1.0.7

Enhancements

• Add compatibility with latest changes in scikit-learn 1.4+ (#54)

1.0.6

Enhancements

• Added support for auto detection from byte file-like objects (#53).

Bugfixes

• Ensure to reseek before loading segmentation models if needed. This could cause unexpected crashes when auto detecting random forest pmml files (a4bed07).

1.0.5

Enhancements

• Add support for non-seekable file-like objects (d0c0034)

Bugfixes

• Fix for loading file-like objects directly instead of providing a file path; caused a file already closed error (55de16a)

1.0.4

Enhancements

• 🌟Added method to automatically detect the model type from the PMML file, and return the corresponding scikit-learn model (#51).

1.0.3

Bugfixes

• Fix typo that caused memory leak using tree based models (#50)

1.0.2

Bugfixes

• Fix for building on Apple Silicon (83519d9)
• Several changes to make sklearn-pmml-model work with the latest versions of scikit-learn.

1.0.1

Bugfixes

• Correctly retrieve votes distribution for float target trees (#45)

1.0.0

All major estimator types which are supported in both PMML and scikit-learn are now supported!

0.0.22

Enhancements

• 🌟Added support for multi-layer perceptron estimators PMMLMLPClassifier and PMMLMLPRegressor (#40).

0.0.21

Bugfixes

• Improved compatibility with scikit-learn major release 1.0 (#37).

Enhancements

• 🌟Added support for k-nearest neighbor estimators PMMLKNeighborsClassifier and PMMLKNeighborsRegressor (#38).