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Releases: interpretml/ebm2onnx

v3.1.3

05 Mar 09:32
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This is a bugfix release.

Fixes

  • The conversion fails if a boolean feature has only one value (#11)

v3.1.2

05 Mar 09:31
958c102
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This is a bugfix release.

Fixes

  • Boolean data column leads to wrong predictions (#11)

v3.1.1

07 Mar 13:23
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This is a bugfix release.

Fixes

  • The output value of a classification is an index instead of the class (#6)

v3.1.0

01 Mar 17:57
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This is an improvement release with breaking changes.

  • The predict_proba parameter now creates a dedicated output, in addition to the prediction output.
  • The names of the outputs (prediction, probabilities, and explanation) are now configurable.

v2.0.0

21 Feb 15:36
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This is an improvements release, with breaking changes:

This version depends on at least Interpret v0.3.0 where the internal representation of the EBM models changed.

v1.3.0

29 Aug 08:44
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This is an improvements release.

Improvements

  • Fix the name of the scores and predict_proba outputs (#3). They are now named "scores_0" and "predict_proba_0"
  • Add support for categorical features of any type (#1)

v1.2.0

11 Oct 08:49
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This is an improvement release.

Improvements

  • Add a pandas dtype helper to create the dtype parameter automatically (#2).
  • Add support for boolean continuous features.
  • Print an explicit error on unsupported categorical feature types.

v1.1.0

18 May 09:12
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This is an improvement and bugfix release

Improvements

  • Added a target_opset argument to the to_onnx conversion function. The default value is 13.

Fixes

  • Fixed conversion of binary classification models when explain is enabled.