Introduction
sklearn-onnx converts scikit-learn models to ONNX. Once in the ONNX format, you can use tools like ONNX Runtime for high performance scoring.
Documentation
Full documentation including tutorials is available at http://onnx.ai/sklearn-onnx/.
You may also find answers in existing issues or submit a new one.
Installation
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 sklearn-onnx from its source code, you must set the environment variable ONNX_ML=1 before installing the onnx package.
Contribute
We welcome contributions in the form of feedback, ideas, or code.
License
1 maintainer
Release files for skl2onnx 1.4.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| skl2onnx-1.4.8-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Release files / skl2onnx-1.4.8-py2.py3-none-any.whl
| Download URL | skl2onnx-1.4.8-py2.py3-none-any.whl |
|---|---|
| Size | 109.6 kB |
| Tags | Python 2 Python 3 |
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