| Linux | Windows |
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sklearn-onnx converts scikit-learn models to ONNX. Once in the ONNX format, you can use tools like ONNX Runtime for high performance scoring.
Full documentation including tutorials is available at https://onnx.ai/sklearn-onnx/.
You may also find answers in existing issues or submit a new one.
You can install from PyPi:
pip install skl2onnx
Or you can install from the source with the latest changes.
pip install git+https://github.com/onnx/sklearn-onnx.git
If you install onnx from its source code, you must set the environment variable ONNX_ML=1 before installing the onnx package.
We welcome contributions in the form of feedback, ideas, or code.