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            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
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            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Natural Language :: English",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
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            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
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        "description": "# Python Library for Blazee\n\n## Intro\n\nBlazee is the easiest and fastest way to turn your Machine Learning\nmodels and pipelines into a production ready prediction API.\n\nIt allows you to deploy trained models straight from a Jupyter Notebook\nor any other model training environment, and access them live from anywhere\nusing the Blazee HTTP API.\n\nThis library can also be used\n\n## Supported Frameworks\n\nAt the moment, we support the following frameworks:\n\n- Scikit Learn (Supervised learning models and pipeline)\n- Keras\n- PyTorch\n- XGBoost\n- LightGBM\n\nComing soon:\n\n- H2O\n- XGBoost\n- LightGBM\n- Tensorflow\n\n## Installation\n\nInstall from pip\n\n```shell\npip install blazee\n```\n\nSign up and get an API Key from https://blazee.io\n\n## Usage\n\n```python\n# Train your model like you usually do\n>>> from sklearn.linear_model import LogisticRegressionCV\n>>> clf = LogisticRegressionCV()\n>>> ...\n>>> clf.train(X)\n\n# Deploy your model on Blazee\n# Get your API Key on https://blazee.io\n>>> from blazee import Blazee\n>>> bz = Blazee(YOUR_API_KEY)\n>>> model = bz.deploy_model(clf)\nUploading model to Blazee...\nSuccessfully deployed model bdea76f4-fa0f-4ef1-8bc5-f36978a4488e\nDeploying model... This will take a few moments\n\n# Predict a single sample\n>>> pred = model.predict(X[0])\n>>> pred.prediction\n1\n>>> pred.probas\n{0: 0.08, 1:0.91, 2: 0.01}\n\n# Or predict a batch\n>>> preds = model.batch_predict(X)\n\n# Deploy another version of the model\n>>> clf2 = SGDClassifier()\n>>> ...\n>>> clf2.train(X)\n>>> model.update(clf2)\n```\n\n## Support\n\nContact us at support@blazee.io or open a Github Issue for any question or bug report.\n\n\n",
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        "license": "GNU General Public License v3.0",
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        "name": "blazee",
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