[ENH] classification test scenario with three classes and pd-multiindex mtype
#6374
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fkiraly
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module:classification
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This was referenced May 2, 2024
cedricdonie
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May 2, 2024
fkiraly
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pd-multiindex mtype
fkiraly
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May 28, 2024
…d-multiindex` mtype (#6491) This fixes an unreported bug where `BaseClassifier.fit_predict` and `fit_predict_proba` would not work for `pd-multiindex` mtype. The failure is due to `cv.split` being called on a multi-index, which applies to `iloc` range index instead of the first `loc` index component of the multi-index. Test coverage is added through the scenario in PR #6374 which covers both `pd-multiindex` as well as the three-class case. This PR also de-duplicates the `_fit_predict_boilerplate` method of `BaseClassifier` with `BasePanelMixin`.
fkiraly
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May 29, 2024
…data type (#6377) This PR fixes #6376 by ensuring the `_get_train_probs` method - with undocumented contract - accepts `X_train` of any permissible panel input type. The fix is adding an input converter to numpy3D, which all currently implemented instances seem to assume. This approach should fix the failing `test_classifier_output` test for the new scenario, without removing functionality (even if private), or degrading efficiency in a case where the input is numpy already. Depends on #6374 for testing.
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This adds a classification test scenario with three classes and
pd-multiindexmtype.Currently, only two classes were tested.
Depends on bugfixes newly covered:
BaseClassifier.fit_predictandfit_predict_probaforpd-multiindexmtype #6491