onnxmltools version 1.5.0 is now available! This version features ONNX Opset 10 support and code coverage.
How do I use the latest onnxmltools package?
pip install onnxmltools --upgrade
python -c "import onnxmltools"
This package includes converters for LightGBM, CoreML, Spark ML, LibSVM, XGBoost, and wrappers for conversion from scikit-learn and Keras.
Highlights since the last release
- Updating onnxmltools package version and requirements to 1.5.0 (#315)
- Opset 10 Updates
- [Opset 10] Updates for thresholded relu (#308)
- [Opset 10] Deprecate Upsample, create Resize op (#303)
- [Opset 10] Pooling operator updates: AveragePool, MaxPool (#296)
- Added apply_slice function to enable multiple versions of Slice (#291)
- Include code coverage / Improve CI Builds
- Run code coverage on linux CI (#301)
- Add support for Py3.7, onnx 1.5, onnxruntime 0.4 (#293)
- Fixing input to CoreML multiply for LeakyReLU (#297)
- Documentation update: Spark ML readme files (#289)
