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ksaur avatar ksaur commented on May 23, 2024

See scikit-learn/scikit-learn#27826

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ksaur avatar ksaur commented on May 23, 2024

And also failures in:
tests\test_extra_conf.py ........FF.Fs............ssssssssssss

>           raise MissingConverter("Unable to find converter for model type {}.".format(model_type))
E           hummingbird.ml.exceptions.MissingConverter: Unable to find converter for model type <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>.

See scikit-learn/scikit-learn#27204

and

tests\test_sklearn_pipeline.py ....F.FFFFFFF.FF.......

>       categorical_transformer = Pipeline(steps=[("onehot", OneHotEncoder(sparse=True, handle_unknown="ignore"))])
E       TypeError: OneHotEncoder.__init__() got an unexpected keyword argument 'sparse'

See scikit-learn/scikit-learn#27861

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ksaur avatar ksaur commented on May 23, 2024

TODO: will need a new parser for FunctionTransformer but hopefully we can reuse the columntransfer logic as much as possible.

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