onnxmltools 1.5.0

v1.5.0

on Python PyPI

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)