CHANGELOGS.md

Change Logs

1.18.0

• Function to_onnx now forces the main opset to be equal to the value speficied by the user (parameter target_opset), #1109
• Add converter for TunedThresholdClassifierCV, #1107

1.17.0 (development)

• Upgrade the maximum supported opset to 21, update requirements to scikit-learn>=1.1, older versions are not tested anymore, #1098
• Support infrequent categories for OneHotEncoder #1029
• Support kernel Matern in Gaussian Process #978
• Fix for multidimensional gaussian process #1097
• Minor fixes to support scikit-learn==1.5.0 #1095
• Fix the conversion of pipeline including pipelines, issue #1069, #1072
• Fix unexpected type for intercept in PoissonRegressor and GammaRegressor #1070
• Add support for scikit-learn 1.4.0, #1058, fixes issues Many examples in the gallery are showing "broken", TFIDF vectorizer target_opset issue, Tfidfvectorizer with sublinear_tf fails, despite opset version set to greater than 11.

1.16.0

• Supports cosine distance (LocalOutlierFactor, ...) #1050,
• Supports multiple columns for OrdinalEncoder #1044 (by @max-509)
• Add an example on how to handle FunctionTransformer #1042, Versions of scikit-learn < 1.0 are not tested any more.
• Supports lists of strings as inputs for FeatureHasher #1025, #1036
• skl2onnx works with onnx==1.15.0, #1034
• fix OneHotEncoder when categories indices to drop are not None #1028
• fix converter for AdaBoost estimators in scikit-learn==1.3.1 #1027
• add function 'add_onnx_graph' to insert onnx graph coming from other converting,
  libraries within the converter mapped to a custom estimator #1023, #1024
• add option 'language' to converters of CountVectorizer, TfIdfVectorizer #1020