scikit-onnxruntime wraps onnxruntime with scikit-learn API.
with open("rf_iris.onnx", "rb") as f:
content = f.read()
ot = OnnxTransformer(content, output_name="output_probability")
ot.fit(X_train, y_train)
print(ot.transform(X_test[:5]))
Documentation
Full documentation including tutorials is available at xadupre.github.io.
You may also find answers in existing issues or submit a new one.
Installation
You can install from PyPi:
pip install skonnxrt
Or you can install from the source with the latest changes:
pip install git+https://github.com/xadupre/scikit-onnxruntime.git
Contribute
We welcome contributions in the form of feedback, ideas, or code.
License
Metadata
Release files for scikit-onnxruntime 0.2.1.4
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 |
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| scikit_onnxruntime-0.2.1.4-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Release files / scikit_onnxruntime-0.2.1.4-py2.py3-none-any.whl
| Download URL | scikit_onnxruntime-0.2.1.4-py2.py3-none-any.whl |
|---|---|
| Size | 6.6 kB |
| Tags | Python 2 Python 3 |
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