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        "author": "Microsoft Corporation",
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            "Programming Language :: Python",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
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        "description": "## Introduction \n*sklearn-onnx* converts [scikit-learn](https://scikit-learn.org/stable/) models to [ONNX](https://github.com/onnx/onnx). Once in the ONNX format, you can use tools like [ONNX Runtime](https://github.com/Microsoft/onnxruntime) for high performance scoring.\n\n## Documentation\nFull documentation including tutorials is available at [http://onnx.ai/sklearn-onnx/](http://onnx.ai/sklearn-onnx/).\n\nYou may also find answers in [existing issues](https://github.com/onnx/sklearn-onnx/issues?utf8=%E2%9C%93&q=is%3Aissue)\nor submit a new one.\n\n## Installation\nYou can install from [PyPi](https://pypi.org/project/skl2onnx/):\n```\npip install skl2onnx\n```\nOr you can install from the source with the latest changes.\n```\npip install git+https://github.com/onnx/sklearn-onnx.git\n```\n\nIf you install *sklearn-onnx* from its source code, you must set the environment variable `ONNX_ML=1` before installing the onnx package.\n\n## Contribute\nWe welcome contributions in the form of feedback, ideas, or code. \n\n## License\n[MIT License](LICENSE)\n\n\n",
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