} + +.jp-StatusBar-Left { + display: flex; + align-items: center; + flex-direction: row; +} + +.jp-StatusBar-Middle { + display: flex; + align-items: center; +} + +.jp-StatusBar-Right { + display: flex; + align-items: center; + flex-direction: row-reverse; +} + +.jp-StatusBar-Item { + max-height: var(--jp-statusbar-height); + margin: 0 2px; + height: var(--jp-statusbar-height); + white-space: nowrap; + text-overflow: ellipsis; + color: var(--jp-ui-font-color1); + padding: 0 6px; +} + +.jp-mod-highlighted:hover { + background-color: var(--jp-layout-color3); +} + +.jp-mod-clicked { + background-color: var(--jp-brand-color1); +} + +.jp-mod-clicked:hover { + background-color: var(--jp-brand-color0); +} + +.jp-mod-clicked .jp-StatusBar-TextItem { + color: var(--jp-ui-inverse-font-color1); +} + +.jp-StatusBar-HoverItem { + box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)'; +} + +.jp-StatusBar-TextItem { + font-size: var(--jp-ui-font-size1); + font-family: var(--jp-ui-font-family); + line-height: 24px; + color: var(--jp-ui-font-color1); +} + +.jp-StatusBar-GroupItem { + display: flex; + align-items: center; + flex-direction: row; +} + +.jp-Statusbar-ProgressCircle svg { + display: block; + margin: 0 auto; + width: 16px; + height: 24px; + align-self: normal; +} + +.jp-Statusbar-ProgressCircle path { + fill: var(--jp-inverse-layout-color3); +} + +.jp-Statusbar-ProgressBar-progress-bar { + height: 10px; + width: 100px; + border: solid 0.25px var(--jp-brand-color2); + border-radius: 3px; + overflow: hidden; + align-self: center; +} + +.jp-Statusbar-ProgressBar-progress-bar > div { + background-color: var(--jp-brand-color2); + background-image: linear-gradient( + -45deg, + rgba(255, 255, 255, 0.2) 25%, + transparent 25%, + transparent 50%, + rgba(255, 255, 255, 0.2) 50%, + rgba(255, 255, 255, 0.2) 75%, + transparent 75%, + transparent + ); + background-size: 40px 40px; + float: left; + width: 0%; + height: 100%; + font-size: 12px; + line-height: 14px; + color: #fff; + text-align: center; + animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite; +} + +.jp-Statusbar-ProgressBar-progress-bar p { + color: var(--jp-ui-font-color1); + font-family: var(--jp-ui-font-family); + font-size: var(--jp-ui-font-size1); + line-height: 10px; + width: 100px; +} + +@keyframes jp-Statusbar-ExecutionTime-progress-bar { + 0% { + background-position: 0 0; + } + + 100% { + background-position: 40px 40px; + } +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Variables +|----------------------------------------------------------------------------*/ + +:root { + --jp-private-commandpalette-search-height: 28px; +} + +/*----------------------------------------------------------------------------- +| Overall styles +|----------------------------------------------------------------------------*/ + +.lm-CommandPalette { + padding-bottom: 0; + color: var(--jp-ui-font-color1); + background: var(--jp-layout-color1); + + /* This is needed so that all font sizing of children done in ems is + * relative to this base size */ + font-size: var(--jp-ui-font-size1); +} + +/*----------------------------------------------------------------------------- +| Modal variant +|----------------------------------------------------------------------------*/ + +.jp-ModalCommandPalette { + position: absolute; + z-index: 10000; + top: 38px; + left: 30%; + margin: 0; + padding: 4px; + width: 40%; + box-shadow: var(--jp-elevation-z4); + border-radius: 4px; + background: var(--jp-layout-color0); +} + +.jp-ModalCommandPalette .lm-CommandPalette { + max-height: 40vh; +} + +.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after { + display: none; +} + +.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header { + display: none; +} + +.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item { + margin-left: 4px; + margin-right: 4px; +} + +.jp-ModalCommandPalette + .lm-CommandPalette + .lm-CommandPalette-item.lm-mod-disabled { + display: none; +} + +/*----------------------------------------------------------------------------- +| Search +|----------------------------------------------------------------------------*/ + +.lm-CommandPalette-search { + padding: 4px; + background-color: var(--jp-layout-color1); + z-index: 2; +} + +.lm-CommandPalette-wrapper { + overflow: overlay; + padding: 0 9px; + background-color: var(--jp-input-active-background); + height: 30px; + box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color); +} + +.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper { + box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color), + inset 0 0 0 3px var(--jp-input-active-box-shadow-color); +} + +.jp-SearchIconGroup { + color: white; + background-color: var(--jp-brand-color1); + position: absolute; + top: 4px; + right: 4px; + padding: 5px 5px 1px; +} + +.jp-SearchIconGroup svg { + height: 20px; + width: 20px; +} + +.jp-SearchIconGroup .jp-icon3[fill] { + fill: var(--jp-layout-color0); +} + +.lm-CommandPalette-input { + background: transparent; + width: calc(100% - 18px); + float: left; + border: none; + outline: none; + font-size: var(--jp-ui-font-size1); + color: var(--jp-ui-font-color0); + line-height: var(--jp-private-commandpalette-search-height); +} + +.lm-CommandPalette-input::-webkit-input-placeholder, +.lm-CommandPalette-input::-moz-placeholder, +.lm-CommandPalette-input:-ms-input-placeholder { + color: var(--jp-ui-font-color2); + font-size: var(--jp-ui-font-size1); +} + +/*----------------------------------------------------------------------------- +| Results +|----------------------------------------------------------------------------*/ + +.lm-CommandPalette-header:first-child { + margin-top: 0; +} + +.lm-CommandPalette-header { + border-bottom: solid var(--jp-border-width) var(--jp-border-color2); + color: var(--jp-ui-font-color1); + cursor: pointer; + display: flex; + font-size: var(--jp-ui-font-size0); + font-weight: 600; + letter-spacing: 1px; + margin-top: 8px; + padding: 8px 0 8px 12px; + text-transform: uppercase; +} + +.lm-CommandPalette-header.lm-mod-active { + background: var(--jp-layout-color2); +} + +.lm-CommandPalette-header > mark { + background-color: transparent; + font-weight: bold; + color: var(--jp-ui-font-color1); +} + +.lm-CommandPalette-item { + padding: 4px 12px 4px 4px; + color: var(--jp-ui-font-color1); + font-size: var(--jp-ui-font-size1); + font-weight: 400; + display: flex; +} + +.lm-CommandPalette-item.lm-mod-disabled { + color: var(--jp-ui-font-color2); +} + +.lm-CommandPalette-item.lm-mod-active { + color: var(--jp-ui-inverse-font-color1); + background: var(--jp-brand-color1); +} + +.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark { + color: var(--jp-ui-inverse-font-color0); +} + +.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] { + fill: var(--jp-layout-color0); +} + +.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) { + color: var(--jp-ui-inverse-font-color1); + background: var(--jp-brand-color1); +} + +.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) { + background: var(--jp-layout-color2); +} + +.lm-CommandPalette-itemContent { + overflow: hidden; +} + +.lm-CommandPalette-itemLabel > mark { + color: var(--jp-ui-font-color0); + background-color: transparent; + font-weight: bold; +} + +.lm-CommandPalette-item.lm-mod-disabled mark { + color: var(--jp-ui-font-color2); +} + +.lm-CommandPalette-item .lm-CommandPalette-itemIcon { + margin: 0 4px 0 0; + position: relative; + width: 16px; + top: 2px; + flex: 0 0 auto; +} + +.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon { + opacity: 0.6; +} + +.lm-CommandPalette-item .lm-CommandPalette-itemShortcut { + flex: 0 0 auto; +} + +.lm-CommandPalette-itemCaption { + display: none; +} + +.lm-CommandPalette-content { + background-color: var(--jp-layout-color1); +} + +.lm-CommandPalette-content:empty::after { + content: 'No results'; + margin: auto; + margin-top: 20px; + width: 100px; + display: block; + font-size: var(--jp-ui-font-size2); + font-family: var(--jp-ui-font-family); + font-weight: lighter; +} + +.lm-CommandPalette-emptyMessage { + text-align: center; + margin-top: 24px; + line-height: 1.32; + padding: 0 8px; + color: var(--jp-content-font-color3); +} + +/*----------------------------------------------------------------------------- +| Copyright (c) 2014-2017, Jupyter Development Team. +| +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-Dialog { + position: absolute; + z-index: 10000; + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + top: 0; + left: 0; + margin: 0; + padding: 0; + width: 100%; + height: 100%; + background: var(--jp-dialog-background); +} + +.jp-Dialog-content { + display: flex; + flex-direction: column; + margin-left: auto; + margin-right: auto; + background: var(--jp-layout-color1); + padding: 24px 24px 12px; + min-width: 300px; + min-height: 150px; + max-width: 1000px; + max-height: 500px; + box-sizing: border-box; + box-shadow: var(--jp-elevation-z20); + word-wrap: break-word; + border-radius: var(--jp-border-radius); + + /* This is needed so that all font sizing of children done in ems is + * relative to this base size */ + font-size: var(--jp-ui-font-size1); + color: var(--jp-ui-font-color1); + resize: both; +} + +.jp-Dialog-content.jp-Dialog-content-small { + max-width: 500px; +} + +.jp-Dialog-button { + overflow: visible; +} + +button.jp-Dialog-button:focus { + outline: 1px solid var(--jp-brand-color1); + outline-offset: 4px; + -moz-outline-radius: 0; +} + +button.jp-Dialog-button:focus::-moz-focus-inner { + border: 0; +} + +button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus, +button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus, +button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus { + outline-offset: 4px; + -moz-outline-radius: 0; +} + +button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus { + outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1)); +} + +button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus { + outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1)); +} + +button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus { + outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600)); +} + +button.jp-Dialog-close-button { + padding: 0; + height: 100%; + min-width: unset; + min-height: unset; +} + +.jp-Dialog-header { + display: flex; + justify-content: space-between; + flex: 0 0 auto; + padding-bottom: 12px; + font-size: var(--jp-ui-font-size3); + font-weight: 400; + color: var(--jp-ui-font-color1); +} + +.jp-Dialog-body { + display: flex; + flex-direction: column; + flex: 1 1 auto; + font-size: var(--jp-ui-font-size1); + background: var(--jp-layout-color1); + color: var(--jp-ui-font-color1); + overflow: auto; +} + +.jp-Dialog-footer { + display: flex; + flex-direction: row; + justify-content: flex-end; + align-items: center; + flex: 0 0 auto; + margin-left: -12px; + margin-right: -12px; + padding: 12px; +} + +.jp-Dialog-checkbox { + padding-right: 5px; +} + +.jp-Dialog-checkbox > input:focus-visible { + outline: 1px solid var(--jp-input-active-border-color); + outline-offset: 1px; +} + +.jp-Dialog-spacer { + flex: 1 1 auto; +} + +.jp-Dialog-title { + overflow: hidden; + white-space: nowrap; + text-overflow: ellipsis; +} + +.jp-Dialog-body > .jp-select-wrapper { + width: 100%; +} + +.jp-Dialog-body > button { + padding: 0 16px; +} + +.jp-Dialog-body > label { + line-height: 1.4; + color: var(--jp-ui-font-color0); +} + +.jp-Dialog-button.jp-mod-styled:not(:last-child) { + margin-right: 12px; +} + +/* + * Copyright (c) Jupyter Development Team. + * Distributed under the terms of the Modified BSD License. + */ + +.jp-Input-Boolean-Dialog { + flex-direction: row-reverse; + align-items: end; + width: 100%; +} + +.jp-Input-Boolean-Dialog > label { + flex: 1 1 auto; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) 2014-2016, Jupyter Development Team. +| +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-MainAreaWidget > :focus { + outline: none; +} + +.jp-MainAreaWidget .jp-MainAreaWidget-error { + padding: 6px; +} + +.jp-MainAreaWidget .jp-MainAreaWidget-error > pre { + width: auto; + padding: 10px; + background: var(--jp-error-color3); + border: var(--jp-border-width) solid var(--jp-error-color1); + border-radius: var(--jp-border-radius); + color: var(--jp-ui-font-color1); + font-size: var(--jp-ui-font-size1); + white-space: pre-wrap; + word-wrap: break-word; +} + +/* + * Copyright (c) Jupyter Development Team. + * Distributed under the terms of the Modified BSD License. + */ + +/** + * google-material-color v1.2.6 + * https://github.com/danlevan/google-material-color + */ +:root { + --md-red-50: #ffebee; + --md-red-100: #ffcdd2; + --md-red-200: #ef9a9a; + --md-red-300: #e57373; + --md-red-400: #ef5350; + --md-red-500: #f44336; + --md-red-600: #e53935; + --md-red-700: #d32f2f; + --md-red-800: #c62828; + --md-red-900: #b71c1c; + --md-red-A100: #ff8a80; + --md-red-A200: #ff5252; + --md-red-A400: #ff1744; + --md-red-A700: #d50000; + --md-pink-50: #fce4ec; + --md-pink-100: #f8bbd0; + --md-pink-200: #f48fb1; + --md-pink-300: #f06292; + --md-pink-400: #ec407a; + --md-pink-500: #e91e63; + --md-pink-600: #d81b60; + --md-pink-700: #c2185b; + --md-pink-800: #ad1457; + --md-pink-900: #880e4f; + --md-pink-A100: #ff80ab; + --md-pink-A200: #ff4081; + --md-pink-A400: #f50057; + --md-pink-A700: #c51162; + --md-purple-50: #f3e5f5; + --md-purple-100: #e1bee7; + --md-purple-200: #ce93d8; + --md-purple-300: #ba68c8; + --md-purple-400: #ab47bc; + --md-purple-500: #9c27b0; + --md-purple-600: #8e24aa; + --md-purple-700: #7b1fa2; + --md-purple-800: #6a1b9a; + --md-purple-900: #4a148c; + --md-purple-A100: #ea80fc; + --md-purple-A200: #e040fb; + --md-purple-A400: #d500f9; + --md-purple-A700: #a0f; + --md-deep-purple-50: #ede7f6; + --md-deep-purple-100: #d1c4e9; + --md-deep-purple-200: #b39ddb; + --md-deep-purple-300: #9575cd; + --md-deep-purple-400: #7e57c2; + --md-deep-purple-500: #673ab7; + --md-deep-purple-600: #5e35b1; + --md-deep-purple-700: #512da8; + --md-deep-purple-800: #4527a0; + --md-deep-purple-900: #311b92; + --md-deep-purple-A100: #b388ff; + --md-deep-purple-A200: #7c4dff; + --md-deep-purple-A400: #651fff; + --md-deep-purple-A700: #6200ea; + --md-indigo-50: #e8eaf6; + --md-indigo-100: #c5cae9; + --md-indigo-200: #9fa8da; + --md-indigo-300: #7986cb; + --md-indigo-400: #5c6bc0; + --md-indigo-500: #3f51b5; + --md-indigo-600: #3949ab; + --md-indigo-700: #303f9f; + --md-indigo-800: #283593; + --md-indigo-900: #1a237e; + --md-indigo-A100: #8c9eff; + --md-indigo-A200: #536dfe; + --md-indigo-A400: #3d5afe; + --md-indigo-A700: #304ffe; + --md-blue-50: #e3f2fd; + --md-blue-100: #bbdefb; + --md-blue-200: #90caf9; + --md-blue-300: #64b5f6; + --md-blue-400: #42a5f5; + --md-blue-500: #2196f3; + --md-blue-600: #1e88e5; + --md-blue-700: #1976d2; + --md-blue-800: #1565c0; + --md-blue-900: #0d47a1; + --md-blue-A100: #82b1ff; + --md-blue-A200: #448aff; + --md-blue-A400: #2979ff; + --md-blue-A700: #2962ff; + --md-light-blue-50: #e1f5fe; + --md-light-blue-100: #b3e5fc; + --md-light-blue-200: #81d4fa; + --md-light-blue-300: #4fc3f7; + --md-light-blue-400: #29b6f6; + --md-light-blue-500: #03a9f4; + --md-light-blue-600: #039be5; + --md-light-blue-700: #0288d1; + --md-light-blue-800: #0277bd; + --md-light-blue-900: #01579b; + --md-light-blue-A100: #80d8ff; + --md-light-blue-A200: #40c4ff; + --md-light-blue-A400: #00b0ff; + --md-light-blue-A700: #0091ea; + --md-cyan-50: #e0f7fa; + --md-cyan-100: #b2ebf2; + --md-cyan-200: #80deea; + --md-cyan-300: #4dd0e1; + --md-cyan-400: #26c6da; + --md-cyan-500: #00bcd4; + --md-cyan-600: #00acc1; + --md-cyan-700: #0097a7; + --md-cyan-800: #00838f; + --md-cyan-900: #006064; + --md-cyan-A100: #84ffff; + --md-cyan-A200: #18ffff; + --md-cyan-A400: #00e5ff; + --md-cyan-A700: #00b8d4; + --md-teal-50: #e0f2f1; + --md-teal-100: #b2dfdb; + --md-teal-200: #80cbc4; + --md-teal-300: #4db6ac; + --md-teal-400: #26a69a; + --md-teal-500: #009688; + --md-teal-600: #00897b; + --md-teal-700: #00796b; + --md-teal-800: #00695c; + --md-teal-900: #004d40; + --md-teal-A100: #a7ffeb; + --md-teal-A200: #64ffda; + --md-teal-A400: #1de9b6; + --md-teal-A700: #00bfa5; + --md-green-50: #e8f5e9; + --md-green-100: #c8e6c9; + --md-green-200: #a5d6a7; + --md-green-300: #81c784; + --md-green-400: #66bb6a; + --md-green-500: #4caf50; + --md-green-600: #43a047; + --md-green-700: #388e3c; + --md-green-800: #2e7d32; + --md-green-900: #1b5e20; + --md-green-A100: #b9f6ca; + --md-green-A200: #69f0ae; + --md-green-A400: #00e676; + --md-green-A700: #00c853; + --md-light-green-50: #f1f8e9; + --md-light-green-100: #dcedc8; + --md-light-green-200: #c5e1a5; + --md-light-green-300: #aed581; + --md-light-green-400: #9ccc65; + --md-light-green-500: #8bc34a; + --md-light-green-600: #7cb342; + --md-light-green-700: #689f38; + --md-light-green-800: #558b2f; + --md-light-green-900: #33691e; + --md-light-green-A100: #ccff90; + --md-light-green-A200: #b2ff59; + --md-light-green-A400: #76ff03; + --md-light-green-A700: #64dd17; + --md-lime-50: #f9fbe7; + --md-lime-100: #f0f4c3; + --md-lime-200: #e6ee9c; + --md-lime-300: #dce775; + --md-lime-400: #d4e157; + --md-lime-500: #cddc39; + --md-lime-600: #c0ca33; + --md-lime-700: #afb42b; + --md-lime-800: #9e9d24; + --md-lime-900: #827717; + --md-lime-A100: #f4ff81; + --md-lime-A200: #eeff41; + --md-lime-A400: #c6ff00; + --md-lime-A700: #aeea00; + --md-yellow-50: #fffde7; + --md-yellow-100: #fff9c4; + --md-yellow-200: #fff59d; + --md-yellow-300: #fff176; + --md-yellow-400: #ffee58; + --md-yellow-500: #ffeb3b; + --md-yellow-600: #fdd835; + --md-yellow-700: #fbc02d; + --md-yellow-800: #f9a825; + --md-yellow-900: #f57f17; + --md-yellow-A100: #ffff8d; + --md-yellow-A200: #ff0; + --md-yellow-A400: #ffea00; + --md-yellow-A700: #ffd600; + --md-amber-50: #fff8e1; + --md-amber-100: #ffecb3; + --md-amber-200: #ffe082; + --md-amber-300: #ffd54f; + --md-amber-400: #ffca28; + --md-amber-500: #ffc107; + --md-amber-600: #ffb300; + --md-amber-700: #ffa000; + --md-amber-800: #ff8f00; + --md-amber-900: #ff6f00; + --md-amber-A100: #ffe57f; + --md-amber-A200: #ffd740; + --md-amber-A400: #ffc400; + --md-amber-A700: #ffab00; + --md-orange-50: #fff3e0; + --md-orange-100: #ffe0b2; + --md-orange-200: #ffcc80; + --md-orange-300: #ffb74d; + --md-orange-400: #ffa726; + --md-orange-500: #ff9800; + --md-orange-600: #fb8c00; + --md-orange-700: #f57c00; + --md-orange-800: #ef6c00; + --md-orange-900: #e65100; + --md-orange-A100: #ffd180; + --md-orange-A200: #ffab40; + --md-orange-A400: #ff9100; + --md-orange-A700: #ff6d00; + --md-deep-orange-50: #fbe9e7; + --md-deep-orange-100: #ffccbc; + --md-deep-orange-200: #ffab91; + --md-deep-orange-300: #ff8a65; + --md-deep-orange-400: #ff7043; + --md-deep-orange-500: #ff5722; + --md-deep-orange-600: #f4511e; + --md-deep-orange-700: #e64a19; + --md-deep-orange-800: #d84315; + --md-deep-orange-900: #bf360c; + --md-deep-orange-A100: #ff9e80; + --md-deep-orange-A200: #ff6e40; + --md-deep-orange-A400: #ff3d00; + --md-deep-orange-A700: #dd2c00; + --md-brown-50: #efebe9; + --md-brown-100: #d7ccc8; + --md-brown-200: #bcaaa4; + --md-brown-300: #a1887f; + --md-brown-400: #8d6e63; + --md-brown-500: #795548; + --md-brown-600: #6d4c41; + --md-brown-700: #5d4037; + --md-brown-800: #4e342e; + --md-brown-900: #3e2723; + --md-grey-50: #fafafa; + --md-grey-100: #f5f5f5; + --md-grey-200: #eee; + --md-grey-300: #e0e0e0; + --md-grey-400: #bdbdbd; + --md-grey-500: #9e9e9e; + --md-grey-600: #757575; + --md-grey-700: #616161; + --md-grey-800: #424242; + --md-grey-900: #212121; + --md-blue-grey-50: #eceff1; + --md-blue-grey-100: #cfd8dc; + --md-blue-grey-200: #b0bec5; + --md-blue-grey-300: #90a4ae; + --md-blue-grey-400: #78909c; + --md-blue-grey-500: #607d8b; + --md-blue-grey-600: #546e7a; + --md-blue-grey-700: #455a64; + --md-blue-grey-800: #37474f; + --md-blue-grey-900: #263238; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) 2014-2017, Jupyter Development Team. +| +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| RenderedText +|----------------------------------------------------------------------------*/ + +:root { + /* This is the padding value to fill the gaps between lines containing spans with background color. */ + --jp-private-code-span-padding: calc( + (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2 + ); +} + +.jp-RenderedText { + text-align: left; + padding-left: var(--jp-code-padding); + line-height: var(--jp-code-line-height); + font-family: var(--jp-code-font-family); +} + +.jp-RenderedText pre, +.jp-RenderedJavaScript pre, +.jp-RenderedHTMLCommon pre { + color: var(--jp-content-font-color1); + font-size: var(--jp-code-font-size); + border: none; + margin: 0; + padding: 0; +} + +.jp-RenderedText pre a:link { + text-decoration: none; + color: var(--jp-content-link-color); +} + +.jp-RenderedText pre a:hover { + text-decoration: underline; + color: var(--jp-content-link-color); +} + +.jp-RenderedText pre a:visited { + text-decoration: none; + color: var(--jp-content-link-color); +} + +/* console foregrounds and backgrounds */ +.jp-RenderedText pre .ansi-black-fg { + color: #3e424d; +} + +.jp-RenderedText pre .ansi-red-fg { + color: #e75c58; +} + +.jp-RenderedText pre .ansi-green-fg { + color: #00a250; +} + +.jp-RenderedText pre .ansi-yellow-fg { + color: #ddb62b; +} + +.jp-RenderedText pre .ansi-blue-fg { + color: #208ffb; +} + +.jp-RenderedText pre .ansi-magenta-fg { + color: #d160c4; +} + +.jp-RenderedText pre .ansi-cyan-fg { + color: #60c6c8; +} + +.jp-RenderedText pre .ansi-white-fg { + color: #c5c1b4; +} + +.jp-RenderedText pre .ansi-black-bg { + background-color: #3e424d; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-red-bg { + background-color: #e75c58; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-green-bg { + background-color: #00a250; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-yellow-bg { + background-color: #ddb62b; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-blue-bg { + background-color: #208ffb; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-magenta-bg { + background-color: #d160c4; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-cyan-bg { + background-color: #60c6c8; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-white-bg { + background-color: #c5c1b4; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-black-intense-fg { + color: #282c36; +} + +.jp-RenderedText pre .ansi-red-intense-fg { + color: #b22b31; +} + +.jp-RenderedText pre .ansi-green-intense-fg { + color: #007427; +} + +.jp-RenderedText pre .ansi-yellow-intense-fg { + color: #b27d12; +} + +.jp-RenderedText pre .ansi-blue-intense-fg { + color: #0065ca; +} + +.jp-RenderedText pre .ansi-magenta-intense-fg { + color: #a03196; +} + +.jp-RenderedText pre .ansi-cyan-intense-fg { + color: #258f8f; +} + +.jp-RenderedText pre .ansi-white-intense-fg { + color: #a1a6b2; +} + +.jp-RenderedText pre .ansi-black-intense-bg { + background-color: #282c36; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-red-intense-bg { + background-color: #b22b31; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-green-intense-bg { + background-color: #007427; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-yellow-intense-bg { + background-color: #b27d12; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-blue-intense-bg { + background-color: #0065ca; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-magenta-intense-bg { + background-color: #a03196; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-cyan-intense-bg { + background-color: #258f8f; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-white-intense-bg { + background-color: #a1a6b2; + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-default-inverse-fg { + color: var(--jp-ui-inverse-font-color0); +} + +.jp-RenderedText pre .ansi-default-inverse-bg { + background-color: var(--jp-inverse-layout-color0); + padding: var(--jp-private-code-span-padding) 0; +} + +.jp-RenderedText pre .ansi-bold { + font-weight: bold; +} + +.jp-RenderedText pre .ansi-underline { + text-decoration: underline; +} + +.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] { + background: var(--jp-rendermime-error-background); + padding-top: var(--jp-code-padding); +} + +/*----------------------------------------------------------------------------- +| RenderedLatex +|----------------------------------------------------------------------------*/ + +.jp-RenderedLatex { + color: var(--jp-content-font-color1); + font-size: var(--jp-content-font-size1); + line-height: var(--jp-content-line-height); +} + +/* Left-justify outputs.*/ +.jp-OutputArea-output.jp-RenderedLatex { + padding: var(--jp-code-padding); + text-align: left; +} + +/*----------------------------------------------------------------------------- +| RenderedHTML +|----------------------------------------------------------------------------*/ + +.jp-RenderedHTMLCommon { + color: var(--jp-content-font-color1); + font-family: var(--jp-content-font-family); + font-size: var(--jp-content-font-size1); + line-height: var(--jp-content-line-height); + + /* Give a bit more R padding on Markdown text to keep line lengths reasonable */ + padding-right: 20px; +} + +.jp-RenderedHTMLCommon em { + font-style: italic; +} + +.jp-RenderedHTMLCommon strong { + font-weight: bold; +} + +.jp-RenderedHTMLCommon u { + text-decoration: underline; +} + +.jp-RenderedHTMLCommon a:link { + text-decoration: none; + color: var(--jp-content-link-color); +} + +.jp-RenderedHTMLCommon a:hover { + text-decoration: underline; + color: var(--jp-content-link-color); +} + +.jp-RenderedHTMLCommon a:visited { + text-decoration: none; + color: var(--jp-content-link-color); +} + +/* Headings */ + +.jp-RenderedHTMLCommon h1, +.jp-RenderedHTMLCommon h2, +.jp-RenderedHTMLCommon h3, +.jp-RenderedHTMLCommon h4, +.jp-RenderedHTMLCommon h5, +.jp-RenderedHTMLCommon h6 { + line-height: var(--jp-content-heading-line-height); + font-weight: var(--jp-content-heading-font-weight); + font-style: normal; + margin: var(--jp-content-heading-margin-top) 0 + var(--jp-content-heading-margin-bottom) 0; +} + +.jp-RenderedHTMLCommon h1:first-child, +.jp-RenderedHTMLCommon h2:first-child, +.jp-RenderedHTMLCommon h3:first-child, +.jp-RenderedHTMLCommon h4:first-child, +.jp-RenderedHTMLCommon h5:first-child, +.jp-RenderedHTMLCommon h6:first-child { + margin-top: calc(0.5 * var(--jp-content-heading-margin-top)); +} + +.jp-RenderedHTMLCommon h1:last-child, +.jp-RenderedHTMLCommon h2:last-child, +.jp-RenderedHTMLCommon h3:last-child, +.jp-RenderedHTMLCommon h4:last-child, +.jp-RenderedHTMLCommon h5:last-child, +.jp-RenderedHTMLCommon h6:last-child { + margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom)); +} + +.jp-RenderedHTMLCommon h1 { + font-size: var(--jp-content-font-size5); +} + +.jp-RenderedHTMLCommon h2 { + font-size: var(--jp-content-font-size4); +} + +.jp-RenderedHTMLCommon h3 { + font-size: var(--jp-content-font-size3); +} + +.jp-RenderedHTMLCommon h4 { + font-size: var(--jp-content-font-size2); +} + +.jp-RenderedHTMLCommon h5 { + font-size: var(--jp-content-font-size1); +} + +.jp-RenderedHTMLCommon h6 { + font-size: var(--jp-content-font-size0); +} + +/* Lists */ + +/* stylelint-disable selector-max-type, selector-max-compound-selectors */ + +.jp-RenderedHTMLCommon ul:not(.list-inline), +.jp-RenderedHTMLCommon ol:not(.list-inline) { + padding-left: 2em; +} + +.jp-RenderedHTMLCommon ul { + list-style: disc; +} + +.jp-RenderedHTMLCommon ul ul { + list-style: square; +} + +.jp-RenderedHTMLCommon ul ul ul { + list-style: circle; +} + +.jp-RenderedHTMLCommon ol { + list-style: decimal; +} + +.jp-RenderedHTMLCommon ol ol { + list-style: upper-alpha; +} + +.jp-RenderedHTMLCommon ol ol ol { + list-style: lower-alpha; +} + +.jp-RenderedHTMLCommon ol ol ol ol { + list-style: lower-roman; +} + +.jp-RenderedHTMLCommon ol ol ol ol ol { + list-style: decimal; +} + +.jp-RenderedHTMLCommon ol, +.jp-RenderedHTMLCommon ul { + margin-bottom: 1em; +} + +.jp-RenderedHTMLCommon ul ul, +.jp-RenderedHTMLCommon ul ol, +.jp-RenderedHTMLCommon ol ul, +.jp-RenderedHTMLCommon ol ol { + margin-bottom: 0; +} + +/* stylelint-enable selector-max-type, selector-max-compound-selectors */ + +.jp-RenderedHTMLCommon hr { + color: var(--jp-border-color2); + background-color: var(--jp-border-color1); + margin-top: 1em; + margin-bottom: 1em; +} + +.jp-RenderedHTMLCommon > pre { + margin: 1.5em 2em; +} + +.jp-RenderedHTMLCommon pre, +.jp-RenderedHTMLCommon code { + border: 0; + background-color: var(--jp-layout-color0); + color: var(--jp-content-font-color1); + font-family: var(--jp-code-font-family); + font-size: inherit; + line-height: var(--jp-code-line-height); + padding: 0; + white-space: pre-wrap; +} + +.jp-RenderedHTMLCommon :not(pre) > code { + background-color: var(--jp-layout-color2); + padding: 1px 5px; +} + +/* Tables */ + +.jp-RenderedHTMLCommon table { + border-collapse: collapse; + border-spacing: 0; + border: none; + color: var(--jp-ui-font-color1); + font-size: var(--jp-ui-font-size1); + table-layout: fixed; + margin-left: auto; + margin-bottom: 1em; + margin-right: auto; +} + +.jp-RenderedHTMLCommon thead { + border-bottom: var(--jp-border-width) solid var(--jp-border-color1); + vertical-align: bottom; +} + +.jp-RenderedHTMLCommon td, +.jp-RenderedHTMLCommon th, +.jp-RenderedHTMLCommon tr { + vertical-align: middle; + padding: 0.5em; + line-height: normal; + white-space: normal; + max-width: none; + border: none; +} + +.jp-RenderedMarkdown.jp-RenderedHTMLCommon td, +.jp-RenderedMarkdown.jp-RenderedHTMLCommon th { + max-width: none; +} + +:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td, +:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th, +:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr { + text-align: right; +} + +.jp-RenderedHTMLCommon th { + font-weight: bold; +} + +.jp-RenderedHTMLCommon tbody tr:nth-child(odd) { + background: var(--jp-layout-color0); +} + +.jp-RenderedHTMLCommon tbody tr:nth-child(even) { + background: var(--jp-rendermime-table-row-background); +} + +.jp-RenderedHTMLCommon tbody tr:hover { + background: var(--jp-rendermime-table-row-hover-background); +} + +.jp-RenderedHTMLCommon p { + text-align: left; + margin: 0; + margin-bottom: 1em; +} + +.jp-RenderedHTMLCommon img { + -moz-force-broken-image-icon: 1; +} + +/* Restrict to direct children as other images could be nested in other content. */ +.jp-RenderedHTMLCommon > img { + display: block; + margin-left: 0; + margin-right: 0; + margin-bottom: 1em; +} + +/* Change color behind transparent images if they need it... */ +[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background { + background-color: var(--jp-inverse-layout-color1); +} + +[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background { + background-color: var(--jp-inverse-layout-color1); +} + +.jp-RenderedHTMLCommon img, +.jp-RenderedImage img, +.jp-RenderedHTMLCommon svg, +.jp-RenderedSVG svg { + max-width: 100%; + height: auto; +} + +.jp-RenderedHTMLCommon img.jp-mod-unconfined, +.jp-RenderedImage img.jp-mod-unconfined, +.jp-RenderedHTMLCommon svg.jp-mod-unconfined, +.jp-RenderedSVG svg.jp-mod-unconfined { + max-width: none; +} + +.jp-RenderedHTMLCommon .alert { + padding: var(--jp-notebook-padding); + border: var(--jp-border-width) solid transparent; + border-radius: var(--jp-border-radius); + margin-bottom: 1em; +} + +.jp-RenderedHTMLCommon .alert-info { + color: var(--jp-info-color0); + background-color: var(--jp-info-color3); + border-color: var(--jp-info-color2); +} + +.jp-RenderedHTMLCommon .alert-info hr { + border-color: var(--jp-info-color3); +} + +.jp-RenderedHTMLCommon .alert-info > p:last-child, +.jp-RenderedHTMLCommon .alert-info > ul:last-child { + margin-bottom: 0; +} + +.jp-RenderedHTMLCommon .alert-warning { + color: var(--jp-warn-color0); + background-color: var(--jp-warn-color3); + border-color: var(--jp-warn-color2); +} + +.jp-RenderedHTMLCommon .alert-warning hr { + border-color: var(--jp-warn-color3); +} + +.jp-RenderedHTMLCommon .alert-warning > p:last-child, +.jp-RenderedHTMLCommon .alert-warning > ul:last-child { + margin-bottom: 0; +} + +.jp-RenderedHTMLCommon .alert-success { + color: var(--jp-success-color0); + background-color: var(--jp-success-color3); + border-color: var(--jp-success-color2); +} + +.jp-RenderedHTMLCommon .alert-success hr { + border-color: var(--jp-success-color3); +} + +.jp-RenderedHTMLCommon .alert-success > p:last-child, +.jp-RenderedHTMLCommon .alert-success > ul:last-child { + margin-bottom: 0; +} + +.jp-RenderedHTMLCommon .alert-danger { + color: var(--jp-error-color0); + background-color: var(--jp-error-color3); + border-color: var(--jp-error-color2); +} + +.jp-RenderedHTMLCommon .alert-danger hr { + border-color: var(--jp-error-color3); +} + +.jp-RenderedHTMLCommon .alert-danger > p:last-child, +.jp-RenderedHTMLCommon .alert-danger > ul:last-child { + margin-bottom: 0; +} + +.jp-RenderedHTMLCommon blockquote { + margin: 1em 2em; + padding: 0 1em; + border-left: 5px solid var(--jp-border-color2); +} + +a.jp-InternalAnchorLink { + visibility: hidden; + margin-left: 8px; + color: var(--md-blue-800); +} + +h1:hover .jp-InternalAnchorLink, +h2:hover .jp-InternalAnchorLink, +h3:hover .jp-InternalAnchorLink, +h4:hover .jp-InternalAnchorLink, +h5:hover .jp-InternalAnchorLink, +h6:hover .jp-InternalAnchorLink { + visibility: visible; +} + +.jp-RenderedHTMLCommon kbd { + background-color: var(--jp-rendermime-table-row-background); + border: 1px solid var(--jp-border-color0); + border-bottom-color: var(--jp-border-color2); + border-radius: 3px; + box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25); + display: inline-block; + font-size: var(--jp-ui-font-size0); + line-height: 1em; + padding: 0.2em 0.5em; +} + +/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0. + * At the bottom of cells this is a bit too much as there is also spacing + * between cells. Going all the way to 0 gets too tight between markdown and + * code cells. + */ +.jp-RenderedHTMLCommon > *:last-child { + margin-bottom: 0.5em; +} + +/* + * Copyright (c) Jupyter Development Team. + * Distributed under the terms of the Modified BSD License. + */ + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Copyright (c) 2014-2017, PhosphorJS Contributors +| +| Distributed under the terms of the BSD 3-Clause License. +| +| The full license is in the file LICENSE, distributed with this software. +|----------------------------------------------------------------------------*/ + +.lm-cursor-backdrop { + position: fixed; + width: 200px; + height: 200px; + margin-top: -100px; + margin-left: -100px; + will-change: transform; + z-index: 100; +} + +.lm-mod-drag-image { + will-change: transform; +} + +/* + * Copyright (c) Jupyter Development Team. + * Distributed under the terms of the Modified BSD License. + */ + +.jp-lineFormSearch { + padding: 4px 12px; + background-color: var(--jp-layout-color2); + box-shadow: var(--jp-toolbar-box-shadow); + z-index: 2; + font-size: var(--jp-ui-font-size1); +} + +.jp-lineFormCaption { + font-size: var(--jp-ui-font-size0); + line-height: var(--jp-ui-font-size1); + margin-top: 4px; + color: var(--jp-ui-font-color0); +} + +.jp-baseLineForm { + border: none; + border-radius: 0; + position: absolute; + background-size: 16px; + background-repeat: no-repeat; + background-position: center; + outline: none; +} + +.jp-lineFormButtonContainer { + top: 4px; + right: 8px; + height: 24px; + padding: 0 12px; + width: 12px; +} + +.jp-lineFormButtonIcon { + top: 0; + right: 0; + background-color: var(--jp-brand-color1); + height: 100%; + width: 100%; + box-sizing: border-box; + padding: 4px 6px; +} + +.jp-lineFormButton { + top: 0; + right: 0; + background-color: transparent; + height: 100%; + width: 100%; + box-sizing: border-box; +} + +.jp-lineFormWrapper { + overflow: hidden; + padding: 0 8px; + border: 1px solid var(--jp-border-color0); + background-color: var(--jp-input-active-background); + height: 22px; +} + +.jp-lineFormWrapperFocusWithin { + border: var(--jp-border-width) solid var(--md-blue-500); + box-shadow: inset 0 0 4px var(--md-blue-300); +} + +.jp-lineFormInput { + background: transparent; + width: 200px; + height: 100%; + border: none; + outline: none; + color: var(--jp-ui-font-color0); + line-height: 28px; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) 2014-2016, Jupyter Development Team. +| +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-JSONEditor { + display: flex; + flex-direction: column; + width: 100%; +} + +.jp-JSONEditor-host { + flex: 1 1 auto; + border: var(--jp-border-width) solid var(--jp-input-border-color); + border-radius: 0; + background: var(--jp-layout-color0); + min-height: 50px; + padding: 1px; +} + +.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host { + border-color: red; + outline-color: red; +} + +.jp-JSONEditor-header { + display: flex; + flex: 1 0 auto; + padding: 0 0 0 12px; +} + +.jp-JSONEditor-header label { + flex: 0 0 auto; +} + +.jp-JSONEditor-commitButton { + height: 16px; + width: 16px; + background-size: 18px; + background-repeat: no-repeat; + background-position: center; +} + +.jp-JSONEditor-host.jp-mod-focused { + background-color: var(--jp-input-active-background); + border: 1px solid var(--jp-input-active-border-color); + box-shadow: var(--jp-input-box-shadow); +} + +.jp-Editor.jp-mod-dropTarget { + border: var(--jp-border-width) solid var(--jp-input-active-border-color); + box-shadow: var(--jp-input-box-shadow); +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ +.jp-DocumentSearch-input { + border: none; + outline: none; + color: var(--jp-ui-font-color0); + font-size: var(--jp-ui-font-size1); + background-color: var(--jp-layout-color0); + font-family: var(--jp-ui-font-family); + padding: 2px 1px; + resize: none; +} + +.jp-DocumentSearch-overlay { + position: absolute; + background-color: var(--jp-toolbar-background); + border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color); + border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color); + top: 0; + right: 0; + z-index: 7; + min-width: 405px; + padding: 2px; + font-size: var(--jp-ui-font-size1); + + --jp-private-document-search-button-height: 20px; +} + +.jp-DocumentSearch-overlay button { + background-color: var(--jp-toolbar-background); + outline: 0; +} + +.jp-DocumentSearch-overlay button:hover { + background-color: var(--jp-layout-color2); +} + +.jp-DocumentSearch-overlay button:active { + background-color: var(--jp-layout-color3); +} + +.jp-DocumentSearch-overlay-row { + display: flex; + align-items: center; + margin-bottom: 2px; +} + +.jp-DocumentSearch-button-content { + display: inline-block; + cursor: pointer; + box-sizing: border-box; + width: 100%; + height: 100%; +} + +.jp-DocumentSearch-button-content svg { + width: 100%; + height: 100%; +} + +.jp-DocumentSearch-input-wrapper { + border: var(--jp-border-width) solid var(--jp-border-color0); + display: flex; + background-color: var(--jp-layout-color0); + margin: 2px; +} + +.jp-DocumentSearch-input-wrapper:focus-within { + border-color: var(--jp-cell-editor-active-border-color); +} + +.jp-DocumentSearch-toggle-wrapper, +.jp-DocumentSearch-button-wrapper { + all: initial; + overflow: hidden; + display: inline-block; + border: none; + box-sizing: border-box; +} + +.jp-DocumentSearch-toggle-wrapper { + width: 14px; + height: 14px; +} + +.jp-DocumentSearch-button-wrapper { + width: var(--jp-private-document-search-button-height); + height: var(--jp-private-document-search-button-height); +} + +.jp-DocumentSearch-toggle-wrapper:focus, +.jp-DocumentSearch-button-wrapper:focus { + outline: var(--jp-border-width) solid + var(--jp-cell-editor-active-border-color); + outline-offset: -1px; +} + +.jp-DocumentSearch-toggle-wrapper, +.jp-DocumentSearch-button-wrapper, +.jp-DocumentSearch-button-content:focus { + outline: none; +} + +.jp-DocumentSearch-toggle-placeholder { + width: 5px; +} + +.jp-DocumentSearch-input-button::before { + display: block; + padding-top: 100%; +} + +.jp-DocumentSearch-input-button-off { + opacity: var(--jp-search-toggle-off-opacity); +} + +.jp-DocumentSearch-input-button-off:hover { + opacity: var(--jp-search-toggle-hover-opacity); +} + +.jp-DocumentSearch-input-button-on { + opacity: var(--jp-search-toggle-on-opacity); +} + +.jp-DocumentSearch-index-counter { + padding-left: 10px; + padding-right: 10px; + user-select: none; + min-width: 35px; + display: inline-block; +} + +.jp-DocumentSearch-up-down-wrapper { + display: inline-block; + padding-right: 2px; + margin-left: auto; + white-space: nowrap; +} + +.jp-DocumentSearch-spacer { + margin-left: auto; +} + +.jp-DocumentSearch-up-down-wrapper button { + outline: 0; + border: none; + width: var(--jp-private-document-search-button-height); + height: var(--jp-private-document-search-button-height); + vertical-align: middle; + margin: 1px 5px 2px; +} + +.jp-DocumentSearch-up-down-button:hover { + background-color: var(--jp-layout-color2); +} + +.jp-DocumentSearch-up-down-button:active { + background-color: var(--jp-layout-color3); +} + +.jp-DocumentSearch-filter-button { + border-radius: var(--jp-border-radius); +} + +.jp-DocumentSearch-filter-button:hover { + background-color: var(--jp-layout-color2); +} + +.jp-DocumentSearch-filter-button-enabled { + background-color: var(--jp-layout-color2); +} + +.jp-DocumentSearch-filter-button-enabled:hover { + background-color: var(--jp-layout-color3); +} + +.jp-DocumentSearch-search-options { + padding: 0 8px; + margin-left: 3px; + width: 100%; + display: grid; + justify-content: start; + grid-template-columns: 1fr 1fr; + align-items: center; + justify-items: stretch; +} + +.jp-DocumentSearch-search-filter-disabled { + color: var(--jp-ui-font-color2); +} + +.jp-DocumentSearch-search-filter { + display: flex; + align-items: center; + user-select: none; +} + +.jp-DocumentSearch-regex-error { + color: var(--jp-error-color0); +} + +.jp-DocumentSearch-replace-button-wrapper { + overflow: hidden; + display: inline-block; + box-sizing: border-box; + border: var(--jp-border-width) solid var(--jp-border-color0); + margin: auto 2px; + padding: 1px 4px; + height: calc(var(--jp-private-document-search-button-height) + 2px); +} + +.jp-DocumentSearch-replace-button-wrapper:focus { + border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color); +} + +.jp-DocumentSearch-replace-button { + display: inline-block; + text-align: center; + cursor: pointer; + box-sizing: border-box; + color: var(--jp-ui-font-color1); + + /* height - 2 * (padding of wrapper) */ + line-height: calc(var(--jp-private-document-search-button-height) - 2px); + width: 100%; + height: 100%; +} + +.jp-DocumentSearch-replace-button:focus { + outline: none; +} + +.jp-DocumentSearch-replace-wrapper-class { + margin-left: 14px; + display: flex; +} + +.jp-DocumentSearch-replace-toggle { + border: none; + background-color: var(--jp-toolbar-background); + border-radius: var(--jp-border-radius); +} + +.jp-DocumentSearch-replace-toggle:hover { + background-color: var(--jp-layout-color2); +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.cm-editor { + line-height: var(--jp-code-line-height); + font-size: var(--jp-code-font-size); + font-family: var(--jp-code-font-family); + border: 0; + border-radius: 0; + height: auto; + + /* Changed to auto to autogrow */ +} + +.cm-editor pre { + padding: 0 var(--jp-code-padding); +} + +.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog { + background-color: var(--jp-layout-color0); + color: var(--jp-content-font-color1); +} + +.jp-CodeMirrorEditor { + cursor: text; +} + +/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */ +@media screen and (min-width: 2138px) and (max-width: 4319px) { + .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor { + border-left: var(--jp-code-cursor-width1) solid + var(--jp-editor-cursor-color); + } +} + +/* When zoomed out less than 33% */ +@media screen and (min-width: 4320px) { + .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor { + border-left: var(--jp-code-cursor-width2) solid + var(--jp-editor-cursor-color); + } +} + +.cm-editor.jp-mod-readOnly .cm-cursor { + display: none; +} + +.jp-CollaboratorCursor { + border-left: 5px solid transparent; + border-right: 5px solid transparent; + border-top: none; + border-bottom: 3px solid; + background-clip: content-box; + margin-left: -5px; + margin-right: -5px; +} + +.cm-searching, +.cm-searching span { + /* `.cm-searching span`: we need to override syntax highlighting */ + background-color: var(--jp-search-unselected-match-background-color); + color: var(--jp-search-unselected-match-color); +} + +.cm-searching::selection, +.cm-searching span::selection { + background-color: var(--jp-search-unselected-match-background-color); + color: var(--jp-search-unselected-match-color); +} + +.jp-current-match > .cm-searching, +.jp-current-match > .cm-searching span, +.cm-searching > .jp-current-match, +.cm-searching > .jp-current-match span { + background-color: var(--jp-search-selected-match-background-color); + color: var(--jp-search-selected-match-color); +} + +.jp-current-match > .cm-searching::selection, +.cm-searching > .jp-current-match::selection, +.jp-current-match > .cm-searching span::selection { + background-color: var(--jp-search-selected-match-background-color); + color: var(--jp-search-selected-match-color); +} + +.cm-trailingspace { + background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=); + background-position: center left; + background-repeat: repeat-x; +} + +.jp-CollaboratorCursor-hover { + position: absolute; + z-index: 1; + transform: translateX(-50%); + color: white; + border-radius: 3px; + padding-left: 4px; + padding-right: 4px; + padding-top: 1px; + padding-bottom: 1px; + text-align: center; + font-size: var(--jp-ui-font-size1); + white-space: nowrap; +} + +.jp-CodeMirror-ruler { + border-left: 1px dashed var(--jp-border-color2); +} + +/* Styles for shared cursors (remote cursor locations and selected ranges) */ +.jp-CodeMirrorEditor .cm-ySelectionCaret { + position: relative; + border-left: 1px solid black; + margin-left: -1px; + margin-right: -1px; + box-sizing: border-box; +} + +.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo { + white-space: nowrap; + position: absolute; + top: -1.15em; + padding-bottom: 0.05em; + left: -1px; + font-size: 0.95em; + font-family: var(--jp-ui-font-family); + font-weight: bold; + line-height: normal; + user-select: none; + color: white; + padding-left: 2px; + padding-right: 2px; + z-index: 101; + transition: opacity 0.3s ease-in-out; +} + +.jp-CodeMirrorEditor .cm-ySelectionInfo { + transition-delay: 0.7s; + opacity: 0; +} + +.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo { + opacity: 1; + transition-delay: 0s; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-MimeDocument { + outline: none; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Variables +|----------------------------------------------------------------------------*/ + +:root { + --jp-private-filebrowser-button-height: 28px; + --jp-private-filebrowser-button-width: 48px; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-FileBrowser .jp-SidePanel-content { + display: flex; + flex-direction: column; +} + +.jp-FileBrowser-toolbar.jp-Toolbar { + flex-wrap: wrap; + row-gap: 12px; + border-bottom: none; + height: auto; + margin: 8px 12px 0; + box-shadow: none; + padding: 0; + justify-content: flex-start; +} + +.jp-FileBrowser-Panel { + flex: 1 1 auto; + display: flex; + flex-direction: column; +} + +.jp-BreadCrumbs { + flex: 0 0 auto; + margin: 8px 12px; +} + +.jp-BreadCrumbs-item { + margin: 0 2px; + padding: 0 2px; + border-radius: var(--jp-border-radius); + cursor: pointer; +} + +.jp-BreadCrumbs-item:hover { + background-color: var(--jp-layout-color2); +} + +.jp-BreadCrumbs-item:first-child { + margin-left: 0; +} + +.jp-BreadCrumbs-item.jp-mod-dropTarget { + background-color: var(--jp-brand-color2); + opacity: 0.7; +} + +/*----------------------------------------------------------------------------- +| Buttons +|----------------------------------------------------------------------------*/ + +.jp-FileBrowser-toolbar > .jp-Toolbar-item { + flex: 0 0 auto; + padding-left: 0; + padding-right: 2px; + align-items: center; + height: unset; +} + +.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent { + width: 40px; +} + +/*----------------------------------------------------------------------------- +| Other styles +|----------------------------------------------------------------------------*/ + +.jp-FileDialog.jp-mod-conflict input { + color: var(--jp-error-color1); +} + +.jp-FileDialog .jp-new-name-title { + margin-top: 12px; +} + +.jp-LastModified-hidden { + display: none; +} + +.jp-FileSize-hidden { + display: none; +} + +.jp-FileBrowser .lm-AccordionPanel > h3:first-child { + display: none; +} + +/*----------------------------------------------------------------------------- +| DirListing +|----------------------------------------------------------------------------*/ + +.jp-DirListing { + flex: 1 1 auto; + display: flex; + flex-direction: column; + outline: 0; +} + +.jp-DirListing-header { + flex: 0 0 auto; + display: flex; + flex-direction: row; + align-items: center; + overflow: hidden; + border-top: var(--jp-border-width) solid var(--jp-border-color2); + border-bottom: var(--jp-border-width) solid var(--jp-border-color1); + box-shadow: var(--jp-toolbar-box-shadow); + z-index: 2; +} + +.jp-DirListing-headerItem { + padding: 4px 12px 2px; + font-weight: 500; +} + +.jp-DirListing-headerItem:hover { + background: var(--jp-layout-color2); +} + +.jp-DirListing-headerItem.jp-id-name { + flex: 1 0 84px; +} + +.jp-DirListing-headerItem.jp-id-modified { + flex: 0 0 112px; + border-left: var(--jp-border-width) solid var(--jp-border-color2); + text-align: right; +} + +.jp-DirListing-headerItem.jp-id-filesize { + flex: 0 0 75px; + border-left: var(--jp-border-width) solid var(--jp-border-color2); + text-align: right; +} + +.jp-id-narrow { + display: none; + flex: 0 0 5px; + padding: 4px; + border-left: var(--jp-border-width) solid var(--jp-border-color2); + text-align: right; + color: var(--jp-border-color2); +} + +.jp-DirListing-narrow .jp-id-narrow { + display: block; +} + +.jp-DirListing-narrow .jp-id-modified, +.jp-DirListing-narrow .jp-DirListing-itemModified { + display: none; +} + +.jp-DirListing-headerItem.jp-mod-selected { + font-weight: 600; +} + +/* increase specificity to override bundled default */ +.jp-DirListing-content { + flex: 1 1 auto; + margin: 0; + padding: 0; + list-style-type: none; + overflow: auto; + background-color: var(--jp-layout-color1); +} + +.jp-DirListing-content mark { + color: var(--jp-ui-font-color0); + background-color: transparent; + font-weight: bold; +} + +.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark { + color: var(--jp-ui-inverse-font-color0); +} + +/* Style the directory listing content when a user drops a file to upload */ +.jp-DirListing.jp-mod-native-drop .jp-DirListing-content { + outline: 5px dashed rgba(128, 128, 128, 0.5); + outline-offset: -10px; + cursor: copy; +} + +.jp-DirListing-item { + display: flex; + flex-direction: row; + align-items: center; + padding: 4px 12px; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} + +.jp-DirListing-checkboxWrapper { + /* Increases hit area of checkbox. */ + padding: 4px; +} + +.jp-DirListing-header + .jp-DirListing-checkboxWrapper + + .jp-DirListing-headerItem { + padding-left: 4px; +} + +.jp-DirListing-content .jp-DirListing-checkboxWrapper { + position: relative; + left: -4px; + margin: -4px 0 -4px -8px; +} + +.jp-DirListing-checkboxWrapper.jp-mod-visible { + visibility: visible; +} + +/* For devices that support hovering, hide checkboxes until hovered, selected... +*/ +@media (hover: hover) { + .jp-DirListing-checkboxWrapper { + visibility: hidden; + } + + .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper, + .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper { + visibility: visible; + } +} + +.jp-DirListing-item[data-is-dot] { + opacity: 75%; +} + +.jp-DirListing-item.jp-mod-selected { + color: var(--jp-ui-inverse-font-color1); + background: var(--jp-brand-color1); +} + +.jp-DirListing-item.jp-mod-dropTarget { + background: var(--jp-brand-color3); +} + +.jp-DirListing-item:hover:not(.jp-mod-selected) { + background: var(--jp-layout-color2); +} + +.jp-DirListing-itemIcon { + flex: 0 0 20px; + margin-right: 4px; +} + +.jp-DirListing-itemText { + flex: 1 0 64px; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; + user-select: none; +} + +.jp-DirListing-itemText:focus { + outline-width: 2px; + outline-color: var(--jp-inverse-layout-color1); + outline-style: solid; + outline-offset: 1px; +} + +.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus { + outline-color: var(--jp-layout-color1); +} + +.jp-DirListing-itemModified { + flex: 0 0 125px; + text-align: right; +} + +.jp-DirListing-itemFileSize { + flex: 0 0 90px; + text-align: right; +} + +.jp-DirListing-editor { + flex: 1 0 64px; + outline: none; + border: none; + color: var(--jp-ui-font-color1); + background-color: var(--jp-layout-color1); +} + +.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before { + color: var(--jp-success-color1); + content: '\25CF'; + font-size: 8px; + position: absolute; + left: -8px; +} + +.jp-DirListing-item.jp-mod-running.jp-mod-selected + .jp-DirListing-itemIcon::before { + color: var(--jp-ui-inverse-font-color1); +} + +.jp-DirListing-item.lm-mod-drag-image, +.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image { + font-size: var(--jp-ui-font-size1); + padding-left: 4px; + margin-left: 4px; + width: 160px; + background-color: var(--jp-ui-inverse-font-color2); + box-shadow: var(--jp-elevation-z2); + border-radius: 0; + color: var(--jp-ui-font-color1); + transform: translateX(-40%) translateY(-58%); +} + +.jp-Document { + min-width: 120px; + min-height: 120px; + outline: none; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Main OutputArea +| OutputArea has a list of Outputs +|----------------------------------------------------------------------------*/ + +.jp-OutputArea { + overflow-y: auto; +} + +.jp-OutputArea-child { + display: table; + table-layout: fixed; + width: 100%; + overflow: hidden; +} + +.jp-OutputPrompt { + width: var(--jp-cell-prompt-width); + color: var(--jp-cell-outprompt-font-color); + font-family: var(--jp-cell-prompt-font-family); + padding: var(--jp-code-padding); + letter-spacing: var(--jp-cell-prompt-letter-spacing); + line-height: var(--jp-code-line-height); + font-size: var(--jp-code-font-size); + border: var(--jp-border-width) solid transparent; + opacity: var(--jp-cell-prompt-opacity); + + /* Right align prompt text, don't wrap to handle large prompt numbers */ + text-align: right; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; + + /* Disable text selection */ + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} + +.jp-OutputArea-prompt { + display: table-cell; + vertical-align: top; +} + +.jp-OutputArea-output { + display: table-cell; + width: 100%; + height: auto; + overflow: auto; + user-select: text; + -moz-user-select: text; + -webkit-user-select: text; + -ms-user-select: text; +} + +.jp-OutputArea .jp-RenderedText { + padding-left: 1ch; +} + +/** + * Prompt overlay. + */ + +.jp-OutputArea-promptOverlay { + position: absolute; + top: 0; + width: var(--jp-cell-prompt-width); + height: 100%; + opacity: 0.5; +} + +.jp-OutputArea-promptOverlay:hover { + background: var(--jp-layout-color2); + box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0); + cursor: zoom-out; +} + +.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover { + cursor: zoom-in; +} + +/** + * Isolated output. + */ +.jp-OutputArea-output.jp-mod-isolated { + width: 100%; + display: block; +} + +/* +When drag events occur, `lm-mod-override-cursor` is added to the body. +Because iframes steal all cursor events, the following two rules are necessary +to suppress pointer events while resize drags are occurring. There may be a +better solution to this problem. +*/ +body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated { + position: relative; +} + +body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before { + content: ''; + position: absolute; + top: 0; + left: 0; + right: 0; + bottom: 0; + background: transparent; +} + +/* pre */ + +.jp-OutputArea-output pre { + border: none; + margin: 0; + padding: 0; + overflow-x: auto; + overflow-y: auto; + word-break: break-all; + word-wrap: break-word; + white-space: pre-wrap; +} + +/* tables */ + +.jp-OutputArea-output.jp-RenderedHTMLCommon table { + margin-left: 0; + margin-right: 0; +} + +/* description lists */ + +.jp-OutputArea-output dl, +.jp-OutputArea-output dt, +.jp-OutputArea-output dd { + display: block; +} + +.jp-OutputArea-output dl { + width: 100%; + overflow: hidden; + padding: 0; + margin: 0; +} + +.jp-OutputArea-output dt { + font-weight: bold; + float: left; + width: 20%; + padding: 0; + margin: 0; +} + +.jp-OutputArea-output dd { + float: left; + width: 80%; + padding: 0; + margin: 0; +} + +.jp-TrimmedOutputs pre { + background: var(--jp-layout-color3); + font-size: calc(var(--jp-code-font-size) * 1.4); + text-align: center; + text-transform: uppercase; +} + +/* Hide the gutter in case of + * - nested output areas (e.g. in the case of output widgets) + * - mirrored output areas + */ +.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt { + display: none; +} + +/* Hide empty lines in the output area, for instance due to cleared widgets */ +.jp-OutputArea-prompt:empty { + padding: 0; + border: 0; +} + +/*----------------------------------------------------------------------------- +| executeResult is added to any Output-result for the display of the object +| returned by a cell +|----------------------------------------------------------------------------*/ + +.jp-OutputArea-output.jp-OutputArea-executeResult { + margin-left: 0; + width: 100%; +} + +/* Text output with the Out[] prompt needs a top padding to match the + * alignment of the Out[] prompt itself. + */ +.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output { + padding-top: var(--jp-code-padding); + border-top: var(--jp-border-width) solid transparent; +} + +/*----------------------------------------------------------------------------- +| The Stdin output +|----------------------------------------------------------------------------*/ + +.jp-Stdin-prompt { + color: var(--jp-content-font-color0); + padding-right: var(--jp-code-padding); + vertical-align: baseline; + flex: 0 0 auto; +} + +.jp-Stdin-input { + font-family: var(--jp-code-font-family); + font-size: inherit; + color: inherit; + background-color: inherit; + width: 42%; + min-width: 200px; + + /* make sure input baseline aligns with prompt */ + vertical-align: baseline; + + /* padding + margin = 0.5em between prompt and cursor */ + padding: 0 0.25em; + margin: 0 0.25em; + flex: 0 0 70%; +} + +.jp-Stdin-input::placeholder { + opacity: 0; +} + +.jp-Stdin-input:focus { + box-shadow: none; +} + +.jp-Stdin-input:focus::placeholder { + opacity: 1; +} + +/*----------------------------------------------------------------------------- +| Output Area View +|----------------------------------------------------------------------------*/ + +.jp-LinkedOutputView .jp-OutputArea { + height: 100%; + display: block; +} + +.jp-LinkedOutputView .jp-OutputArea-output:only-child { + height: 100%; +} + +/*----------------------------------------------------------------------------- +| Printing +|----------------------------------------------------------------------------*/ + +@media print { + .jp-OutputArea-child { + break-inside: avoid-page; + } +} + +/*----------------------------------------------------------------------------- +| Mobile +|----------------------------------------------------------------------------*/ +@media only screen and (max-width: 760px) { + .jp-OutputPrompt { + display: table-row; + text-align: left; + } + + .jp-OutputArea-child .jp-OutputArea-output { + display: table-row; + margin-left: var(--jp-notebook-padding); + } +} + +/* Trimmed outputs warning */ +.jp-TrimmedOutputs > a { + margin: 10px; + text-decoration: none; + cursor: pointer; +} + +.jp-TrimmedOutputs > a:hover { + text-decoration: none; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Table of Contents +|----------------------------------------------------------------------------*/ + +:root { + --jp-private-toc-active-width: 4px; +} + +.jp-TableOfContents { + display: flex; + flex-direction: column; + background: var(--jp-layout-color1); + color: var(--jp-ui-font-color1); + font-size: var(--jp-ui-font-size1); + height: 100%; +} + +.jp-TableOfContents-placeholder { + text-align: center; +} + +.jp-TableOfContents-placeholderContent { + color: var(--jp-content-font-color2); + padding: 8px; +} + +.jp-TableOfContents-placeholderContent > h3 { + margin-bottom: var(--jp-content-heading-margin-bottom); +} + +.jp-TableOfContents .jp-SidePanel-content { + overflow-y: auto; +} + +.jp-TableOfContents-tree { + margin: 4px; +} + +.jp-TableOfContents ol { + list-style-type: none; +} + +/* stylelint-disable-next-line selector-max-type */ +.jp-TableOfContents li > ol { + /* Align left border with triangle icon center */ + padding-left: 11px; +} + +.jp-TableOfContents-content { + /* left margin for the active heading indicator */ + margin: 0 0 0 var(--jp-private-toc-active-width); + padding: 0; + background-color: var(--jp-layout-color1); +} + +.jp-tocItem { + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} + +.jp-tocItem-heading { + display: flex; + cursor: pointer; +} + +.jp-tocItem-heading:hover { + background-color: var(--jp-layout-color2); +} + +.jp-tocItem-content { + display: block; + padding: 4px 0; + white-space: nowrap; + text-overflow: ellipsis; + overflow-x: hidden; +} + +.jp-tocItem-collapser { + height: 20px; + margin: 2px 2px 0; + padding: 0; + background: none; + border: none; + cursor: pointer; +} + +.jp-tocItem-collapser:hover { + background-color: var(--jp-layout-color3); +} + +/* Active heading indicator */ + +.jp-tocItem-heading::before { + content: ' '; + background: transparent; + width: var(--jp-private-toc-active-width); + height: 24px; + position: absolute; + left: 0; + border-radius: var(--jp-border-radius); +} + +.jp-tocItem-heading.jp-tocItem-active::before { + background-color: var(--jp-brand-color1); +} + +.jp-tocItem-heading:hover.jp-tocItem-active::before { + background: var(--jp-brand-color0); + opacity: 1; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +.jp-Collapser { + flex: 0 0 var(--jp-cell-collapser-width); + padding: 0; + margin: 0; + border: none; + outline: none; + background: transparent; + border-radius: var(--jp-border-radius); + opacity: 1; +} + +.jp-Collapser-child { + display: block; + width: 100%; + box-sizing: border-box; + + /* height: 100% doesn't work because the height of its parent is computed from content */ + position: absolute; + top: 0; + bottom: 0; +} + +/*----------------------------------------------------------------------------- +| Printing +|----------------------------------------------------------------------------*/ + +/* +Hiding collapsers in print mode. + +Note: input and output wrappers have "display: block" propery in print mode. +*/ + +@media print { + .jp-Collapser { + display: none; + } +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Header/Footer +|----------------------------------------------------------------------------*/ + +/* Hidden by zero height by default */ +.jp-CellHeader, +.jp-CellFooter { + height: 0; + width: 100%; + padding: 0; + margin: 0; + border: none; + outline: none; + background: transparent; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Input +|----------------------------------------------------------------------------*/ + +/* All input areas */ +.jp-InputArea { + display: table; + table-layout: fixed; + width: 100%; + overflow: hidden; +} + +.jp-InputArea-editor { + display: table-cell; + overflow: hidden; + vertical-align: top; + + /* This is the non-active, default styling */ + border: var(--jp-border-width) solid var(--jp-cell-editor-border-color); + border-radius: 0; + background: var(--jp-cell-editor-background); +} + +.jp-InputPrompt { + display: table-cell; + vertical-align: top; + width: var(--jp-cell-prompt-width); + color: var(--jp-cell-inprompt-font-color); + font-family: var(--jp-cell-prompt-font-family); + padding: var(--jp-code-padding); + letter-spacing: var(--jp-cell-prompt-letter-spacing); + opacity: var(--jp-cell-prompt-opacity); + line-height: var(--jp-code-line-height); + font-size: var(--jp-code-font-size); + border: var(--jp-border-width) solid transparent; + + /* Right align prompt text, don't wrap to handle large prompt numbers */ + text-align: right; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; + + /* Disable text selection */ + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} + +/*----------------------------------------------------------------------------- +| Mobile +|----------------------------------------------------------------------------*/ +@media only screen and (max-width: 760px) { + .jp-InputArea-editor { + display: table-row; + margin-left: var(--jp-notebook-padding); + } + + .jp-InputPrompt { + display: table-row; + text-align: left; + } +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Placeholder +|----------------------------------------------------------------------------*/ + +.jp-Placeholder { + display: table; + table-layout: fixed; + width: 100%; +} + +.jp-Placeholder-prompt { + display: table-cell; + box-sizing: border-box; +} + +.jp-Placeholder-content { + display: table-cell; + padding: 4px 6px; + border: 1px solid transparent; + border-radius: 0; + background: none; + box-sizing: border-box; + cursor: pointer; +} + +.jp-Placeholder-contentContainer { + display: flex; +} + +.jp-Placeholder-content:hover, +.jp-InputPlaceholder > .jp-Placeholder-content:hover { + border-color: var(--jp-layout-color3); +} + +.jp-Placeholder-content .jp-MoreHorizIcon { + width: 32px; + height: 16px; + border: 1px solid transparent; + border-radius: var(--jp-border-radius); +} + +.jp-Placeholder-content .jp-MoreHorizIcon:hover { + border: 1px solid var(--jp-border-color1); + box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25); + background-color: var(--jp-layout-color0); +} + +.jp-PlaceholderText { + white-space: nowrap; + overflow-x: hidden; + color: var(--jp-inverse-layout-color3); + font-family: var(--jp-code-font-family); +} + +.jp-InputPlaceholder > .jp-Placeholder-content { + border-color: var(--jp-cell-editor-border-color); + background: var(--jp-cell-editor-background); +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Private CSS variables +|----------------------------------------------------------------------------*/ + +:root { + --jp-private-cell-scrolling-output-offset: 5px; +} + +/*----------------------------------------------------------------------------- +| Cell +|----------------------------------------------------------------------------*/ + +.jp-Cell { + padding: var(--jp-cell-padding); + margin: 0; + border: none; + outline: none; + background: transparent; +} + +/*----------------------------------------------------------------------------- +| Common input/output +|----------------------------------------------------------------------------*/ + +.jp-Cell-inputWrapper, +.jp-Cell-outputWrapper { + display: flex; + flex-direction: row; + padding: 0; + margin: 0; + + /* Added to reveal the box-shadow on the input and output collapsers. */ + overflow: visible; +} + +/* Only input/output areas inside cells */ +.jp-Cell-inputArea, +.jp-Cell-outputArea { + flex: 1 1 auto; +} + +/*----------------------------------------------------------------------------- +| Collapser +|----------------------------------------------------------------------------*/ + +/* Make the output collapser disappear when there is not output, but do so + * in a manner that leaves it in the layout and preserves its width. + */ +.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser { + border: none !important; + background: transparent !important; +} + +.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser { + min-height: var(--jp-cell-collapser-min-height); +} + +/*----------------------------------------------------------------------------- +| Output +|----------------------------------------------------------------------------*/ + +/* Put a space between input and output when there IS output */ +.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper { + margin-top: 5px; +} + +.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea { + overflow-y: auto; + max-height: 24em; + margin-left: var(--jp-private-cell-scrolling-output-offset); + resize: vertical; +} + +.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] { + max-height: unset; +} + +.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after { + content: ' '; + box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%); + width: 100%; + height: 100%; + position: sticky; + bottom: 0; + top: 0; + margin-top: -50%; + float: left; + display: block; + pointer-events: none; +} + +.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child { + padding-top: 6px; +} + +.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt { + width: calc( + var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset) + ); +} + +.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay { + left: calc(-1 * var(--jp-private-cell-scrolling-output-offset)); +} + +/*----------------------------------------------------------------------------- +| CodeCell +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| MarkdownCell +|----------------------------------------------------------------------------*/ + +.jp-MarkdownOutput { + display: table-cell; + width: 100%; + margin-top: 0; + margin-bottom: 0; + padding-left: var(--jp-code-padding); +} + +.jp-MarkdownOutput.jp-RenderedHTMLCommon { + overflow: auto; +} + +/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */ +.jp-collapseHeadingButton { + display: flex; + min-height: var(--jp-cell-collapser-min-height); + font-size: var(--jp-code-font-size); + position: absolute; + background-color: transparent; + background-size: 25px; + background-repeat: no-repeat; + background-position-x: center; + background-position-y: top; + background-image: var(--jp-icon-caret-down); + right: 0; + top: 0; + bottom: 0; +} + +.jp-collapseHeadingButton.jp-mod-collapsed { + background-image: var(--jp-icon-caret-right); +} + +/* + set the container font size to match that of content + so that the nested collapse buttons have the right size +*/ +.jp-MarkdownCell .jp-InputPrompt { + font-size: var(--jp-content-font-size1); +} + +/* + Align collapseHeadingButton with cell top header + The font sizes are identical to the ones in packages/rendermime/style/base.css +*/ +.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] { + font-size: var(--jp-content-font-size5); + background-position-y: calc(0.3 * var(--jp-content-font-size5)); +} + +.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] { + font-size: var(--jp-content-font-size4); + background-position-y: calc(0.3 * var(--jp-content-font-size4)); +} + +.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] { + font-size: var(--jp-content-font-size3); + background-position-y: calc(0.3 * var(--jp-content-font-size3)); +} + +.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] { + font-size: var(--jp-content-font-size2); + background-position-y: calc(0.3 * var(--jp-content-font-size2)); +} + +.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] { + font-size: var(--jp-content-font-size1); + background-position-y: top; +} + +.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] { + font-size: var(--jp-content-font-size0); + background-position-y: top; +} + +/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */ +.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton { + display: none; +} + +.jp-Notebook.jp-mod-showHiddenCellsButton + :is(.jp-MarkdownCell:hover, .jp-mod-active) + .jp-collapseHeadingButton { + display: flex; +} + +/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which +is a consequence of the showHiddenCellsButton option in Notebook Settings)*/ +.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton { + margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding)); + margin-top: var(--jp-code-padding); + border: 1px solid var(--jp-border-color2); + background-color: var(--jp-border-color3) !important; + color: var(--jp-content-font-color0) !important; + display: flex; +} + +.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover { + background-color: var(--jp-border-color2) !important; +} + +.jp-showHiddenCellsButton { + display: none; +} + +/*----------------------------------------------------------------------------- +| Printing +|----------------------------------------------------------------------------*/ + +/* +Using block instead of flex to allow the use of the break-inside CSS property for +cell outputs. +*/ + +@media print { + .jp-Cell-inputWrapper, + .jp-Cell-outputWrapper { + display: block; + } +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Variables +|----------------------------------------------------------------------------*/ + +:root { + --jp-notebook-toolbar-padding: 2px 5px 2px 2px; +} + +/*----------------------------------------------------------------------------- + +/*----------------------------------------------------------------------------- +| Styles +|----------------------------------------------------------------------------*/ + +.jp-NotebookPanel-toolbar { + padding: var(--jp-notebook-toolbar-padding); + + /* disable paint containment from lumino 2.0 default strict CSS containment */ + contain: style size !important; +} + +.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused { + border: none; + box-shadow: none; +} + +.jp-Notebook-toolbarCellTypeDropdown select { + height: 24px; + font-size: var(--jp-ui-font-size1); + line-height: 14px; + border-radius: 0; + display: block; +} + +.jp-Notebook-toolbarCellTypeDropdown span { + top: 5px !important; +} + +.jp-Toolbar-responsive-popup { + position: absolute; + height: fit-content; + display: flex; + flex-direction: row; + flex-wrap: wrap; + justify-content: flex-end; + border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color); + box-shadow: var(--jp-toolbar-box-shadow); + background: var(--jp-toolbar-background); + min-height: var(--jp-toolbar-micro-height); + padding: var(--jp-notebook-toolbar-padding); + z-index: 1; + right: 0; + top: 0; +} + +.jp-Toolbar > .jp-Toolbar-responsive-opener { + margin-left: auto; +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Variables +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- + +/*----------------------------------------------------------------------------- +| Styles +|----------------------------------------------------------------------------*/ + +.jp-Notebook-ExecutionIndicator { + position: relative; + display: inline-block; + height: 100%; + z-index: 9997; +} + +.jp-Notebook-ExecutionIndicator-tooltip { + visibility: hidden; + height: auto; + width: max-content; + width: -moz-max-content; + background-color: var(--jp-layout-color2); + color: var(--jp-ui-font-color1); + text-align: justify; + border-radius: 6px; + padding: 0 5px; + position: fixed; + display: table; +} + +.jp-Notebook-ExecutionIndicator-tooltip.up { + transform: translateX(-50%) translateY(-100%) translateY(-32px); +} + +.jp-Notebook-ExecutionIndicator-tooltip.down { + transform: translateX(calc(-100% + 16px)) translateY(5px); +} + +.jp-Notebook-ExecutionIndicator-tooltip.hidden { + display: none; +} + +.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip { + visibility: visible; +} + +.jp-Notebook-ExecutionIndicator span { + font-size: var(--jp-ui-font-size1); + font-family: var(--jp-ui-font-family); + color: var(--jp-ui-font-color1); + line-height: 24px; + display: block; +} + +.jp-Notebook-ExecutionIndicator-progress-bar { + display: flex; + justify-content: center; + height: 100%; +} + +/* + * Copyright (c) Jupyter Development Team. + * Distributed under the terms of the Modified BSD License. + */ + +/* + * Execution indicator + */ +.jp-tocItem-content::after { + content: ''; + + /* Must be identical to form a circle */ + width: 12px; + height: 12px; + background: none; + border: none; + position: absolute; + right: 0; +} + +.jp-tocItem-content[data-running='0']::after { + border-radius: 50%; + border: var(--jp-border-width) solid var(--jp-inverse-layout-color3); + background: none; +} + +.jp-tocItem-content[data-running='1']::after { + border-radius: 50%; + border: var(--jp-border-width) solid var(--jp-inverse-layout-color3); + background-color: var(--jp-inverse-layout-color3); +} + +.jp-tocItem-content[data-running='0'], +.jp-tocItem-content[data-running='1'] { + margin-right: 12px; +} + +/* + * Copyright (c) Jupyter Development Team. + * Distributed under the terms of the Modified BSD License. + */ + +.jp-Notebook-footer { + height: 27px; + margin-left: calc( + var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) + + var(--jp-cell-padding) + ); + width: calc( + 100% - + ( + var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) + + var(--jp-cell-padding) + var(--jp-cell-padding) + ) + ); + border: var(--jp-border-width) solid var(--jp-cell-editor-border-color); + color: var(--jp-ui-font-color3); + margin-top: 6px; + background: none; + cursor: pointer; +} + +.jp-Notebook-footer:focus { + border-color: var(--jp-cell-editor-active-border-color); +} + +/* For devices that support hovering, hide footer until hover */ +@media (hover: hover) { + .jp-Notebook-footer { + opacity: 0; + } + + .jp-Notebook-footer:focus, + .jp-Notebook-footer:hover { + opacity: 1; + } +} + +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| Imports +|----------------------------------------------------------------------------*/ + +/*----------------------------------------------------------------------------- +| CSS variables +|----------------------------------------------------------------------------*/ + +:root { + --jp-side-by-side-output-size: 1fr; + --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size); + --jp-private-notebook-dragImage-width: 304px; + --jp-private-notebook-dragImage-height: 36px; + --jp-private-notebook-selected-color: var(--md-blue-400); + --jp-private-notebook-active-color: var(--md-green-400); +} + +/*----------------------------------------------------------------------------- +| Notebook +|----------------------------------------------------------------------------*/ + +/* stylelint-disable selector-max-class */ + +.jp-NotebookPanel { + display: block; + height: 100%; +} + +.jp-NotebookPanel.jp-Document { + min-width: 240px; + min-height: 120px; +} + +.jp-Notebook { + padding: var(--jp-notebook-padding); + outline: none; + overflow: auto; + background: var(--jp-layout-color0); +} + +.jp-Notebook.jp-mod-scrollPastEnd::after { + display: block; + content: ''; + min-height: var(--jp-notebook-scroll-padding); +} + +.jp-MainAreaWidget-ContainStrict .jp-Notebook * { + contain: strict; +} + +.jp-Notebook .jp-Cell { + overflow: visible; +} + +.jp-Notebook .jp-Cell .jp-InputPrompt { + cursor: move; +} + +/*----------------------------------------------------------------------------- +| Notebook state related styling +| +| The notebook and cells each have states, here are the possibilities: +| +| - Notebook +| - Command +| - Edit +| - Cell +| - None +| - Active (only one can be active) +| - Selected (the cells actions are applied to) +| - Multiselected (when multiple selected, the cursor) +| - No outputs +|----------------------------------------------------------------------------*/ + +/* Command or edit modes */ + +.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt { + opacity: var(--jp-cell-prompt-not-active-opacity); + color: var(--jp-cell-prompt-not-active-font-color); +} + +.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt { + opacity: var(--jp-cell-prompt-not-active-opacity); + color: var(--jp-cell-prompt-not-active-font-color); +} + +/* cell is active */ +.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser { + background: var(--jp-brand-color1); +} + +/* cell is dirty */ +.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt { + color: var(--jp-warn-color1); +} + +.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before { + color: var(--jp-warn-color1); + content: '•'; +} + +.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser { + background: var(--jp-warn-color1); +} + +/* collapser is hovered */ +.jp-Notebook .jp-Cell .jp-Collapser:hover { + box-shadow: var(--jp-elevation-z2); + background: var(--jp-brand-color1); + opacity: var(--jp-cell-collapser-not-active-hover-opacity); +} + +/* cell is active and collapser is hovered */ +.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover { + background: var(--jp-brand-color0); + opacity: 1; +} + +/* Command mode */ + +.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected { + background: var(--jp-notebook-multiselected-color); +} + +.jp-Notebook.jp-mod-commandMode + .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) { + background: transparent; +} + +/* Edit mode */ + +.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor { + border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color); + box-shadow: var(--jp-input-box-shadow); + background-color: var(--jp-cell-editor-active-background); +} + +/*----------------------------------------------------------------------------- +| Notebook drag and drop +|----------------------------------------------------------------------------*/ + +.jp-Notebook-cell.jp-mod-dropSource { + opacity: 0.5; +} + +.jp-Notebook-cell.jp-mod-dropTarget, +.jp-Notebook.jp-mod-commandMode + .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget { + border-top-color: var(--jp-private-notebook-selected-color); + border-top-style: solid; + border-top-width: 2px; +} + +.jp-dragImage { + display: block; + flex-direction: row; + width: var(--jp-private-notebook-dragImage-width); + height: var(--jp-private-notebook-dragImage-height); + border: var(--jp-border-width) solid var(--jp-cell-editor-border-color); + background: var(--jp-cell-editor-background); + overflow: visible; +} + +.jp-dragImage-singlePrompt { + box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12); +} + +.jp-dragImage .jp-dragImage-content { + flex: 1 1 auto; + z-index: 2; + font-size: var(--jp-code-font-size); + font-family: var(--jp-code-font-family); + line-height: var(--jp-code-line-height); + padding: var(--jp-code-padding); + border: var(--jp-border-width) solid var(--jp-cell-editor-border-color); + background: var(--jp-cell-editor-background-color); + color: var(--jp-content-font-color3); + text-align: left; + margin: 4px 4px 4px 0; +} + +.jp-dragImage .jp-dragImage-prompt { + flex: 0 0 auto; + min-width: 36px; + color: var(--jp-cell-inprompt-font-color); + padding: var(--jp-code-padding); + padding-left: 12px; + font-family: var(--jp-cell-prompt-font-family); + letter-spacing: var(--jp-cell-prompt-letter-spacing); + line-height: 1.9; + font-size: var(--jp-code-font-size); + border: var(--jp-border-width) solid transparent; +} + +.jp-dragImage-multipleBack { + z-index: -1; + position: absolute; + height: 32px; + width: 300px; + top: 8px; + left: 8px; + background: var(--jp-layout-color2); + border: var(--jp-border-width) solid var(--jp-input-border-color); + box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12); +} + +/*----------------------------------------------------------------------------- +| Cell toolbar +|----------------------------------------------------------------------------*/ + +.jp-NotebookTools { + display: block; + min-width: var(--jp-sidebar-min-width); + color: var(--jp-ui-font-color1); + background: var(--jp-layout-color1); + + /* This is needed so that all font sizing of children done in ems is + * relative to this base size */ + font-size: var(--jp-ui-font-size1); + overflow: auto; +} + +.jp-ActiveCellTool { + padding: 12px 0; + display: flex; +} + +.jp-ActiveCellTool-Content { + flex: 1 1 auto; +} + +.jp-ActiveCellTool .jp-ActiveCellTool-CellContent { + background: var(--jp-cell-editor-background); + border: var(--jp-border-width) solid var(--jp-cell-editor-border-color); + border-radius: 0; + min-height: 29px; +} + +.jp-ActiveCellTool .jp-InputPrompt { + min-width: calc(var(--jp-cell-prompt-width) * 0.75); +} + +.jp-ActiveCellTool-CellContent > pre { + padding: 5px 4px; + margin: 0; + white-space: normal; +} + +.jp-MetadataEditorTool { + flex-direction: column; + padding: 12px 0; +} + +.jp-RankedPanel > :not(:first-child) { + margin-top: 12px; +} + +.jp-KeySelector select.jp-mod-styled { + font-size: var(--jp-ui-font-size1); + color: var(--jp-ui-font-color0); + border: var(--jp-border-width) solid var(--jp-border-color1); +} + +.jp-KeySelector label, +.jp-MetadataEditorTool label, +.jp-NumberSetter label { + line-height: 1.4; +} + +.jp-NotebookTools .jp-select-wrapper { + margin-top: 4px; + margin-bottom: 0; +} + +.jp-NumberSetter input { + width: 100%; + margin-top: 4px; +} + +.jp-NotebookTools .jp-Collapse { + margin-top: 16px; +} + +/*----------------------------------------------------------------------------- +| Presentation Mode (.jp-mod-presentationMode) +|----------------------------------------------------------------------------*/ + +.jp-mod-presentationMode .jp-Notebook { + --jp-content-font-size1: var(--jp-content-presentation-font-size1); + --jp-code-font-size: var(--jp-code-presentation-font-size); +} + +.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt, +.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt { + flex: 0 0 110px; +} + +/*----------------------------------------------------------------------------- +| Side-by-side Mode (.jp-mod-sideBySide) +|----------------------------------------------------------------------------*/ +.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell { + margin-top: 3em; + margin-bottom: 3em; + margin-left: 5%; + margin-right: 5%; +} + +.jp-mod-sideBySide.jp-Notebook .jp-CodeCell { + display: grid; + grid-template-columns: minmax(0, 1fr) min-content minmax( + 0, + var(--jp-side-by-side-output-size) + ); + grid-template-rows: auto minmax(0, 1fr) auto; + grid-template-areas: + 'header header header' + 'input handle output' + 'footer footer footer'; +} + +.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell { + grid-template-columns: minmax(0, 1fr) min-content minmax( + 0, + var(--jp-side-by-side-resized-cell) + ); +} + +.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader { + grid-area: header; +} + +.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper { + grid-area: input; +} + +.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper { + /* overwrite the default margin (no vertical separation needed in side by side move */ + margin-top: 0; + grid-area: output; +} + +.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter { + grid-area: footer; +} + +.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle { + grid-area: handle; + user-select: none; + display: block; + height: 100%; + cursor: ew-resize; + padding: 0 var(--jp-cell-padding); +} + +.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after { + content: ''; + display: block; + background: var(--jp-border-color2); + height: 100%; + width: 5px; +} + +.jp-mod-sideBySide.jp-Notebook + .jp-CodeCell.jp-mod-resizedCell + .jp-CellResizeHandle::after { + background: var(--jp-border-color0); +} + +.jp-CellResizeHandle { + display: none; +} + +/*----------------------------------------------------------------------------- +| Placeholder +|----------------------------------------------------------------------------*/ + +.jp-Cell-Placeholder { + padding-left: 55px; +} + +.jp-Cell-Placeholder-wrapper { + background: #fff; + border: 1px solid; + border-color: #e5e6e9 #dfe0e4 #d0d1d5; + border-radius: 4px; + -webkit-border-radius: 4px; + margin: 10px 15px; +} + +.jp-Cell-Placeholder-wrapper-inner { + padding: 15px; + position: relative; +} + +.jp-Cell-Placeholder-wrapper-body { + background-repeat: repeat; + background-size: 50% auto; +} + +.jp-Cell-Placeholder-wrapper-body div { + background: #f6f7f8; + background-image: -webkit-linear-gradient( + left, + #f6f7f8 0%, + #edeef1 20%, + #f6f7f8 40%, + #f6f7f8 100% + ); + background-repeat: no-repeat; + background-size: 800px 104px; + height: 104px; + position: absolute; + right: 15px; + left: 15px; + top: 15px; +} + +div.jp-Cell-Placeholder-h1 { + top: 20px; + height: 20px; + left: 15px; + width: 150px; +} + +div.jp-Cell-Placeholder-h2 { + left: 15px; + top: 50px; + height: 10px; + width: 100px; +} + +div.jp-Cell-Placeholder-content-1, +div.jp-Cell-Placeholder-content-2, +div.jp-Cell-Placeholder-content-3 { + left: 15px; + right: 15px; + height: 10px; +} + +div.jp-Cell-Placeholder-content-1 { + top: 100px; +} + +div.jp-Cell-Placeholder-content-2 { + top: 120px; +} + +div.jp-Cell-Placeholder-content-3 { + top: 140px; +} + +</style> +<style type="text/css"> +/*----------------------------------------------------------------------------- +| Copyright (c) Jupyter Development Team. +| Distributed under the terms of the Modified BSD License. +|----------------------------------------------------------------------------*/ + +/* +The following CSS variables define the main, public API for styling JupyterLab. +These variables should be used by all plugins wherever possible. In other +words, plugins should not define custom colors, sizes, etc unless absolutely +necessary. This enables users to change the visual theme of JupyterLab +by changing these variables. + +Many variables appear in an ordered sequence (0,1,2,3). These sequences +are designed to work well together, so for example, `--jp-border-color1` should +be used with `--jp-layout-color1`. The numbers have the following meanings: + +* 0: super-primary, reserved for special emphasis +* 1: primary, most important under normal situations +* 2: secondary, next most important under normal situations +* 3: tertiary, next most important under normal situations + +Throughout JupyterLab, we are mostly following principles from Google's +Material Design when selecting colors. We are not, however, following +all of MD as it is not optimized for dense, information rich UIs. +*/ + +:root { + /* Elevation + * + * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here: + * + * https://github.com/material-components/material-components-web + * https://material-components-web.appspot.com/elevation.html + */ + + --jp-shadow-base-lightness: 0; + --jp-shadow-umbra-color: rgba( + var(--jp-shadow-base-lightness), + var(--jp-shadow-base-lightness), + var(--jp-shadow-base-lightness), + 0.2 + ); + --jp-shadow-penumbra-color: rgba( + var(--jp-shadow-base-lightness), + var(--jp-shadow-base-lightness), + var(--jp-shadow-base-lightness), + 0.14 + ); + --jp-shadow-ambient-color: rgba( + var(--jp-shadow-base-lightness), + var(--jp-shadow-base-lightness), + var(--jp-shadow-base-lightness), + 0.12 + ); + --jp-elevation-z0: none; + --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color), + 0 1px 1px 0 var(--jp-shadow-penumbra-color), + 0 1px 3px 0 var(--jp-shadow-ambient-color); + --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color), + 0 2px 2px 0 var(--jp-shadow-penumbra-color), + 0 1px 5px 0 var(--jp-shadow-ambient-color); + --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color), + 0 4px 5px 0 var(--jp-shadow-penumbra-color), + 0 1px 10px 0 var(--jp-shadow-ambient-color); + --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color), + 0 6px 10px 0 var(--jp-shadow-penumbra-color), + 0 1px 18px 0 var(--jp-shadow-ambient-color); + --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color), + 0 8px 10px 1px var(--jp-shadow-penumbra-color), + 0 3px 14px 2px var(--jp-shadow-ambient-color); + --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color), + 0 12px 17px 2px var(--jp-shadow-penumbra-color), + 0 5px 22px 4px var(--jp-shadow-ambient-color); + --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color), + 0 16px 24px 2px var(--jp-shadow-penumbra-color), + 0 6px 30px 5px var(--jp-shadow-ambient-color); + --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color), + 0 20px 31px 3px var(--jp-shadow-penumbra-color), + 0 8px 38px 7px var(--jp-shadow-ambient-color); + --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color), + 0 24px 38px 3px var(--jp-shadow-penumbra-color), + 0 9px 46px 8px var(--jp-shadow-ambient-color); + + /* Borders + * + * The following variables, specify the visual styling of borders in JupyterLab. + */ + + --jp-border-width: 1px; + --jp-border-color0: var(--md-grey-400); + --jp-border-color1: var(--md-grey-400); + --jp-border-color2: var(--md-grey-300); + --jp-border-color3: var(--md-grey-200); + --jp-inverse-border-color: var(--md-grey-600); + --jp-border-radius: 2px; + + /* UI Fonts + * + * The UI font CSS variables are used for the typography all of the JupyterLab + * user interface elements that are not directly user generated content. + * + * The font sizing here is done assuming that the body font size of --jp-ui-font-size1 + * is applied to a parent element. When children elements, such as headings, are sized + * in em all things will be computed relative to that body size. + */ + + --jp-ui-font-scale-factor: 1.2; + --jp-ui-font-size0: 0.83333em; + --jp-ui-font-size1: 13px; /* Base font size */ + --jp-ui-font-size2: 1.2em; + --jp-ui-font-size3: 1.44em; + --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI', + helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', + 'Segoe UI Symbol'; + + /* + * Use these font colors against the corresponding main layout colors. + * In a light theme, these go from dark to light. + */ + + /* Defaults use Material Design specification */ + --jp-ui-font-color0: rgba(0, 0, 0, 1); + --jp-ui-font-color1: rgba(0, 0, 0, 0.87); + --jp-ui-font-color2: rgba(0, 0, 0, 0.54); + --jp-ui-font-color3: rgba(0, 0, 0, 0.38); + + /* + * Use these against the brand/accent/warn/error colors. + * These will typically go from light to darker, in both a dark and light theme. + */ + + --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1); + --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1); + --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7); + --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5); + + /* Content Fonts + * + * Content font variables are used for typography of user generated content. + * + * The font sizing here is done assuming that the body font size of --jp-content-font-size1 + * is applied to a parent element. When children elements, such as headings, are sized + * in em all things will be computed relative to that body size. + */ + + --jp-content-line-height: 1.6; + --jp-content-font-scale-factor: 1.2; + --jp-content-font-size0: 0.83333em; + --jp-content-font-size1: 14px; /* Base font size */ + --jp-content-font-size2: 1.2em; + --jp-content-font-size3: 1.44em; + --jp-content-font-size4: 1.728em; + --jp-content-font-size5: 2.0736em; + + /* This gives a magnification of about 125% in presentation mode over normal. */ + --jp-content-presentation-font-size1: 17px; + --jp-content-heading-line-height: 1; + --jp-content-heading-margin-top: 1.2em; + --jp-content-heading-margin-bottom: 0.8em; + --jp-content-heading-font-weight: 500; + + /* Defaults use Material Design specification */ + --jp-content-font-color0: rgba(0, 0, 0, 1); + --jp-content-font-color1: rgba(0, 0, 0, 0.87); + --jp-content-font-color2: rgba(0, 0, 0, 0.54); + --jp-content-font-color3: rgba(0, 0, 0, 0.38); + --jp-content-link-color: var(--md-blue-900); + --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont, + 'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji', + 'Segoe UI Emoji', 'Segoe UI Symbol'; + + /* + * Code Fonts + * + * Code font variables are used for typography of code and other monospaces content. + */ + + --jp-code-font-size: 13px; + --jp-code-line-height: 1.3077; /* 17px for 13px base */ + --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */ + --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace; + --jp-code-font-family: var(--jp-code-font-family-default); + + /* This gives a magnification of about 125% in presentation mode over normal. */ + --jp-code-presentation-font-size: 16px; + + /* may need to tweak cursor width if you change font size */ + --jp-code-cursor-width0: 1.4px; + --jp-code-cursor-width1: 2px; + --jp-code-cursor-width2: 4px; + + /* Layout + * + * The following are the main layout colors use in JupyterLab. In a light + * theme these would go from light to dark. + */ + + --jp-layout-color0: white; + --jp-layout-color1: white; + --jp-layout-color2: var(--md-grey-200); + --jp-layout-color3: var(--md-grey-400); + --jp-layout-color4: var(--md-grey-600); + + /* Inverse Layout + * + * The following are the inverse layout colors use in JupyterLab. In a light + * theme these would go from dark to light. + */ + + --jp-inverse-layout-color0: #111; + --jp-inverse-layout-color1: var(--md-grey-900); + --jp-inverse-layout-color2: var(--md-grey-800); + --jp-inverse-layout-color3: var(--md-grey-700); + --jp-inverse-layout-color4: var(--md-grey-600); + + /* Brand/accent */ + + --jp-brand-color0: var(--md-blue-900); + --jp-brand-color1: var(--md-blue-700); + --jp-brand-color2: var(--md-blue-300); + --jp-brand-color3: var(--md-blue-100); + --jp-brand-color4: var(--md-blue-50); + --jp-accent-color0: var(--md-green-900); + --jp-accent-color1: var(--md-green-700); + --jp-accent-color2: var(--md-green-300); + --jp-accent-color3: var(--md-green-100); + + /* State colors (warn, error, success, info) */ + + --jp-warn-color0: var(--md-orange-900); + --jp-warn-color1: var(--md-orange-700); + --jp-warn-color2: var(--md-orange-300); + --jp-warn-color3: var(--md-orange-100); + --jp-error-color0: var(--md-red-900); + --jp-error-color1: var(--md-red-700); + --jp-error-color2: var(--md-red-300); + --jp-error-color3: var(--md-red-100); + --jp-success-color0: var(--md-green-900); + --jp-success-color1: var(--md-green-700); + --jp-success-color2: var(--md-green-300); + --jp-success-color3: var(--md-green-100); + --jp-info-color0: var(--md-cyan-900); + --jp-info-color1: var(--md-cyan-700); + --jp-info-color2: var(--md-cyan-300); + --jp-info-color3: var(--md-cyan-100); + + /* Cell specific styles */ + + --jp-cell-padding: 5px; + --jp-cell-collapser-width: 8px; + --jp-cell-collapser-min-height: 20px; + --jp-cell-collapser-not-active-hover-opacity: 0.6; + --jp-cell-editor-background: var(--md-grey-100); + --jp-cell-editor-border-color: var(--md-grey-300); + --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300); + --jp-cell-editor-active-background: var(--jp-layout-color0); + --jp-cell-editor-active-border-color: var(--jp-brand-color1); + --jp-cell-prompt-width: 64px; + --jp-cell-prompt-font-family: var(--jp-code-font-family-default); + --jp-cell-prompt-letter-spacing: 0; + --jp-cell-prompt-opacity: 1; + --jp-cell-prompt-not-active-opacity: 0.5; + --jp-cell-prompt-not-active-font-color: var(--md-grey-700); + + /* A custom blend of MD grey and blue 600 + * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */ + --jp-cell-inprompt-font-color: #307fc1; + + /* A custom blend of MD grey and orange 600 + * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */ + --jp-cell-outprompt-font-color: #bf5b3d; + + /* Notebook specific styles */ + + --jp-notebook-padding: 10px; + --jp-notebook-select-background: var(--jp-layout-color1); + --jp-notebook-multiselected-color: var(--md-blue-50); + + /* The scroll padding is calculated to fill enough space at the bottom of the + notebook to show one single-line cell (with appropriate padding) at the top + when the notebook is scrolled all the way to the bottom. We also subtract one + pixel so that no scrollbar appears if we have just one single-line cell in the + notebook. This padding is to enable a 'scroll past end' feature in a notebook. + */ + --jp-notebook-scroll-padding: calc( + 100% - var(--jp-code-font-size) * var(--jp-code-line-height) - + var(--jp-code-padding) - var(--jp-cell-padding) - 1px + ); + + /* Rendermime styles */ + + --jp-rendermime-error-background: #fdd; + --jp-rendermime-table-row-background: var(--md-grey-100); + --jp-rendermime-table-row-hover-background: var(--md-light-blue-50); + + /* Dialog specific styles */ + + --jp-dialog-background: rgba(0, 0, 0, 0.25); + + /* Console specific styles */ + + --jp-console-padding: 10px; + + /* Toolbar specific styles */ + + --jp-toolbar-border-color: var(--jp-border-color1); + --jp-toolbar-micro-height: 8px; + --jp-toolbar-background: var(--jp-layout-color1); + --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24); + --jp-toolbar-header-margin: 4px 4px 0 4px; + --jp-toolbar-active-background: var(--md-grey-300); + + /* Statusbar specific styles */ + + --jp-statusbar-height: 24px; + + /* Input field styles */ + + --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300); + --jp-input-active-background: var(--jp-layout-color1); + --jp-input-hover-background: var(--jp-layout-color1); + --jp-input-background: var(--md-grey-100); + --jp-input-border-color: var(--jp-inverse-border-color); + --jp-input-active-border-color: var(--jp-brand-color1); + --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3); + + /* General editor styles */ + + --jp-editor-selected-background: #d9d9d9; + --jp-editor-selected-focused-background: #d7d4f0; + --jp-editor-cursor-color: var(--jp-ui-font-color0); + + /* Code mirror specific styles */ + + --jp-mirror-editor-keyword-color: #008000; + --jp-mirror-editor-atom-color: #88f; + --jp-mirror-editor-number-color: #080; + --jp-mirror-editor-def-color: #00f; + --jp-mirror-editor-variable-color: var(--md-grey-900); + --jp-mirror-editor-variable-2-color: rgb(0, 54, 109); + --jp-mirror-editor-variable-3-color: #085; + --jp-mirror-editor-punctuation-color: #05a; + --jp-mirror-editor-property-color: #05a; + --jp-mirror-editor-operator-color: #a2f; + --jp-mirror-editor-comment-color: #408080; + --jp-mirror-editor-string-color: #ba2121; + --jp-mirror-editor-string-2-color: #708; + --jp-mirror-editor-meta-color: #a2f; + --jp-mirror-editor-qualifier-color: #555; + --jp-mirror-editor-builtin-color: #008000; + --jp-mirror-editor-bracket-color: #997; + --jp-mirror-editor-tag-color: #170; + --jp-mirror-editor-attribute-color: #00c; + --jp-mirror-editor-header-color: blue; + --jp-mirror-editor-quote-color: #090; + --jp-mirror-editor-link-color: #00c; + --jp-mirror-editor-error-color: #f00; + --jp-mirror-editor-hr-color: #999; + + /* + RTC user specific colors. + These colors are used for the cursor, username in the editor, + and the icon of the user. + */ + + --jp-collaborator-color1: #ffad8e; + --jp-collaborator-color2: #dac83d; + --jp-collaborator-color3: #72dd76; + --jp-collaborator-color4: #00e4d0; + --jp-collaborator-color5: #45d4ff; + --jp-collaborator-color6: #e2b1ff; + --jp-collaborator-color7: #ff9de6; + + /* Vega extension styles */ + + --jp-vega-background: white; + + /* Sidebar-related styles */ + + --jp-sidebar-min-width: 250px; + + /* Search-related styles */ + + --jp-search-toggle-off-opacity: 0.5; + --jp-search-toggle-hover-opacity: 0.8; + --jp-search-toggle-on-opacity: 1; + --jp-search-selected-match-background-color: rgb(245, 200, 0); + --jp-search-selected-match-color: black; + --jp-search-unselected-match-background-color: var( + --jp-inverse-layout-color0 + ); + --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0); + + /* Icon colors that work well with light or dark backgrounds */ + --jp-icon-contrast-color0: var(--md-purple-600); + --jp-icon-contrast-color1: var(--md-green-600); + --jp-icon-contrast-color2: var(--md-pink-600); + --jp-icon-contrast-color3: var(--md-blue-600); + + /* Button colors */ + --jp-accept-color-normal: var(--md-blue-700); + --jp-accept-color-hover: var(--md-blue-800); + --jp-accept-color-active: var(--md-blue-900); + --jp-warn-color-normal: var(--md-red-700); + --jp-warn-color-hover: var(--md-red-800); + --jp-warn-color-active: var(--md-red-900); + --jp-reject-color-normal: var(--md-grey-600); + --jp-reject-color-hover: var(--md-grey-700); + --jp-reject-color-active: var(--md-grey-800); + + /* File or activity icons and switch semantic variables */ + --jp-jupyter-icon-color: #f37626; + --jp-notebook-icon-color: #f37626; + --jp-json-icon-color: var(--md-orange-700); + --jp-console-icon-background-color: var(--md-blue-700); + --jp-console-icon-color: white; + --jp-terminal-icon-background-color: var(--md-grey-800); + --jp-terminal-icon-color: var(--md-grey-200); + --jp-text-editor-icon-color: var(--md-grey-700); + --jp-inspector-icon-color: var(--md-grey-700); + --jp-switch-color: var(--md-grey-400); + --jp-switch-true-position-color: var(--md-orange-900); +} +</style> +<style type="text/css"> +/* Force rendering true colors when outputing to pdf */ +* { + -webkit-print-color-adjust: exact; +} + +/* Misc */ +a.anchor-link { + display: none; +} + +/* Input area styling */ +.jp-InputArea { + overflow: hidden; +} + +.jp-InputArea-editor { + overflow: hidden; +} + +.cm-editor.cm-s-jupyter .highlight pre { +/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */ + padding: var(--jp-code-padding) 4px; + margin: 0; + + font-family: inherit; + font-size: inherit; + line-height: inherit; + color: inherit; + +} + +.jp-OutputArea-output pre { + line-height: inherit; + font-family: inherit; +} + +.jp-RenderedText pre { + color: var(--jp-content-font-color1); + font-size: var(--jp-code-font-size); +} + +/* Hiding the collapser by default */ +.jp-Collapser { + display: none; +} + +@page { + margin: 0.5in; /* Margin for each printed piece of paper */ +} + +@media print { + .jp-Cell-inputWrapper, + .jp-Cell-outputWrapper { + display: block; + } +} +</style> +<!-- Load mathjax --> +<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script> +<!-- MathJax configuration --> +<script type="text/x-mathjax-config"> + init_mathjax = function() { + if (window.MathJax) { + // MathJax loaded + MathJax.Hub.Config({ + TeX: { + equationNumbers: { + autoNumber: "AMS", + useLabelIds: true + } + }, + tex2jax: { + inlineMath: [ ['$','$'], ["\\(","\\)"] ], + displayMath: [ ['$$','$$'], ["\\[","\\]"] ], + processEscapes: true, + processEnvironments: true + }, + displayAlign: 'center', + messageStyle: 'none', + CommonHTML: { + linebreaks: { + automatic: true + } + } + }); + + MathJax.Hub.Queue(["Typeset", MathJax.Hub]); + } + } + init_mathjax(); + </script> +<!-- End of mathjax configuration --><script type="module"> + document.addEventListener("DOMContentLoaded", async () => { + const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid"); + // do not load mermaidjs if not needed + if (!diagrams.length) { + return; + } + const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.7.0/mermaid.esm.min.mjs")).default; + const parser = new DOMParser(); + + mermaid.initialize({ + maxTextSize: 100000, + maxEdges: 100000, + startOnLoad: false, + fontFamily: window + .getComputedStyle(document.body) + .getPropertyValue("--jp-ui-font-family"), + theme: document.querySelector("body[data-jp-theme-light='true']") + ? "default" + : "dark", + }); + + let _nextMermaidId = 0; + + function makeMermaidImage(svg) { + const img = document.createElement("img"); + const doc = parser.parseFromString(svg, "image/svg+xml"); + const svgEl = doc.querySelector("svg"); + const { maxWidth } = svgEl?.style || {}; + const firstTitle = doc.querySelector("title"); + const firstDesc = doc.querySelector("desc"); + + img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`); + if (maxWidth) { + img.width = parseInt(maxWidth); + } + if (firstTitle) { + img.setAttribute("alt", firstTitle.textContent); + } + if (firstDesc) { + const caption = document.createElement("figcaption"); + caption.className = "sr-only"; + caption.textContent = firstDesc.textContent; + return [img, caption]; + } + return [img]; + } + + async function makeMermaidError(text) { + let errorMessage = ""; + try { + await mermaid.parse(text); + } catch (err) { + errorMessage = `${err}`; + } + + const result = document.createElement("details"); + result.className = 'jp-RenderedMermaid-Details'; + const summary = document.createElement("summary"); + summary.className = 'jp-RenderedMermaid-Summary'; + const pre = document.createElement("pre"); + const code = document.createElement("code"); + code.innerText = text; + pre.appendChild(code); + summary.appendChild(pre); + result.appendChild(summary); + + const warning = document.createElement("pre"); + warning.innerText = errorMessage; + result.appendChild(warning); + return [result]; + } + + async function renderOneMarmaid(src) { + const id = `jp-mermaid-${_nextMermaidId++}`; + const parent = src.parentNode; + let raw = src.textContent.trim(); + const el = document.createElement("div"); + el.style.visibility = "hidden"; + document.body.appendChild(el); + let results = null; + let output = null; + try { + let { svg } = await mermaid.render(id, raw, el); + svg = cleanMermaidSvg(svg); + results = makeMermaidImage(svg); + output = document.createElement("figure"); + results.map(output.appendChild, output); + } catch (err) { + parent.classList.add("jp-mod-warning"); + results = await makeMermaidError(raw); + output = results[0]; + } finally { + el.remove(); + } + parent.classList.add("jp-RenderedMermaid"); + parent.appendChild(output); + } + + + /** + * Post-process to ensure mermaid diagrams contain only valid SVG and XHTML. + */ + function cleanMermaidSvg(svg) { + return svg.replace(RE_VOID_ELEMENT, replaceVoidElement); + } + + + /** + * A regular expression for all void elements, which may include attributes and + * a slash. + * + * @see https://developer.mozilla.org/en-US/docs/Glossary/Void_element + * + * Of these, only `<br>` is generated by Mermaid in place of `\n`, + * but _any_ "malformed" tag will break the SVG rendering entirely. + */ + const RE_VOID_ELEMENT = + /<\s*(area|base|br|col|embed|hr|img|input|link|meta|param|source|track|wbr)\s*([^>]*?)\s*>/gi; + + /** + * Ensure a void element is closed with a slash, preserving any attributes. + */ + function replaceVoidElement(match, tag, rest) { + rest = rest.trim(); + if (!rest.endsWith('/')) { + rest = `${rest} /`; + } + return `<${tag} ${rest}>`; + } + + void Promise.all([...diagrams].map(renderOneMarmaid)); + }); +</script> +<style> + .jp-Mermaid:not(.jp-RenderedMermaid) { + display: none; + } + + .jp-RenderedMermaid { + overflow: auto; + display: flex; + } + + .jp-RenderedMermaid.jp-mod-warning { + width: auto; + padding: 0.5em; + margin-top: 0.5em; + border: var(--jp-border-width) solid var(--jp-warn-color2); + border-radius: var(--jp-border-radius); + color: var(--jp-ui-font-color1); + font-size: var(--jp-ui-font-size1); + white-space: pre-wrap; + word-wrap: break-word; + } + + .jp-RenderedMermaid figure { + margin: 0; + overflow: auto; + max-width: 100%; + } + + .jp-RenderedMermaid img { + max-width: 100%; + } + + .jp-RenderedMermaid-Details > pre { + margin-top: 1em; + } + + .jp-RenderedMermaid-Summary { + color: var(--jp-warn-color2); + } + + .jp-RenderedMermaid:not(.jp-mod-warning) pre { + display: none; + } + + .jp-RenderedMermaid-Summary > pre { + display: inline-block; + white-space: normal; + } +</style> +<!-- End of mermaid configuration --></head> +<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light"> +<main> +<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d5bcc190"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> +<h1 id="Histopathologic-Cancer-Detection-with-CNN">Histopathologic Cancer Detection with CNN<a class="anchor-link" href="#Histopathologic-Cancer-Detection-with-CNN">¶</a></h1><h2 id="Binary-classification-of-metastatic-cancer-in-tissue-samples">Binary classification of metastatic cancer in tissue samples<a class="anchor-link" href="#Binary-classification-of-metastatic-cancer-in-tissue-samples">¶</a></h2> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=f4da88c9"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">cv2</span> +<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span> +<span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span> +<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">scipy</span><span class="w"> </span><span class="kn">import</span> <span class="n">stats</span> +<span class="kn">import</span><span class="w"> </span><span class="nn">seaborn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">sns</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">sklearn.model_selection</span><span class="w"> </span><span class="kn">import</span> <span class="n">train_test_split</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">sklearn.metrics</span><span class="w"> </span><span class="kn">import</span> <span class="n">roc_auc_score</span><span class="p">,</span> <span class="n">confusion_matrix</span><span class="p">,</span> <span class="n">classification_report</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">sklearn.utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">shuffle</span> + +<span class="kn">import</span><span class="w"> </span><span class="nn">tensorflow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">tf</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">tensorflow</span><span class="w"> </span><span class="kn">import</span> <span class="n">keras</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">tensorflow.keras.models</span><span class="w"> </span><span class="kn">import</span> <span class="n">load_model</span><span class="p">,</span> <span class="n">Sequential</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">tensorflow.keras.layers</span><span class="w"> </span><span class="kn">import</span> <span class="n">Conv2D</span><span class="p">,</span> <span class="n">MaxPooling2D</span><span class="p">,</span> <span class="n">Flatten</span><span class="p">,</span> <span class="n">Dense</span><span class="p">,</span> <span class="n">Dropout</span><span class="p">,</span> <span class="n">BatchNormalization</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">tensorflow.keras.preprocessing.image</span><span class="w"> </span><span class="kn">import</span> <span class="n">ImageDataGenerator</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">tensorflow.keras.callbacks</span><span class="w"> </span><span class="kn">import</span> <span class="n">EarlyStopping</span><span class="p">,</span> <span class="n">ReduceLROnPlateau</span><span class="p">,</span> <span class="n">ModelCheckpoint</span><span class="p">,</span> <span class="n">CSVLogger</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">tensorflow.keras.regularizers</span><span class="w"> </span><span class="kn">import</span> <span class="n">l1</span><span class="p">,</span> <span class="n">l2</span><span class="p">,</span> <span class="n">l1_l2</span> + +<span class="kn">import</span><span class="w"> </span><span class="nn">os</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">PIL</span><span class="w"> </span><span class="kn">import</span> <span class="n">Image</span> +<span class="kn">from</span><span class="w"> </span><span class="nn">tqdm</span><span class="w"> </span><span class="kn">import</span> <span class="n">tqdm</span> + +<span class="c1"># Set random seeds for reproducibility</span> +<span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">42</span><span class="p">)</span> +<span class="n">tf</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">set_seed</span><span class="p">(</span><span class="mi">42</span><span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>2025-09-10 10:43:25.735520: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. +To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. +</pre> +</div> +</div> +</div> +</div> +</div> +<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f7e4c9bb-bbd8-4e92-a62b-3cd6d1a69c05"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> +<h2 id="Problem-Description:-Histopathologic-Cancer-Detection">Problem Description: Histopathologic Cancer Detection<a class="anchor-link" href="#Problem-Description:-Histopathologic-Cancer-Detection">¶</a></h2><p>This project addresses the binary classification task of detecting metastatic cancer in small image patches taken from larger digital pathology scans. The dataset consists of 96x96 pixel RGB images extracted from histopathologic scans of lymph node sections. The size is convenient: bigger than CIFAR10, smaller than imagenet, trainable on a single GPU.</p> +<p>The challenge originates from the <a href="https://github.com/basveeling/pcam">PatchCamelyon (PCam) benchmark dataset</a>, which provides a realistic simulation of the task pathologists face when examining lymph node sections for metastatic cancer. Lymph node involvement is clinically crucial for cancer staging and treatment decisions, as the presence of metastasis significantly impacts patient prognosis and therapeutic approaches.</p> +<p>Data source: <a href="https://www.kaggle.com/competitions/histopathologic-cancer-detection/">Kaggle</a>.</p> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=653be133"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Configuration</span> +<span class="n">DATA_DIR</span> <span class="o">=</span> <span class="s1">'/kaggle/input/histopathologic-cancer-detection'</span> <span class="k">if</span> <span class="s1">'KAGGLE_URL_BASE'</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span> <span class="k">else</span> <span class="s1">'data_3'</span> +<span class="n">TRAIN_DIR</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">DATA_DIR</span><span class="p">,</span> <span class="s1">'train'</span><span class="p">)</span> +<span class="n">TEST_DIR</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">DATA_DIR</span><span class="p">,</span> <span class="s1">'test'</span><span class="p">)</span> + +<span class="n">IMG_SIZE</span> <span class="o">=</span> <span class="mi">96</span> +<span class="n">BATCH_SIZE</span> <span class="o">=</span> <span class="mi">64</span> +<span class="n">EPOCHS</span> <span class="o">=</span> <span class="mi">30</span> +</pre></div> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=468866f9"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Load and explore the data</span> +<span class="n">train_labels</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">DATA_DIR</span><span class="p">,</span> <span class="s1">'train_labels.csv'</span><span class="p">))</span> + +<span class="c1"># Inspect the data</span> +<span class="n">display</span><span class="p">(</span><span class="n">train_labels</span><span class="o">.</span><span class="n">head</span><span class="p">())</span> +<span class="n">train_labels</span><span class="o">.</span><span class="n">info</span><span class="p">()</span> + +<span class="c1"># Add full paths to the dataframe</span> +<span class="n">train_labels</span><span class="p">[</span><span class="s1">'path'</span><span class="p">]</span> <span class="o">=</span> <span class="n">train_labels</span><span class="p">[</span><span class="s1">'id'</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">img_id</span><span class="p">:</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">TRAIN_DIR</span><span class="p">,</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">img_id</span><span class="si">}</span><span class="s2">.tif"</span><span class="p">))</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output" data-mime-type="text/html" tabindex="0"> +<div> +<style scoped=""> + .dataframe tbody tr th:only-of-type { + vertical-align: middle; + } + + .dataframe tbody tr th { + vertical-align: top; + } + + .dataframe thead th { + text-align: right; + } +</style> +<table border="1" class="dataframe"> +<thead> +<tr style="text-align: right;"> +<th></th> +<th>id</th> +<th>label</th> +</tr> +</thead> +<tbody> +<tr> +<th>0</th> +<td>f38a6374c348f90b587e046aac6079959adf3835</td> +<td>0</td> +</tr> +<tr> +<th>1</th> +<td>c18f2d887b7ae4f6742ee445113fa1aef383ed77</td> +<td>1</td> +</tr> +<tr> +<th>2</th> +<td>755db6279dae599ebb4d39a9123cce439965282d</td> +<td>0</td> +</tr> +<tr> +<th>3</th> +<td>bc3f0c64fb968ff4a8bd33af6971ecae77c75e08</td> +<td>0</td> +</tr> +<tr> +<th>4</th> +<td>068aba587a4950175d04c680d38943fd488d6a9d</td> +<td>0</td> +</tr> +</tbody> +</table> +</div> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><class 'pandas.core.frame.DataFrame'> +RangeIndex: 220025 entries, 0 to 220024 +Data columns (total 2 columns): + # Column Non-Null Count Dtype +--- ------ -------------- ----- + 0 id 220025 non-null object + 1 label 220025 non-null int64 +dtypes: int64(1), object(1) +memory usage: 3.4+ MB +</pre> +</div> +</div> +</div> +</div> +</div> +<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f761a9f1"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> +<h2 id="Comprehensive-Exploratory-Data-Analysis-(EDA)">Comprehensive Exploratory Data Analysis (EDA)<a class="anchor-link" href="#Comprehensive-Exploratory-Data-Analysis-(EDA)">¶</a></h2> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=8ee8c9f7"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Check for missing values</span> +<span class="nb">print</span><span class="p">(</span><span class="s2">"Missing values in labels:"</span><span class="p">,</span> <span class="n">train_labels</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">())</span> +<span class="nb">print</span><span class="p">(</span><span class="s2">"Duplicate IDs:"</span><span class="p">,</span> <span class="n">train_labels</span><span class="p">[</span><span class="s1">'id'</span><span class="p">]</span><span class="o">.</span><span class="n">duplicated</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">())</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre>Missing values in labels: 0 +Duplicate IDs: 0 +</pre> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=5c4d7aac"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Visualize class distribution</span> +<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span> +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> +<span class="n">sns</span><span class="o">.</span><span class="n">countplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s1">'label'</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">train_labels</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Class Distribution'</span><span class="p">)</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">pie</span><span class="p">(</span><span class="n">train_labels</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">(),</span> + <span class="n">labels</span><span class="o">=</span><span class="p">[</span><span class="s1">'0'</span><span class="p">,</span> <span class="s1">'1'</span><span class="p">],</span> + <span class="n">autopct</span><span class="o">=</span><span class="s1">'</span><span class="si">%1.1f%%</span><span class="s1">'</span><span class="p">,</span> <span class="n">colors</span><span class="o">=</span><span class="p">[</span><span class="s1">'lightblue'</span><span class="p">,</span> <span class="s1">'lightcoral'</span><span class="p">])</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Class Proportions'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> 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"/> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6cdd7e13"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Image metadata analysis</span> +<span class="k">def</span><span class="w"> </span><span class="nf">analyze_image_metadata</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">sample_size</span><span class="o">=</span><span class="mi">1000</span><span class="p">):</span> +<span class="w"> </span><span class="sd">"""Analyze image dimensions, formats, and basic statistics"""</span> + <span class="nb">print</span><span class="p">(</span><span class="s2">"Analysis done on a sample of </span><span class="si">%d</span><span class="s2"> images"</span> <span class="o">%</span> <span class="n">sample_size</span><span class="p">)</span> + + <span class="c1"># Sample images for analysis</span> + <span class="n">sample_df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">sample_size</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">df</span><span class="p">)),</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span> + + <span class="n">dimensions</span> <span class="o">=</span> <span class="p">[]</span> + <span class="n">formats</span> <span class="o">=</span> <span class="p">[]</span> + <span class="n">mean_intensities</span> <span class="o">=</span> <span class="p">[]</span> + <span class="n">std_intensities</span> <span class="o">=</span> <span class="p">[]</span> + + <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="n">sample_df</span><span class="o">.</span><span class="n">iterrows</span><span class="p">(),</span> <span class="n">desc</span><span class="o">=</span><span class="s2">"Analyzing image metadata"</span><span class="p">):</span> + <span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">'path'</span><span class="p">])</span> + <span class="n">img_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">img</span><span class="p">)</span> + + <span class="n">dimensions</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">img_array</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> + <span class="n">formats</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">img</span><span class="o">.</span><span class="n">format</span> <span class="k">if</span> <span class="n">img</span><span class="o">.</span><span class="n">format</span> <span class="k">else</span> <span class="s1">'Unknown'</span><span class="p">)</span> + <span class="n">mean_intensities</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">img_array</span><span class="p">))</span> + <span class="n">std_intensities</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">img_array</span><span class="p">))</span> + + <span class="c1"># Analyze dimensions</span> + <span class="n">unique_dims</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">dimensions</span><span class="p">)</span> + <span class="nb">print</span><span class="p">(</span><span class="s2">"Unique image dimensions:"</span><span class="p">,</span> <span class="n">unique_dims</span><span class="p">)</span> + <span class="nb">print</span><span class="p">(</span><span class="s2">"All images same size:"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">unique_dims</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">)</span> + + <span class="c1"># Analyze formats</span> + <span class="nb">print</span><span class="p">(</span><span class="s2">"All images have a format of </span><span class="si">%s</span><span class="s2">:"</span> <span class="o">%</span> <span class="n">formats</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">all</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span> <span class="o">==</span> <span class="n">formats</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">formats</span><span class="p">)))</span> + + <span class="c1"># Analyze intensity statistics</span> + <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">Intensity statistics:"</span><span class="p">)</span> + <span class="nb">print</span><span class="p">(</span><span class="s2">"Mean intensity: </span><span class="si">%.2f</span><span class="s2"> ± </span><span class="si">%.2f</span><span class="s2">"</span> <span class="o">%</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">mean_intensities</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">mean_intensities</span><span class="p">)))</span> + <span class="nb">print</span><span class="p">(</span><span class="s2">"Std intensity: </span><span class="si">%.2f</span><span class="s2"> ± </span><span class="si">%.2f</span><span class="s2">"</span> <span class="o">%</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">std_intensities</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">std_intensities</span><span class="p">)))</span> + +<span class="c1"># Run metadata analysis</span> +<span class="n">analyze_image_metadata</span><span class="p">(</span><span class="n">train_labels</span><span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre>Analysis done on a sample of 1000 images +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>Analyzing image metadata: 1000it [00:00, 1217.26it/s]</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre>Unique image dimensions: {(96, 96, 3)} +All images same size: True +All images have a format of TIFF: True + +Intensity statistics: +Mean intensity: 164.00 ± 38.53 +Std intensity: 51.66 ± 13.62 +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre> +</pre> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=53e9c18f"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Data leakage check - ensure no duplicate images between train and test</span> +<span class="n">overlap</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">train_labels</span><span class="p">[</span><span class="s1">'id'</span><span class="p">])</span><span class="o">.</span><span class="n">intersection</span><span class="p">((</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">splitext</span><span class="p">(</span><span class="n">f</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">listdir</span><span class="p">(</span><span class="n">TEST_DIR</span><span class="p">)))</span> +<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of overlapping files:"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">overlap</span><span class="p">))</span> +<span class="nb">print</span><span class="p">(</span><span class="s2">"No leakage detected:"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">overlap</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre>Number of overlapping files: 0 +No leakage detected: True +</pre> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=f72551e6"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Sample some images from each class</span> +<span class="k">def</span><span class="w"> </span><span class="nf">visualize_samples</span><span class="p">(</span><span class="n">n_samples</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span> + <span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="n">n_samples</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span> + + <span class="k">for</span> <span class="n">label</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]:</span> + <span class="n">sample_df</span> <span class="o">=</span> <span class="n">train_labels</span><span class="p">[</span><span class="n">train_labels</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span> <span class="o">==</span> <span class="n">label</span><span class="p">]</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">n_samples</span><span class="p">)</span> + + <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">_</span><span class="p">,</span> <span class="n">row</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">sample_df</span><span class="o">.</span><span class="n">iterrows</span><span class="p">()):</span> + <span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">'path'</span><span class="p">])</span> + + <span class="n">axes</span><span class="p">[</span><span class="n">label</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">)</span> + <span class="n">axes</span><span class="p">[</span><span class="n">label</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">"Label: </span><span class="si">%s</span><span class="s2">"</span> <span class="o">%</span> <span class="n">label</span><span class="p">)</span> + <span class="n">axes</span><span class="p">[</span><span class="n">label</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">'off'</span><span class="p">)</span> + + <span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span> + <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">visualize_samples</span><span class="p">()</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0"> +<img alt="No description has been provided for this image" class="" 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"/> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=c6c5bb05"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span><span class="w"> </span><span class="nf">analyze_pixel_intensities</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">sample_size</span><span class="o">=</span><span class="mi">1000</span><span class="p">):</span> +<span class="w"> </span><span class="sd">"""Analyze pixel intensity distributions for each class"""</span> + <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">42</span><span class="p">)</span> + + <span class="c1"># Sample images from each class</span> + <span class="n">samples_0</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">sample_size</span> <span class="o">//</span> <span class="mi">2</span><span class="p">)</span> + <span class="n">samples_1</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">sample_size</span> <span class="o">//</span> <span class="mi">2</span><span class="p">)</span> + + <span class="n">pixels_0</span> <span class="o">=</span> <span class="p">[]</span> + <span class="n">pixels_1</span> <span class="o">=</span> <span class="p">[]</span> + + <span class="c1"># Process negative samples</span> + <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="n">samples_0</span><span class="o">.</span><span class="n">iterrows</span><span class="p">(),</span> <span class="n">desc</span><span class="o">=</span><span class="s2">"Processing negative samples"</span><span class="p">):</span> + <span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">'path'</span><span class="p">])</span> + <span class="n">img_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">img</span><span class="p">)</span> + <span class="n">pixels_0</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">img_array</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> + + <span class="c1"># Process positive samples</span> + <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="n">samples_1</span><span class="o">.</span><span class="n">iterrows</span><span class="p">(),</span> <span class="n">desc</span><span class="o">=</span><span class="s2">"Processing positive samples"</span><span class="p">):</span> + <span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">'path'</span><span class="p">])</span> + <span class="n">img_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">img</span><span class="p">)</span> + <span class="n">pixels_1</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">img_array</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> + + <span class="k">return</span> <span class="n">pixels_0</span><span class="p">,</span> <span class="n">pixels_1</span> + +<span class="c1"># Analyze pixel intensities</span> +<span class="n">pixels_0</span><span class="p">,</span> <span class="n">pixels_1</span> <span class="o">=</span> <span class="n">analyze_pixel_intensities</span><span class="p">(</span><span class="n">train_labels</span><span class="p">,</span> <span class="n">sample_size</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>Processing negative samples: 500it [00:01, 489.64it/s] +Processing positive samples: 500it [00:01, 453.75it/s] +</pre> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=bdb14fdf"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Plot pixel intensity histograms</span> +<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">pixels_0</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'0'</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'blue'</span><span class="p">,</span> <span class="n">density</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">pixels_1</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'1'</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'red'</span><span class="p">,</span> <span class="n">density</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Pixel Intensity Distribution (All Channels)'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Pixel Intensity'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'Density'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span> +<span class="c1"># Sample a smaller subset for individual channels</span> +<span class="n">sample_img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">train_labels</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="s1">'path'</span><span class="p">])</span> +<span class="n">sample_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">sample_img</span><span class="p">)</span> +<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">color</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">([</span><span class="s1">'Red'</span><span class="p">,</span> <span class="s1">'Green'</span><span class="p">,</span> <span class="s1">'Blue'</span><span class="p">]):</span> + <span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">sample_array</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">bins</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="n">color</span><span class="p">,</span> <span class="n">density</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Channel Intensity Distribution (Single Image)'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Pixel Intensity'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'Density'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span> +<span class="c1"># Sample a smaller subset for individual channels</span> +<span class="n">sample_img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">train_labels</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="s1">'path'</span><span class="p">])</span> +<span class="n">sample_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">sample_img</span><span class="p">)</span> +<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">color</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">([</span><span class="s1">'Red'</span><span class="p">,</span> <span class="s1">'Green'</span><span class="p">,</span> <span class="s1">'Blue'</span><span class="p">]):</span> + <span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">sample_array</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">bins</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="n">color</span><span class="p">,</span> <span class="n">density</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Channel Intensity Distribution (Another Image)'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Pixel Intensity'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'Density'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span> +<span class="c1"># Compare mean intensities</span> +<span class="n">means_0</span> <span class="o">=</span> <span class="p">[]</span> +<span class="n">means_1</span> <span class="o">=</span> <span class="p">[]</span> + +<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">200</span><span class="p">)):</span> <span class="c1"># Smaller sample for performance</span> + <span class="n">neg_img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">train_labels</span><span class="p">[</span><span class="n">train_labels</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">'path'</span><span class="p">])</span> + <span class="n">pos_img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">train_labels</span><span class="p">[</span><span class="n">train_labels</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">'path'</span><span class="p">])</span> + + <span class="n">means_0</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">neg_img</span><span class="p">)))</span> + <span class="n">means_1</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">pos_img</span><span class="p">)))</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">means_0</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'0'</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'blue'</span><span class="p">,</span> <span class="n">density</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">means_1</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'1'</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'red'</span><span class="p">,</span> <span class="n">density</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Mean Image Intensity Distribution'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Mean Pixel Intensity'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'Density'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 200/200 [00:04<00:00, 41.99it/s] +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div 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+</div> +</div> +</div> +</div> +</div> +<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=50ef5bae-b32c-481e-ae16-51aaeb9684d5"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> +<h2 id="Data-cleaning-and-processing">Data cleaning and processing<a class="anchor-link" href="#Data-cleaning-and-processing">¶</a></h2><p>The data seems clean. The formats and dimensions are consistent across the dataset, and there are no missing or duplicate IDs between the two sets.</p> +<p>But some processing is still required. The most important steps are:</p> +<ol> +<li>Notice that the distribution of the training and test samples is not equal. Whereever possible, try to take an equal number of samples from each to produce a balanced model while training.</li> +<li>The value in each pixel ranges from 0 to 255. To get faster and better training, rescale to a range of 0 to 1.</li> +<li>Add some modifications to the training dataset - rotations, shifts, flips and zooms. This helps increase the adaptability of the trained model.</li> +<li>Note that another label column with a value type of string was created, as this allows the model to be specified as binary.</li> +</ol> +<p>From the inspection of the images, it can be persumed that the colour information will be important in the analyses. The colours were therefore kept as is.</p> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=6f214b8a"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Convert labels to strings for the generator</span> +<span class="n">train_labels</span><span class="p">[</span><span class="s1">'label_str'</span><span class="p">]</span> <span class="o">=</span> <span class="n">train_labels</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span> + +<span class="c1"># Prepare a subset for hyperparameter tuning</span> +<span class="n">tuning_subset</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span> + <span class="n">train_labels</span><span class="p">[</span><span class="n">train_labels</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="mi">5000</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">),</span> + <span class="n">train_labels</span><span class="p">[</span><span class="n">train_labels</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="mi">5000</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span> +<span class="p">])</span> + +<span class="c1"># Split into train and validation</span> +<span class="n">train_df</span><span class="p">,</span> <span class="n">val_df</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span> + <span class="n">tuning_subset</span><span class="p">,</span> + <span class="n">test_size</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> + <span class="n">stratify</span><span class="o">=</span><span class="n">tuning_subset</span><span class="p">[</span><span class="s1">'label'</span><span class="p">],</span> + <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span> +<span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=1582f70f"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Prepare data generators - use class_mode='binary' with string labels</span> +<span class="n">datagen</span> <span class="o">=</span> <span class="n">ImageDataGenerator</span><span class="p">(</span> + <span class="n">rescale</span><span class="o">=</span><span class="mf">1.</span><span class="o">/</span><span class="mi">255</span><span class="p">,</span> + <span class="n">rotation_range</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span> + <span class="n">width_shift_range</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> + <span class="n">height_shift_range</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> + <span class="n">horizontal_flip</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> + <span class="n">vertical_flip</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> + <span class="n">zoom_range</span><span class="o">=</span><span class="mf">0.1</span> +<span class="p">)</span> + +<span class="c1"># Create data generators using the path column and string labels</span> +<span class="n">train_generator</span> <span class="o">=</span> <span class="n">datagen</span><span class="o">.</span><span class="n">flow_from_dataframe</span><span class="p">(</span> + <span class="n">dataframe</span><span class="o">=</span><span class="n">train_df</span><span class="p">,</span> + <span class="n">x_col</span><span class="o">=</span><span class="s1">'path'</span><span class="p">,</span> + <span class="n">y_col</span><span class="o">=</span><span class="s1">'label_str'</span><span class="p">,</span> + <span class="n">target_size</span><span class="o">=</span><span class="p">(</span><span class="n">IMG_SIZE</span><span class="p">,</span> <span class="n">IMG_SIZE</span><span class="p">),</span> + <span class="n">batch_size</span><span class="o">=</span><span class="n">BATCH_SIZE</span><span class="p">,</span> + <span class="n">class_mode</span><span class="o">=</span><span class="s1">'binary'</span> +<span class="p">)</span> + +<span class="n">val_generator</span> <span class="o">=</span> <span class="n">datagen</span><span class="o">.</span><span class="n">flow_from_dataframe</span><span class="p">(</span> + <span class="n">dataframe</span><span class="o">=</span><span class="n">val_df</span><span class="p">,</span> + <span class="n">x_col</span><span class="o">=</span><span class="s1">'path'</span><span class="p">,</span> + <span class="n">y_col</span><span class="o">=</span><span class="s1">'label_str'</span><span class="p">,</span> + <span class="n">target_size</span><span class="o">=</span><span class="p">(</span><span class="n">IMG_SIZE</span><span class="p">,</span> <span class="n">IMG_SIZE</span><span class="p">),</span> + <span class="n">batch_size</span><span class="o">=</span><span class="n">BATCH_SIZE</span><span class="p">,</span> + <span class="n">class_mode</span><span class="o">=</span><span class="s1">'binary'</span><span class="p">,</span> + <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span> +<span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre>Found 8000 validated image filenames belonging to 2 classes. +Found 2000 validated image filenames belonging to 2 classes. +</pre> +</div> +</div> +</div> +</div> +</div> +<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=3725c48c-b147-45a6-bcf5-7f5d592208fa"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> +<h2 id="Model-architecture">Model architecture<a class="anchor-link" href="#Model-architecture">¶</a></h2><p>Based on the complexity of the data, I believe a deep/wide architecture would be more effective than a simpler one. In order to be sure however, I created a function flexible enough to allow the testing of different architectures and regularization methods.</p> +<h3 id="Plan-of-attack">Plan of attack<a class="anchor-link" href="#Plan-of-attack">¶</a></h3><p>First of all, three architectures will be tested: simple, deeper, and wider.</p> +<p>The best performing of these three will have its regularization tuned and used for submission.</p> +<p>For architecture selection and regularization tuning, a smaller dataset and number of epochs will be used to make the process faster. +Once a combination is chosen, it will be trained on the bigger dataset before submission.</p> +<h3 id="Techniques-used-to-improve-the-training">Techniques used to improve the training<a class="anchor-link" href="#Techniques-used-to-improve-the-training">¶</a></h3><p>So as not to have to retrain the models each time the notebook was re-run, I decided to use the callback ModelCheckpoint. The callback would save the best-performing model on-disk and reload it as needed.</p> +<p>This approach had another pleasant effect. Previously, the fluctuations in the validation scores meant that a fair comparison between the different models was impractical. However, by choosing the best performing epoch of each model, a much more fair comparison was possible, and it worked splendidly.</p> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=346f05cc"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Single flexible function to create CNN models with different architectures and regularization</span> +<span class="k">def</span><span class="w"> </span><span class="nf">create_cnn_model</span><span class="p">(</span><span class="n">architecture</span><span class="o">=</span><span class="s1">'deeper'</span><span class="p">,</span> <span class="n">regularization</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">reg_strength</span><span class="o">=</span><span class="mf">.001</span><span class="p">,</span> + <span class="n">dropout_rate</span><span class="o">=</span><span class="mf">.5</span><span class="p">,</span> <span class="n">additional_dropout</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">additional_bn</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span> +<span class="w"> </span><span class="sd">"""</span> +<span class="sd"> Create a CNN model with specified architecture and regularization.</span> + +<span class="sd"> Parameters:</span> +<span class="sd"> - architecture: 'simple', 'deeper', or 'wider'</span> +<span class="sd"> - regularization: None, 'l1', 'l2', 'l1_l2'</span> +<span class="sd"> - reg_strength: regularization strength</span> +<span class="sd"> - dropout_rate: dropout rate for dense layers</span> +<span class="sd"> - additional_dropout: whether to add dropout after convolutional layers</span> +<span class="sd"> - additional_bn: whether to add additional batch normalization layers</span> + +<span class="sd"> Returns:</span> +<span class="sd"> - Compiled Keras model</span> +<span class="sd"> """</span> + + <span class="c1"># Define regularization function</span> + <span class="k">if</span> <span class="n">regularization</span> <span class="o">==</span> <span class="s1">'l1'</span><span class="p">:</span> + <span class="n">reg</span> <span class="o">=</span> <span class="n">l1</span><span class="p">(</span><span class="n">reg_strength</span><span class="p">)</span> + <span class="k">elif</span> <span class="n">regularization</span> <span class="o">==</span> <span class="s1">'l2'</span><span class="p">:</span> + <span class="n">reg</span> <span class="o">=</span> <span class="n">l2</span><span class="p">(</span><span class="n">reg_strength</span><span class="p">)</span> + <span class="k">elif</span> <span class="n">regularization</span> <span class="o">==</span> <span class="s1">'l1_l2'</span><span class="p">:</span> + <span class="n">reg</span> <span class="o">=</span> <span class="n">l1_l2</span><span class="p">(</span><span class="n">l1</span><span class="o">=</span><span class="n">reg_strength</span><span class="o">/</span><span class="mi">2</span><span class="p">,</span> <span class="n">l2</span><span class="o">=</span><span class="n">reg_strength</span><span class="o">/</span><span class="mi">2</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> <span class="c1"># 'none'</span> + <span class="n">reg</span> <span class="o">=</span> <span class="kc">None</span> + + <span class="c1"># Define architecture parameters</span> + <span class="k">if</span> <span class="n">architecture</span> <span class="o">==</span> <span class="s1">'simple'</span><span class="p">:</span> + <span class="n">conv_layers</span> <span class="o">=</span> <span class="p">[</span> + <span class="p">(</span><span class="mi">32</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="c1"># (filters, kernel_size)</span> + <span class="p">(</span><span class="mi">64</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span> + <span class="p">]</span> + <span class="n">dense_units</span> <span class="o">=</span> <span class="mi">64</span> + <span class="k">elif</span> <span class="n">architecture</span> <span class="o">==</span> <span class="s1">'deeper'</span><span class="p">:</span> + <span class="n">conv_layers</span> <span class="o">=</span> <span class="p">[</span> + <span class="p">(</span><span class="mi">32</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> + <span class="p">(</span><span class="mi">64</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> + <span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span> + <span class="p">]</span> + <span class="n">dense_units</span> <span class="o">=</span> <span class="mi">128</span> + <span class="k">elif</span> <span class="n">architecture</span> <span class="o">==</span> <span class="s1">'wider'</span><span class="p">:</span> + <span class="n">conv_layers</span> <span class="o">=</span> <span class="p">[</span> + <span class="p">(</span><span class="mi">64</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> + <span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> + <span class="p">(</span><span class="mi">256</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span> + <span class="p">]</span> + <span class="n">dense_units</span> <span class="o">=</span> <span class="mi">256</span> + <span class="k">else</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Architecture must be 'simple', 'deeper', or 'wider'"</span><span class="p">)</span> + + <span class="c1"># Build the model</span> + <span class="n">model</span> <span class="o">=</span> <span class="n">Sequential</span><span class="p">()</span> + + <span class="c1"># Input layer</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Conv2D</span><span class="p">(</span><span class="n">conv_layers</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="p">(</span><span class="n">conv_layers</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span> <span class="n">conv_layers</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">]),</span> + <span class="n">activation</span><span class="o">=</span><span class="s1">'relu'</span><span class="p">,</span> <span class="n">input_shape</span><span class="o">=</span><span class="p">(</span><span class="n">IMG_SIZE</span><span class="p">,</span> <span class="n">IMG_SIZE</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> + <span class="n">kernel_regularizer</span><span class="o">=</span><span class="n">reg</span><span class="p">))</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">BatchNormalization</span><span class="p">())</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">MaxPooling2D</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span> + + <span class="k">if</span> <span class="n">additional_dropout</span><span class="p">:</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.2</span><span class="p">))</span> + <span class="k">if</span> <span class="n">additional_bn</span><span class="p">:</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">BatchNormalization</span><span class="p">())</span> + + <span class="c1"># Additional convolutional layers</span> + <span class="k">for</span> <span class="n">filters</span><span class="p">,</span> <span class="n">kernel_size</span> <span class="ow">in</span> <span class="n">conv_layers</span><span class="p">[</span><span class="mi">1</span><span class="p">:]:</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Conv2D</span><span class="p">(</span><span class="n">filters</span><span class="p">,</span> <span class="p">(</span><span class="n">kernel_size</span><span class="p">,</span> <span class="n">kernel_size</span><span class="p">),</span> + <span class="n">activation</span><span class="o">=</span><span class="s1">'relu'</span><span class="p">,</span> <span class="n">kernel_regularizer</span><span class="o">=</span><span class="n">reg</span><span class="p">))</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">BatchNormalization</span><span class="p">())</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">MaxPooling2D</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span> + + <span class="k">if</span> <span class="n">additional_dropout</span><span class="p">:</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.2</span><span class="p">))</span> + <span class="k">if</span> <span class="n">additional_bn</span><span class="p">:</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">BatchNormalization</span><span class="p">())</span> + + <span class="c1"># Dense layers</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Flatten</span><span class="p">())</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="n">dense_units</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">'relu'</span><span class="p">,</span> <span class="n">kernel_regularizer</span><span class="o">=</span><span class="n">reg</span><span class="p">))</span> + + <span class="k">if</span> <span class="n">additional_bn</span><span class="p">:</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">BatchNormalization</span><span class="p">())</span> + + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dropout</span><span class="p">(</span><span class="n">dropout_rate</span><span class="p">))</span> + <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">'sigmoid'</span><span class="p">))</span> + + <span class="c1"># Compile the model</span> + <span class="n">model</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="n">optimizer</span><span class="o">=</span><span class="s1">'adam'</span><span class="p">,</span> + <span class="n">loss</span><span class="o">=</span><span class="s1">'binary_crossentropy'</span><span class="p">,</span> + <span class="n">metrics</span><span class="o">=</span><span class="p">[</span><span class="s1">'accuracy'</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">AUC</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'auc'</span><span class="p">)])</span> + + <span class="k">return</span> <span class="n">model</span> +</pre></div> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=4cb1c472"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [14]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Test different model architectures</span> +<span class="n">arch_models</span> <span class="o">=</span> <span class="p">[</span> + <span class="p">{</span> + <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"Simple CNN"</span><span class="p">,</span> + <span class="s2">"params"</span><span class="p">:</span> <span class="p">{</span> <span class="s1">'architecture'</span><span class="p">:</span> <span class="s1">'simple'</span><span class="p">,</span> <span class="p">},</span> + <span class="p">},</span> + <span class="p">{</span> + <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"Deeper CNN"</span><span class="p">,</span> + <span class="s2">"params"</span><span class="p">:</span> <span class="p">{</span> <span class="s1">'architecture'</span><span class="p">:</span> <span class="s1">'deeper'</span><span class="p">,</span> <span class="p">},</span> + <span class="p">},</span> + <span class="p">{</span> + <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"Wider CNN"</span><span class="p">,</span> + <span class="s2">"params"</span><span class="p">:</span> <span class="p">{</span> <span class="s1">'architecture'</span><span class="p">:</span> <span class="s1">'wider'</span><span class="p">,</span> <span class="p">},</span> + <span class="p">},</span> +<span class="p">]</span> + +<span class="c1"># Create directories for checkpoints and histories</span> +<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="s2">"checkpoints"</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> +<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="s2">"histories"</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> + +<span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="n">arch_models</span><span class="p">:</span> + <span class="n">model</span><span class="p">[</span><span class="s2">"checkpoint"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">"checkpoints"</span><span class="p">,</span> <span class="s2">"</span><span class="si">%s</span><span class="s2">.keras"</span> <span class="o">%</span> <span class="n">model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span> + <span class="n">model</span><span class="p">[</span><span class="s2">"history_file"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">"histories"</span><span class="p">,</span> <span class="s2">"</span><span class="si">%s</span><span class="s2">.csv"</span> <span class="o">%</span> <span class="n">model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span> +</pre></div> +</div> +</div> +</div> +</div> +</div># Train each model architecture +# This cell can be left without running if the checkpoint files are available +for model in arch_models: + print("\nTraining %s..." % model["name"]) + + model_instance = create_cnn_model(**model["params"]) + + # Callbacks + early_stopping = EarlyStopping(monitor='val_auc', patience=5, restore_best_weights=True, mode='max') + reduce_lr = ReduceLROnPlateau(monitor='val_auc', factor=.5, patience=3, min_lr=1e-7, mode='max') + model_checkpoint = ModelCheckpoint(model["checkpoint"], save_best_only=True, monitor='val_auc', mode='max') + hist_logger = CSVLogger(model["history_file"]) + + # Reset generators to ensure consistent training across models + train_generator.reset() + val_generator.reset() + + model_instance.fit( + train_generator, + epochs=15, # Fewer epochs for tuning + validation_data=val_generator, + callbacks=[early_stopping, reduce_lr, model_checkpoint, hist_logger], + verbose=1 + )<div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=bab8726d"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [15]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Load and evaluate each model</span> +<span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="n">arch_models</span><span class="p">:</span> + <span class="n">model</span><span class="p">[</span><span class="s2">"instance"</span><span class="p">]</span> <span class="o">=</span> <span class="n">load_model</span><span class="p">(</span><span class="n">model</span><span class="p">[</span><span class="s2">"checkpoint"</span><span class="p">])</span> + + <span class="c1"># Evaluate the model</span> + <span class="n">val_generator</span><span class="o">.</span><span class="n">reset</span><span class="p">()</span> + <span class="n">val_preds</span> <span class="o">=</span> <span class="n">model</span><span class="p">[</span><span class="s2">"instance"</span><span class="p">]</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">val_generator</span><span class="p">)</span> + <span class="n">model</span><span class="p">[</span><span class="s2">"auc"</span><span class="p">]</span> <span class="o">=</span> <span class="n">roc_auc_score</span><span class="p">(</span><span class="n">val_generator</span><span class="o">.</span><span class="n">classes</span><span class="p">,</span> <span class="n">val_preds</span><span class="p">)</span> + + <span class="n">model</span><span class="p">[</span><span class="s2">"history"</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">model</span><span class="p">[</span><span class="s2">"history_file"</span><span class="p">],</span> <span class="n">sep</span><span class="o">=</span><span class="s1">','</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">'python'</span><span class="p">)</span> + + <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">%s</span><span class="s2"> Validation AUC: </span><span class="si">%.4f</span><span class="s2">"</span> <span class="o">%</span> <span class="p">(</span><span class="n">model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span> <span class="n">model</span><span class="p">[</span><span class="s2">"auc"</span><span class="p">]))</span> + +<span class="n">arch_models_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">arch_models</span><span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>WARNING: All log messages before absl::InitializeLog() is called are written to STDERR +I0000 00:00:1757490264.572239 1667087 gpu_device.cc:2020] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 3546 MB memory: -> device: 0, name: NVIDIA GeForce GTX 1660 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5 +/home/farzat/files/University/Colorado/courses/csca5632=unsupervised-algorithms-in-machine-learning/reviews/venv/lib/python3.13/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:121: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored. + self._warn_if_super_not_called() +2025-09-10 10:44:25.930818: I external/local_xla/xla/service/service.cc:163] XLA service 0x7f0bfc0044c0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: +2025-09-10 10:44:25.930853: I external/local_xla/xla/service/service.cc:171] StreamExecutor device (0): NVIDIA GeForce GTX 1660 Ti, Compute Capability 7.5 +2025-09-10 10:44:25.941837: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable. +2025-09-10 10:44:25.990517: I external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:473] Loaded cuDNN version 91200 +2025-09-10 10:44:26.179768: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[64,32,94,94]{3,2,1,0}, u8[0]{0}) custom-call(f32[64,3,96,96]{3,2,1,0}, f32[32,3,3,3]{3,2,1,0}, f32[32]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +2025-09-10 10:44:26.263880: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[64,64,45,45]{3,2,1,0}, u8[0]{0}) custom-call(f32[64,32,47,47]{3,2,1,0}, f32[64,32,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold"> 3/32</span> <span class="ansi-green-fg">━</span><span class="ansi-white-fg">━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">1s</span> 60ms/step </pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>I0000 00:00:1757490266.659969 1673357 device_compiler.h:196] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process. +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold">31/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━</span><span class="ansi-white-fg">━</span> <span class="ansi-bold">0s</span> 110ms/step</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>2025-09-10 10:44:30.161400: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[16,32,94,94]{3,2,1,0}, u8[0]{0}) custom-call(f32[16,3,96,96]{3,2,1,0}, f32[32,3,3,3]{3,2,1,0}, f32[32]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +2025-09-10 10:44:30.182667: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[16,64,45,45]{3,2,1,0}, u8[0]{0}) custom-call(f32[16,32,47,47]{3,2,1,0}, f32[64,32,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold">32/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">5s</span> 124ms/step +Simple CNN Validation AUC: 0.9180 +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>2025-09-10 10:44:31.373871: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[64,128,20,20]{3,2,1,0}, u8[0]{0}) custom-call(f32[64,64,22,22]{3,2,1,0}, f32[128,64,3,3]{3,2,1,0}, f32[128]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold">31/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━</span><span class="ansi-white-fg">━</span> <span class="ansi-bold">0s</span> 114ms/step</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>2025-09-10 10:44:35.371030: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[16,128,20,20]{3,2,1,0}, u8[0]{0}) custom-call(f32[16,64,22,22]{3,2,1,0}, f32[128,64,3,3]{3,2,1,0}, f32[128]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold">32/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">5s</span> 128ms/step +Deeper CNN Validation AUC: 0.9331 +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>2025-09-10 10:44:36.712315: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[64,64,94,94]{3,2,1,0}, u8[0]{0}) custom-call(f32[64,3,96,96]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +2025-09-10 10:44:36.763213: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[64,128,45,45]{3,2,1,0}, u8[0]{0}) custom-call(f32[64,64,47,47]{3,2,1,0}, f32[128,64,3,3]{3,2,1,0}, f32[128]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +2025-09-10 10:44:37.126469: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[64,256,20,20]{3,2,1,0}, u8[0]{0}) custom-call(f32[64,128,22,22]{3,2,1,0}, f32[256,128,3,3]{3,2,1,0}, f32[256]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold">31/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━</span><span class="ansi-white-fg">━</span> <span class="ansi-bold">0s</span> 112ms/step</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>2025-09-10 10:44:41.276678: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[16,64,94,94]{3,2,1,0}, u8[0]{0}) custom-call(f32[16,3,96,96]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +2025-09-10 10:44:41.298269: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[16,128,45,45]{3,2,1,0}, u8[0]{0}) custom-call(f32[16,64,47,47]{3,2,1,0}, f32[128,64,3,3]{3,2,1,0}, f32[128]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +2025-09-10 10:44:41.421979: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[16,256,20,20]{3,2,1,0}, u8[0]{0}) custom-call(f32[16,128,22,22]{3,2,1,0}, f32[256,128,3,3]{3,2,1,0}, f32[256]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold">32/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">6s</span> 134ms/step +Wider CNN Validation AUC: 0.9239 +</pre> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=8c9d0720"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [16]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Compare model performance</span> +<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span> + +<span class="n">bars</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">arch_models_df</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span> <span class="n">arch_models_df</span><span class="p">[</span><span class="s2">"auc"</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="p">[</span><span class="s1">'skyblue'</span><span class="p">,</span> <span class="s1">'lightgreen'</span><span class="p">,</span> <span class="s1">'lightcoral'</span><span class="p">])</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Model Comparison - Validation AUC Scores'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'AUC Score'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="mf">.7</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span> + +<span class="c1"># Add value labels on bars</span> +<span class="k">for</span> <span class="n">bar</span><span class="p">,</span> <span class="n">score</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">bars</span><span class="p">,</span> <span class="n">arch_models_df</span><span class="p">[</span><span class="s2">"auc"</span><span class="p">]):</span> + <span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">bar</span><span class="o">.</span><span class="n">get_x</span><span class="p">()</span> <span class="o">+</span> <span class="n">bar</span><span class="o">.</span><span class="n">get_width</span><span class="p">()</span><span class="o">/</span><span class="mi">2</span><span class="p">,</span> <span class="n">bar</span><span class="o">.</span><span class="n">get_height</span><span class="p">()</span> <span class="o">+</span> <span class="mf">.005</span><span class="p">,</span> + <span class="s1">'</span><span class="si">%.4f</span><span class="s1">'</span> <span class="o">%</span> <span class="n">score</span><span class="p">,</span> <span class="n">ha</span><span class="o">=</span><span class="s1">'center'</span><span class="p">,</span> <span class="n">va</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">)</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0"> +<img alt="No description has been provided for this image" class="" 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"/> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a474fa81"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [17]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Plot training history for the best model</span> +<span class="n">arch_best_model</span> <span class="o">=</span> <span class="n">arch_models</span><span class="p">[</span><span class="n">arch_models_df</span><span class="o">.</span><span class="n">auc</span><span class="o">.</span><span class="n">idxmax</span><span class="p">()]</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">arch_best_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'accuracy'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Training Accuracy'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">arch_best_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'val_accuracy'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Validation Accuracy'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'</span><span class="si">%s</span><span class="s1"> - Accuracy'</span> <span class="o">%</span> <span class="n">arch_best_model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Epoch'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'Accuracy'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">arch_best_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'loss'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Training Loss'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">arch_best_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'val_loss'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Validation Loss'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'</span><span class="si">%s</span><span class="s1"> - Loss'</span> <span class="o">%</span> <span class="n">arch_best_model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Epoch'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'Loss'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">arch_best_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'auc'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Training AUC'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">arch_best_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'val_auc'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Validation AUC'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'</span><span class="si">%s</span><span class="s1"> - AUC'</span> <span class="o">%</span> <span class="n">arch_best_model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Epoch'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'AUC'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> 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"/> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=9e1f77ed"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [18]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Test different regularization methods on the best architecture</span> +<span class="n">best_architecture</span> <span class="o">=</span> <span class="n">arch_best_model</span><span class="p">[</span><span class="s2">"params"</span><span class="p">][</span><span class="s2">"architecture"</span><span class="p">]</span> + +<span class="n">reg_models</span> <span class="o">=</span> <span class="p">[</span> + <span class="p">{</span> + <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"Original (No Reg)"</span><span class="p">,</span> + <span class="s2">"params"</span><span class="p">:</span> <span class="p">{</span><span class="s1">'architecture'</span><span class="p">:</span> <span class="n">best_architecture</span><span class="p">,</span> <span class="s1">'regularization'</span><span class="p">:</span> <span class="kc">None</span><span class="p">}</span> + <span class="p">},</span> + <span class="p">{</span> + <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"L2 Regularization"</span><span class="p">,</span> + <span class="s2">"params"</span><span class="p">:</span> <span class="p">{</span><span class="s1">'architecture'</span><span class="p">:</span> <span class="n">best_architecture</span><span class="p">,</span> <span class="s1">'regularization'</span><span class="p">:</span> <span class="s1">'l2'</span><span class="p">,</span> <span class="s1">'reg_strength'</span><span class="p">:</span> <span class="mf">0.001</span><span class="p">}</span> + <span class="p">},</span> + <span class="p">{</span> + <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"L1 Regularization"</span><span class="p">,</span> + <span class="s2">"params"</span><span class="p">:</span> <span class="p">{</span><span class="s1">'architecture'</span><span class="p">:</span> <span class="n">best_architecture</span><span class="p">,</span> <span class="s1">'regularization'</span><span class="p">:</span> <span class="s1">'l1'</span><span class="p">,</span> <span class="s1">'reg_strength'</span><span class="p">:</span> <span class="mf">0.001</span><span class="p">}</span> + <span class="p">},</span> + <span class="p">{</span> + <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"Elastic Net (L1+L2)"</span><span class="p">,</span> + <span class="s2">"params"</span><span class="p">:</span> <span class="p">{</span><span class="s1">'architecture'</span><span class="p">:</span> <span class="n">best_architecture</span><span class="p">,</span> <span class="s1">'regularization'</span><span class="p">:</span> <span class="s1">'l1_l2'</span><span class="p">,</span> <span class="s1">'reg_strength'</span><span class="p">:</span> <span class="mf">0.001</span><span class="p">}</span> + <span class="p">},</span> + <span class="p">{</span> + <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"Increased Dropout"</span><span class="p">,</span> + <span class="s2">"params"</span><span class="p">:</span> <span class="p">{</span><span class="s1">'architecture'</span><span class="p">:</span> <span class="n">best_architecture</span><span class="p">,</span> <span class="s1">'regularization'</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span> + <span class="s1">'dropout_rate'</span><span class="p">:</span> <span class="mf">0.6</span><span class="p">,</span> <span class="s1">'additional_dropout'</span><span class="p">:</span> <span class="kc">True</span><span class="p">}</span> + <span class="p">},</span> + <span class="p">{</span> + <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"Additional BatchNorm"</span><span class="p">,</span> + <span class="s2">"params"</span><span class="p">:</span> <span class="p">{</span><span class="s1">'architecture'</span><span class="p">:</span> <span class="n">best_architecture</span><span class="p">,</span> <span class="s1">'regularization'</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span> + <span class="s1">'additional_bn'</span><span class="p">:</span> <span class="kc">True</span><span class="p">}</span> + <span class="p">}</span> +<span class="p">]</span> + +<span class="c1"># Create checkpoints and history files for each regularization model</span> +<span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="n">reg_models</span><span class="p">:</span> + <span class="n">model</span><span class="p">[</span><span class="s2">"checkpoint"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">"checkpoints"</span><span class="p">,</span> <span class="s2">"</span><span class="si">%s</span><span class="s2"> </span><span class="si">%s</span><span class="s2">.keras"</span> <span class="o">%</span> <span class="p">(</span><span class="n">best_architecture</span><span class="p">,</span> <span class="n">model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">]))</span> + <span class="n">model</span><span class="p">[</span><span class="s2">"history_file"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">"histories"</span><span class="p">,</span> <span class="s2">"</span><span class="si">%s</span><span class="s2"> </span><span class="si">%s</span><span class="s2">.csv"</span> <span class="o">%</span> <span class="p">(</span><span class="n">best_architecture</span><span class="p">,</span> <span class="n">model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">]))</span> +</pre></div> +</div> +</div> +</div> +</div> +</div># Train each regularization model +# This cell can be left without running if the checkpoint files are available +for model in reg_models: + print("\nTraining %s..." % model["name"]) + + model_instance = create_cnn_model(**model["params"]) + + # Callbacks + early_stopping = EarlyStopping(monitor='val_auc', patience=5, restore_best_weights=True, mode='max') + reduce_lr = ReduceLROnPlateau(monitor='val_auc', factor=.5, patience=3, min_lr=1e-7, mode='max') + model_checkpoint = ModelCheckpoint(model["checkpoint"], save_best_only=True, monitor='val_auc', mode='max') + hist_logger = CSVLogger(model["history_file"]) + + # Reset generators to ensure consistent training + train_generator.reset() + val_generator.reset() + + model_instance.fit( + train_generator, + epochs=15, + validation_data=val_generator, + callbacks=[early_stopping, reduce_lr, model_checkpoint, hist_logger], + verbose=1 + )<div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=bae3cb6f"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [19]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Load and evaluate each regularization model</span> +<span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="n">reg_models</span><span class="p">:</span> + <span class="n">model</span><span class="p">[</span><span class="s2">"instance"</span><span class="p">]</span> <span class="o">=</span> <span class="n">load_model</span><span class="p">(</span><span class="n">model</span><span class="p">[</span><span class="s2">"checkpoint"</span><span class="p">])</span> + + <span class="c1"># Evaluate the model</span> + <span class="n">val_generator</span><span class="o">.</span><span class="n">reset</span><span class="p">()</span> + <span class="n">val_preds</span> <span class="o">=</span> <span class="n">model</span><span class="p">[</span><span class="s2">"instance"</span><span class="p">]</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">val_generator</span><span class="p">)</span> + <span class="n">model</span><span class="p">[</span><span class="s2">"auc"</span><span class="p">]</span> <span class="o">=</span> <span class="n">roc_auc_score</span><span class="p">(</span><span class="n">val_generator</span><span class="o">.</span><span class="n">classes</span><span class="p">,</span> <span class="n">val_preds</span><span class="p">)</span> + + <span class="n">model</span><span class="p">[</span><span class="s2">"history"</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">model</span><span class="p">[</span><span class="s2">"history_file"</span><span class="p">],</span> <span class="n">sep</span><span class="o">=</span><span class="s1">','</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">'python'</span><span class="p">)</span> + + <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">%s</span><span class="s2"> Validation AUC: </span><span class="si">%.4f</span><span class="s2">"</span> <span class="o">%</span> <span class="p">(</span><span class="n">model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span> <span class="n">model</span><span class="p">[</span><span class="s2">"auc"</span><span class="p">]))</span> + +<span class="n">reg_models_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">reg_models</span><span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold">32/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">4s</span> 122ms/step +Original (No Reg) Validation AUC: 0.9258 +<span class="ansi-bold">32/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">4s</span> 118ms/step +L2 Regularization Validation AUC: 0.9247 +<span class="ansi-bold">32/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">5s</span> 129ms/step +L1 Regularization Validation AUC: 0.9083 +<span class="ansi-bold">32/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">5s</span> 127ms/step +Elastic Net (L1+L2) Validation AUC: 0.9103 +<span class="ansi-bold">32/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">4s</span> 121ms/step +Increased Dropout Validation AUC: 0.9122 +<span class="ansi-bold">32/32</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">4s</span> 123ms/step +Additional BatchNorm Validation AUC: 0.9327 +</pre> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=ec1dba65"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [20]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Compare regularization methods</span> +<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span> + +<span class="n">bars</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">reg_models_df</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span> <span class="n">reg_models_df</span><span class="p">[</span><span class="s2">"auc"</span><span class="p">],</span> + <span class="n">color</span><span class="o">=</span><span class="p">[</span><span class="s1">'skyblue'</span><span class="p">,</span> <span class="s1">'lightgreen'</span><span class="p">,</span> <span class="s1">'lightcoral'</span><span class="p">,</span> <span class="s1">'gold'</span><span class="p">,</span> <span class="s1">'lightpink'</span><span class="p">,</span> <span class="s1">'lightseagreen'</span><span class="p">])</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Regularization Methods Comparison - Validation AUC Scores'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'AUC Score'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">rotation</span><span class="o">=</span><span class="mi">45</span><span class="p">,</span> <span class="n">ha</span><span class="o">=</span><span class="s1">'right'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span> + +<span class="c1"># Add value labels on bars</span> +<span class="k">for</span> <span class="n">bar</span><span class="p">,</span> <span class="n">score</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">bars</span><span class="p">,</span> <span class="n">reg_models_df</span><span class="p">[</span><span class="s2">"auc"</span><span class="p">]):</span> + <span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">bar</span><span class="o">.</span><span class="n">get_x</span><span class="p">()</span> <span class="o">+</span> <span class="n">bar</span><span class="o">.</span><span class="n">get_width</span><span class="p">()</span><span class="o">/</span><span class="mi">2</span><span class="p">,</span> <span class="n">bar</span><span class="o">.</span><span class="n">get_height</span><span class="p">()</span> <span class="o">+</span> <span class="mf">0.005</span><span class="p">,</span> + <span class="s1">'</span><span class="si">%.4f</span><span class="s1">'</span> <span class="o">%</span> <span class="n">score</span><span class="p">,</span> <span class="n">ha</span><span class="o">=</span><span class="s1">'center'</span><span class="p">,</span> <span class="n">va</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">)</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="c1"># Find the best regularization method</span> +<span class="n">best_reg_model</span> <span class="o">=</span> <span class="n">reg_models</span><span class="p">[</span><span class="n">reg_models_df</span><span class="o">.</span><span class="n">auc</span><span class="o">.</span><span class="n">idxmax</span><span class="p">()]</span> +<span class="n">best_reg_method</span> <span class="o">=</span> <span class="n">best_reg_model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">]</span> + +<span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">Best regularization method: </span><span class="si">%s</span><span class="s2"> with AUC: </span><span class="si">%.4f</span><span class="s2">"</span> <span class="o">%</span> <span class="p">(</span><span class="n">best_reg_method</span><span class="p">,</span> <span class="n">best_reg_model</span><span class="p">[</span><span class="s1">'auc'</span><span class="p">]))</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0"> +<img alt="No description has been provided for this image" class="" 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"/> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre> +Best regularization method: Additional BatchNorm with AUC: 0.9327 +</pre> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=f6797878"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [21]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Plot training curves for the best regularization method</span> +<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">best_reg_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'accuracy'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Training Accuracy'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">best_reg_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'val_accuracy'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Validation Accuracy'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'</span><span class="si">%s</span><span class="s1"> - Accuracy'</span> <span class="o">%</span> <span class="n">best_reg_model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Epoch'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'Accuracy'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">best_reg_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'loss'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Training Loss'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">best_reg_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'val_loss'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Validation Loss'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'</span><span class="si">%s</span><span class="s1"> - Loss'</span> <span class="o">%</span> <span class="n">best_reg_model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Epoch'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'Loss'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">best_reg_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'auc'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Training AUC'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">best_reg_model</span><span class="p">[</span><span class="s1">'history'</span><span class="p">][</span><span class="s1">'val_auc'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Validation AUC'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'</span><span class="si">%s</span><span class="s1"> - AUC'</span> <span class="o">%</span> <span class="n">best_reg_model</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Epoch'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'AUC'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser 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"/> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=49e4953e"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [22]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Train the best regularized model on the full dataset</span> +<span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">Training the best regularized model (</span><span class="si">%s</span><span class="s2">) on the full dataset..."</span> <span class="o">%</span> <span class="n">best_reg_method</span><span class="p">)</span> + +<span class="c1"># Prepare full data generators</span> +<span class="n">full_datagen</span> <span class="o">=</span> <span class="n">ImageDataGenerator</span><span class="p">(</span> + <span class="n">rescale</span><span class="o">=</span><span class="mf">1.</span><span class="o">/</span><span class="mi">255</span><span class="p">,</span> + <span class="n">validation_split</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> + <span class="n">rotation_range</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span> + <span class="n">width_shift_range</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> + <span class="n">height_shift_range</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> + <span class="n">horizontal_flip</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> + <span class="n">vertical_flip</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> + <span class="n">zoom_range</span><span class="o">=</span><span class="mf">0.1</span> +<span class="p">)</span> + +<span class="n">full_train_generator</span> <span class="o">=</span> <span class="n">full_datagen</span><span class="o">.</span><span class="n">flow_from_dataframe</span><span class="p">(</span> + <span class="n">dataframe</span><span class="o">=</span><span class="n">train_labels</span><span class="p">,</span> + <span class="n">x_col</span><span class="o">=</span><span class="s1">'path'</span><span class="p">,</span> + <span class="n">y_col</span><span class="o">=</span><span class="s1">'label_str'</span><span class="p">,</span> + <span class="n">target_size</span><span class="o">=</span><span class="p">(</span><span class="n">IMG_SIZE</span><span class="p">,</span> <span class="n">IMG_SIZE</span><span class="p">),</span> + <span class="n">batch_size</span><span class="o">=</span><span class="n">BATCH_SIZE</span><span class="p">,</span> + <span class="n">class_mode</span><span class="o">=</span><span class="s1">'binary'</span><span class="p">,</span> + <span class="n">subset</span><span class="o">=</span><span class="s1">'training'</span> +<span class="p">)</span> + +<span class="n">full_val_generator</span> <span class="o">=</span> <span class="n">full_datagen</span><span class="o">.</span><span class="n">flow_from_dataframe</span><span class="p">(</span> + <span class="n">dataframe</span><span class="o">=</span><span class="n">train_labels</span><span class="p">,</span> + <span class="n">x_col</span><span class="o">=</span><span class="s1">'path'</span><span class="p">,</span> + <span class="n">y_col</span><span class="o">=</span><span class="s1">'label_str'</span><span class="p">,</span> + <span class="n">target_size</span><span class="o">=</span><span class="p">(</span><span class="n">IMG_SIZE</span><span class="p">,</span> <span class="n">IMG_SIZE</span><span class="p">),</span> + <span class="n">batch_size</span><span class="o">=</span><span class="n">BATCH_SIZE</span><span class="p">,</span> + <span class="n">class_mode</span><span class="o">=</span><span class="s1">'binary'</span><span class="p">,</span> + <span class="n">subset</span><span class="o">=</span><span class="s1">'validation'</span><span class="p">,</span> + <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span> +<span class="p">)</span> + +<span class="c1"># Add callbacks for final training</span> +<span class="n">final_checkpoint</span> <span class="o">=</span> <span class="n">ModelCheckpoint</span><span class="p">(</span><span class="s2">"final_model.keras"</span><span class="p">,</span> <span class="n">save_best_only</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">monitor</span><span class="o">=</span><span class="s1">'val_auc'</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">'max'</span><span class="p">)</span> +<span class="n">final_csv_logger</span> <span class="o">=</span> <span class="n">CSVLogger</span><span class="p">(</span><span class="s2">"final_training_history.csv"</span><span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre> +Training the best regularized model (Additional BatchNorm) on the full dataset... +Found 176020 validated image filenames belonging to 2 classes. +Found 44005 validated image filenames belonging to 2 classes. +</pre> +</div> +</div> +</div> +</div> +</div># This cell can be left without running if the checkpoint files are available +# Create the best regularized model +final_model = create_cnn_model(**best_reg_model["params"]) + +# Train the final model +final_model.fit( + full_train_generator, + epochs=EPOCHS, + validation_data=full_val_generator, + callbacks=[early_stopping, reduce_lr, final_checkpoint, final_csv_logger], + verbose=1 +)<div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=20268973"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [23]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Load the best model from checkpoint</span> +<span class="n">final_model</span> <span class="o">=</span> <span class="n">load_model</span><span class="p">(</span><span class="s2">"final_model.keras"</span><span class="p">)</span> +<span class="n">final_history</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">"final_training_history.csv"</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">','</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">'python'</span><span class="p">)</span> + +<span class="c1"># Evaluate the final model</span> +<span class="n">final_val_preds</span> <span class="o">=</span> <span class="n">final_model</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">full_val_generator</span><span class="p">)</span> +<span class="n">final_val_labels</span> <span class="o">=</span> <span class="n">full_val_generator</span><span class="o">.</span><span class="n">classes</span> + +<span class="n">final_val_pred_classes</span> <span class="o">=</span> <span class="p">(</span><span class="n">final_val_preds</span> <span class="o">></span> <span class="mf">0.5</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span> +<span class="n">final_val_auc</span> <span class="o">=</span> <span class="n">roc_auc_score</span><span class="p">(</span><span class="n">final_val_labels</span><span class="p">,</span> <span class="n">final_val_preds</span><span class="p">)</span> + +<span class="nb">print</span><span class="p">(</span><span class="s2">"Final Model Validation AUC: </span><span class="si">%.4f</span><span class="s2">"</span> <span class="o">%</span> <span class="n">final_val_auc</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">Classification Report:"</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">classification_report</span><span class="p">(</span><span class="n">final_val_labels</span><span class="p">,</span> <span class="n">final_val_pred_classes</span><span class="p">))</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>/home/farzat/files/University/Colorado/courses/csca5632=unsupervised-algorithms-in-machine-learning/reviews/venv/lib/python3.13/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:121: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored. + self._warn_if_super_not_called() +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold">687/688</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━</span><span class="ansi-white-fg">━</span> <span class="ansi-bold">0s</span> 130ms/step</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>2025-09-10 10:46:45.955310: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[37,32,94,94]{3,2,1,0}, u8[0]{0}) custom-call(f32[37,3,96,96]{3,2,1,0}, f32[32,3,3,3]{3,2,1,0}, f32[32]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +2025-09-10 10:46:45.998388: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[37,64,45,45]{3,2,1,0}, u8[0]{0}) custom-call(f32[37,32,47,47]{3,2,1,0}, f32[64,32,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +2025-09-10 10:46:46.097799: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[37,128,20,20]{3,2,1,0}, u8[0]{0}) custom-call(f32[37,64,22,22]{3,2,1,0}, f32[128,64,3,3]{3,2,1,0}, f32[128]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold">688/688</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">91s</span> 131ms/step +Final Model Validation AUC: 0.9878 + +Classification Report: + precision recall f1-score support + + 0 0.95 0.97 0.96 26233 + 1 0.95 0.93 0.94 17772 + + accuracy 0.95 44005 + macro avg 0.95 0.95 0.95 44005 +weighted avg 0.95 0.95 0.95 44005 + +</pre> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=3047792e-12e7-42c5-bc0d-9cfcc7bf1833"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [24]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Plot training curves for the best regularization method</span> +<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">final_history</span><span class="p">[</span><span class="s1">'accuracy'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Training Accuracy'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">final_history</span><span class="p">[</span><span class="s1">'val_accuracy'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Validation Accuracy'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Final model - Accuracy'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Epoch'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'Accuracy'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">final_history</span><span class="p">[</span><span class="s1">'loss'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Training Loss'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">final_history</span><span class="p">[</span><span class="s1">'val_loss'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Validation Loss'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Final model - Loss'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Epoch'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'Loss'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">final_history</span><span class="p">[</span><span class="s1">'auc'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Training AUC'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">final_history</span><span class="p">[</span><span class="s1">'val_auc'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Validation AUC'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Final model - AUC'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Epoch'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'AUC'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> + +<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0"> +<img alt="No description has been provided for this image" class="" 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"/> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=318f3408"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [25]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Confusion matrix</span> +<span class="n">cm</span> <span class="o">=</span> <span class="n">confusion_matrix</span><span class="p">(</span><span class="n">final_val_labels</span><span class="p">,</span> <span class="n">final_val_pred_classes</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span> +<span class="n">sns</span><span class="o">.</span><span class="n">heatmap</span><span class="p">(</span><span class="n">cm</span><span class="p">,</span> <span class="n">annot</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">'d'</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Confusion Matrix - Final Model'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'True Label'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Predicted Label'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0"> +<img alt="No description has been provided for this image" class="" 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"/> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=c3a2c586"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [26]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Prepare test data for prediction</span> +<span class="n">test_files</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">listdir</span><span class="p">(</span><span class="n">TEST_DIR</span><span class="p">)</span> +<span class="n">test_ids</span> <span class="o">=</span> <span class="p">[</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">splitext</span><span class="p">(</span><span class="n">f</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">test_files</span><span class="p">]</span> +<span class="n">test_paths</span> <span class="o">=</span> <span class="p">[</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">TEST_DIR</span><span class="p">,</span> <span class="n">f</span><span class="p">)</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">test_files</span><span class="p">]</span> + +<span class="n">test_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span> + <span class="s1">'id'</span><span class="p">:</span> <span class="n">test_ids</span><span class="p">,</span> + <span class="s1">'path'</span><span class="p">:</span> <span class="n">test_paths</span> +<span class="p">})</span> + +<span class="n">test_datagen</span> <span class="o">=</span> <span class="n">ImageDataGenerator</span><span class="p">(</span><span class="n">rescale</span><span class="o">=</span><span class="mf">1.</span><span class="o">/</span><span class="mi">255</span><span class="p">)</span> + +<span class="n">test_generator</span> <span class="o">=</span> <span class="n">test_datagen</span><span class="o">.</span><span class="n">flow_from_dataframe</span><span class="p">(</span> + <span class="n">dataframe</span><span class="o">=</span><span class="n">test_df</span><span class="p">,</span> + <span class="n">x_col</span><span class="o">=</span><span class="s1">'path'</span><span class="p">,</span> + <span class="n">y_col</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> + <span class="n">target_size</span><span class="o">=</span><span class="p">(</span><span class="n">IMG_SIZE</span><span class="p">,</span> <span class="n">IMG_SIZE</span><span class="p">),</span> + <span class="n">batch_size</span><span class="o">=</span><span class="n">BATCH_SIZE</span><span class="p">,</span> + <span class="n">class_mode</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> + <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span> +<span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre>Found 57458 validated image filenames. +</pre> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=c1353d08"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [27]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Make predictions on test set</span> +<span class="n">test_preds</span> <span class="o">=</span> <span class="n">final_model</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">test_generator</span><span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>/home/farzat/files/University/Colorado/courses/csca5632=unsupervised-algorithms-in-machine-learning/reviews/venv/lib/python3.13/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:121: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored. + self._warn_if_super_not_called() +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold">896/898</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━</span><span class="ansi-white-fg">━</span> <span class="ansi-bold">0s</span> 45ms/step</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0"> +<pre>2025-09-10 10:47:28.693071: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[50,32,94,94]{3,2,1,0}, u8[0]{0}) custom-call(f32[50,3,96,96]{3,2,1,0}, f32[32,3,3,3]{3,2,1,0}, f32[32]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +2025-09-10 10:47:28.734984: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[50,64,45,45]{3,2,1,0}, u8[0]{0}) custom-call(f32[50,32,47,47]{3,2,1,0}, f32[64,32,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +2025-09-10 10:47:28.854444: I external/local_xla/xla/service/gpu/autotuning/conv_algorithm_picker.cc:546] Omitted potentially buggy algorithm eng14{k25=2} for conv (f32[50,128,20,20]{3,2,1,0}, u8[0]{0}) custom-call(f32[50,64,22,22]{3,2,1,0}, f32[128,64,3,3]{3,2,1,0}, f32[128]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target="__cudnn$convBiasActivationForward", backend_config={"operation_queue_id":"0","wait_on_operation_queues":[],"cudnn_conv_backend_config":{"activation_mode":"kRelu","conv_result_scale":1,"side_input_scale":0,"leakyrelu_alpha":0},"force_earliest_schedule":false,"reification_cost":[]} +</pre> +</div> +</div> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre><span class="ansi-bold">898/898</span> <span class="ansi-green-fg">━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-bold">42s</span> 46ms/step +</pre> +</div> +</div> +</div> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=eff6bbc5"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [28]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> +<div class="cm-editor cm-s-jupyter"> +<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Create submission file</span> +<span class="n">submission</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span> + <span class="s1">'id'</span><span class="p">:</span> <span class="n">test_ids</span><span class="p">,</span> + <span class="s1">'label'</span><span class="p">:</span> <span class="n">test_preds</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span> +<span class="p">})</span> + +<span class="n">submission</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s1">'submission.csv'</span><span class="p">,</span> <span class="n">index</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="s2">"Submission file created successfully!"</span><span class="p">)</span> +</pre></div> +</div> +</div> +</div> +</div> +<div class="jp-Cell-outputWrapper"> +<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> +</div> +<div class="jp-OutputArea jp-Cell-outputArea"> +<div class="jp-OutputArea-child"> +<div class="jp-OutputPrompt jp-OutputArea-prompt"></div> +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> +<pre>Submission file created successfully! +</pre> +</div> +</div> +</div> +</div> +</div> +<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=936683d8-79da-4e9d-b6b1-e586d46ca59f"> +<div class="jp-Cell-inputWrapper" tabindex="0"> +<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> +</div> +<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> +<h2 id="Conclusion">Conclusion<a class="anchor-link" href="#Conclusion">¶</a></h2><p>From the hyperparameter tuning figures, it seems that additional batch normalization improved the validation performance, but only by 1%. Overall, almost all the hyperparameter settings produced the same result. The same goes for the architecture setting, as deeper only won by a tiny margin.</p> +<p>What helped the most in getting the performance up was using ModelCheckpoint, as it helped smooth out the problem of fluctuations especially in the model selection part.</p> +<p>The large fluctuation in the validation scores remain a huge concern nevertheless. It is true that for our case we can filter out the epoch which produced the best performance, but there is no guarantee that the batch which scored the best AUC on our validation set would also score well on Kaggle's test set.</p> +<p>On inspecting the training logs on the larger dataset, it seems that the fluctuations are much less on the larger dataset especially as the number of epochs increased. Could it be that the fluctuation was caused by the limited dataset size and number of epochs used while choosing the model and hypertuning?</p> +<p>Further improvements one could make would be investigating that issue further. Another point of research would be investigating whether aggressive regularization helps smoothen out the fluctuations as well.</p> +</div> +</div> +</div> +</div> +</main> +</body> +</html> |