{
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        "author": "Igor Gotlibovych",
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        "description": "[![PyPI version](https://badge.fury.io/py/kerashistoryplot.svg)](https://badge.fury.io/py/kerashistoryplot)\n[![Build Status](https://travis-ci.com/ig248/kerashistoryplot.svg?branch=master)](https://travis-ci.com/ig248/kerashistoryplot)\n[![Coverage Status](https://codecov.io/gh/ig248/kerashistoryplot/branch/master/graph/badge.svg)](https://codecov.io/gh/ig248/kerashistoryplot)\n\n# History plot for Keras model training\n\n![history plot with batches](https://raw.githubusercontent.com/ig248/kerashistoryplot/master/kerashistoryplot.png)\n\nPlots training losses and metrics in Jupyter while training your `keras` model.\n\nThis project started as an attempt to extend [`livelossplot`](https://github.com/stared/livelossplot), but I realized that a rewrite was easier. Key improvements are:\n\n- keeps full history, including losses for each batch in each epoch\n- plots scatter of batch losses\n- plots arbitrary log entries, such a `lr` (learning rate)\n- simplifies codebase extendibility\n\n## Basic Usage\nInstall package from source:\n\n```\npip install git+https://github.com/ig248/kerashistoryplot\n```\n\nOr from PyPi:\n\n```\npip install kerashistoryplot\n```\n\nImport function:\n\n```python\nfrom livehistoryplot.callbacks import PlotHistory\n```\n\nUse in callbacks:\n\n```python\nmodel.fit(\n    X, y,\n    epochs=20,\n    callbacks=[\n        ReduceLROnPlateau(),\n        PlotHistory(batches=True, n_cols=3, figsize=(15, 7))\n    ]\n)\n```\n\n## More Examples\nSee `notebooks/`\n\n## Tests\nRun\n```bash\nmake dev-install\nmake test\n```\n\n## References\nOriginal `livelossplot`: https://github.com/stared/livelossplot\n\n\n",
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