skl2onnx 1.10.0

on Python PyPI

Features

• Add parameter naming to rename all intermediate results (#756)
• Add a function to update initializers in a ONNX model (#758)
• Support for scikit-learn==1.0 (#752)

Bug fixes

• Handle double with CalibratedClassifierCV (#753)
• Fix a bug with TfIdfConverter and pruned terms (#747)

Converters

• Replace Normalizer, Scaler, LinearRegressor, LinearClassifier by standard ONNX operators (#755)
• Add converters for TweedieRegressor, PoissonRegressor, QuantileRegressor (#750)
• Add converter for RandomTreesEmbedding (#751)