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        "author": "Kapil Sachdeva",
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Libraries",
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        "description": "# Keras Experiment Recorder\n\nThis is a set of utilities (mostly a keras Callback) that help store various aspects of an\nexperiment (e.g. model information, results of training etc) in firebase backend.\n\n## Prerequisites\n\nYou will need the service account of a firebase app.\n\n## Usage\n\n```python\nfrom keras_experiment_recorder import ExperimentInfo, FirebaseInfo\nfrom keras_experiment_recorder import ExperimentRecorder\n\n# below three lines setup the instance of ExperimentRecorder\nfb_info = FirebaseInfo(bucket_name=bucket_name,\n                           credential_path=credential_path)\nexperiment_info = ExperimentInfo(name='first exp', fb_info=fb_info)\nrecorder = ExperimentRecorder(experiment_info)\n\ncallbacks = [recorder]\n\nhistory = model.fit(x_train, y_train,\n                    batch_size=batch_size,\n                    epochs=epochs,\n                    verbose=1,\n                    callbacks=callbacks,    # pass the callbacks\n                    validation_split=0.1)\n\n```\n\n### Running the example included in this repository\n\n```bash\npython examples/simple.py --bucket-name keras-experiment-recorder.appspot.com --credential-path ~/Desktop/Dev/keys/keras-experimen\nt-recorder-firebase.json\n```\n\n\n",
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        "license": "Apache-2.0",
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        "name": "Keras-Experiment-Recorder",
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        "summary": "A keras extension (callback) to record details of a training task",
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