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        "author": "Charles Irick",
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        "description": "# Batching\n\nBatching is a set of tools to format data for training sequence models.\n\n[![Build Status](https://travis-ci.org/cirick/batching.svg?branch=master)](https://travis-ci.org/cirick/batching)\n[![Coverage Status](https://coveralls.io/repos/github/cirick/batching/badge.svg?branch=master)](https://coveralls.io/github/cirick/batching?branch=master)\n\n## Installation\n```shell\n$ pip install batching\n```\n\n## Example usage\nExample script exists in sample.py\n```python\n# Metadata for batch info - including batch IDs and mappings to storage resouces like filenames\nstorage_meta = StorageMeta(validation_split=0.2)\n\n# Storage for batch data - Memory, Files, S3\nstorage = BatchStorageMemory(storage_meta)\n\n# Create batches - configuration contains feature names, windowing config, timeseries spacing\nbatch_generator = Builder(storage, \n                          feature_set, \n                          look_back, \n                          look_forward, \n                          batch_seconds, \n                          batch_size=128)\nbatch_generator.generate_and_save_batches(list_of_dataframes)\n\n# Generator for feeding batches to training - tf.keras.model.fit_generator\ntrain_generator = BatchGenerator(storage)\nvalidation_generator = BatchGenerator(storage, is_validation=True)\n\nmodel = tf.keras.Sequential()\nmodel.add(tf.keras.layers.Dense(1, activation='sigmoid')\nmodel.compile(loss=tf.keras.losses.binary_crossentropy, \n              optimizer=tf.keras.optimizers.Adam(), \n              metrics=['accuracy'])\nmodel.fit_generator(train_generator,\n                    validation_data=validation_generator,\n                    epochs=epochs)\n```\n\n## License\n\n[![License](http://img.shields.io/:license-mit-blue.svg?style=flat-square)](http://badges.mit-license.org)\n\n- **[MIT license](http://opensource.org/licenses/mit-license.php)**\n- Copyright 2015 \u00a9 <a href=\"http://fvcproductions.com\" target=\"_blank\">FVCproductions</a>.",
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