FIX make check_complex_data deterministic #20221
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shouldn't it be done in |
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nvm I see that it's already done in each check individually |
We might want to consider doing this in a latter PR. But let's keep this PR minimal to fix |
thomasjpfan
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* TST enable test docstring params for feature extraction module (scikit-learn#20188) * DOC fix a reference in sklearn.ensemble.GradientBoostingRegressor (scikit-learn#20198) * FIX mcc zero divsion (scikit-learn#19977) * TST Add TransformedTargetRegressor to test_meta_estimators_delegate_data_validation (scikit-learn#20175) Co-authored-by: Guillaume Lemaitre <[email protected]> * TST enable n_feature_in_ test for feature_extraction module * FIX Uses points instead of pixels in plot_tree (scikit-learn#20023) * MNT n_features_in through the multiclass module (scikit-learn#20193) * CI Removes python 3.6 builds from wheel building (scikit-learn#20184) * FIX Fix typo in error message in `fetch_openml` (scikit-learn#20201) * FIX Fix error when using Calibrated with Voting (scikit-learn#20087) * FIX Fix RandomForestRegressor doesn't accept max_samples=1.0 (scikit-learn#20159) Co-authored-by: Olivier Grisel <[email protected]> Co-authored-by: Thomas J. Fan <[email protected]> * ENH Adds Poisson criterion in RandomForestRegressor (scikit-learn#19836) Co-authored-by: Christian Lorentzen <[email protected]> Co-authored-by: Alihan Zihna <[email protected]> Co-authored-by: Alihan Zihna <[email protected]> Co-authored-by: Chiara Marmo <[email protected]> Co-authored-by: Olivier Grisel <[email protected]> Co-authored-by: naozin555 <[email protected]> Co-authored-by: Venkatachalam N <[email protected]> Co-authored-by: Thomas J. Fan <[email protected]> * TST Replace assert_warns from decomposition/tests (scikit-learn#20214) * TST check n_features_in_ in pipeline module (scikit-learn#20192) Co-authored-by: Olivier Grisel <[email protected]> Co-authored-by: Jérémie du Boisberranger <[email protected]> Co-authored-by: Olivier Grisel <[email protected]> * Allow `n_knots=None` if knots are explicitly specified in `SplineTransformer` (scikit-learn#20191) Co-authored-by: Olivier Grisel <[email protected]> * FIX make check_complex_data deterministic (scikit-learn#20221) * TST test_fit_docstring_attributes include properties (scikit-learn#20190) * FIX Uses the color max for colormap in ConfusionMatrixDisplay (scikit-learn#19784) * STY Changing .format method to f-string formatting (scikit-learn#20215) * CI Adds permissions for label action Co-authored-by: Jérémie du Boisberranger <[email protected]> Co-authored-by: tsuga <[email protected]> Co-authored-by: Conner Shen <[email protected]> Co-authored-by: Guillaume Lemaitre <[email protected]> Co-authored-by: mlondschien <[email protected]> Co-authored-by: Clément Fauchereau <[email protected]> Co-authored-by: murata-yu <[email protected]> Co-authored-by: Olivier Grisel <[email protected]> Co-authored-by: Brian Sun <[email protected]> Co-authored-by: Christian Lorentzen <[email protected]> Co-authored-by: Alihan Zihna <[email protected]> Co-authored-by: Alihan Zihna <[email protected]> Co-authored-by: Chiara Marmo <[email protected]> Co-authored-by: Olivier Grisel <[email protected]> Co-authored-by: naozin555 <[email protected]> Co-authored-by: Venkatachalam N <[email protected]> Co-authored-by: Nanshan Li <[email protected]> Co-authored-by: solosilence <[email protected]>
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Fixes #20218 and replaces #20219.
This should fix the random failure of
check_complex_dataobserved forOutputCodeClassifier.The underlying root issue with the lack of validation for
_ConstantPredictoris being discussed separately in #20205.