[MRG] More deprecation for 0.24#17142
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amueller merged 25 commits intoscikit-learn:masterfrom May 20, 2020
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…am of IsolationForest
thomasjpfan
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May 9, 2020
| ) | ||
| def test_search_default_iid(SearchCV, specialized_params): | ||
| # Test the IID parameter | ||
| # Test the IID parameter TODO: Clearly this test does something else??? |
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@glemaitre @adrinjalali @rth @amueller @jnothman Here too! |
amueller
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May 20, 2020
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| @deprecated("The function feature_extraction.image.extract_patches has been " |
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OMG I didn't remember this! Wait so we deprecated the n-d version but not the 2d version? hm
amueller
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May 20, 2020
| # datasets (only very shallow trees are built) that the checks use. | ||
| estimator.set_params(min_samples_leaf=5) | ||
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| if name == 'DummyClassifier': |
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Hm that's a bit weird of the test...
NicolasHug
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May 20, 2020
* normalize_components in sparsePCA * changed default strategy of Dummy to prior and removed outputs_2d ttribute * removed usage of None to drop estimator in ensemble and behaviour param of IsolationForest * remove support for drop=None in Voting * removed some warning decorators * remove feature_extraction.extract_patches * removed VectorizerMixin and copy parameter from TFIDFVectorizer * kernel.set_params now raises attributeerror * removed fig from plot_partial_dependence * removed iid parameter of search estimators * removed brier_scorer * raise error in split when shuffle is False and random_state is not None * removed MultiOutputEstimator * removed base classes of NaiveBayes * removed drop from pipeline * removed utils in random_projection * removed presort and classes_ in trees * flake8 * fixed some tests * flake * fixed docstring * fixed other one * some left * mmmm
viclafargue
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Jun 26, 2020
* normalize_components in sparsePCA * changed default strategy of Dummy to prior and removed outputs_2d ttribute * removed usage of None to drop estimator in ensemble and behaviour param of IsolationForest * remove support for drop=None in Voting * removed some warning decorators * remove feature_extraction.extract_patches * removed VectorizerMixin and copy parameter from TFIDFVectorizer * kernel.set_params now raises attributeerror * removed fig from plot_partial_dependence * removed iid parameter of search estimators * removed brier_scorer * raise error in split when shuffle is False and random_state is not None * removed MultiOutputEstimator * removed base classes of NaiveBayes * removed drop from pipeline * removed utils in random_projection * removed presort and classes_ in trees * flake8 * fixed some tests * flake * fixed docstring * fixed other one * some left * mmmm
viclafargue
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Jun 26, 2020
Lots of deprecations for 0.24
jayzed82
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Oct 22, 2020
* normalize_components in sparsePCA * changed default strategy of Dummy to prior and removed outputs_2d ttribute * removed usage of None to drop estimator in ensemble and behaviour param of IsolationForest * remove support for drop=None in Voting * removed some warning decorators * remove feature_extraction.extract_patches * removed VectorizerMixin and copy parameter from TFIDFVectorizer * kernel.set_params now raises attributeerror * removed fig from plot_partial_dependence * removed iid parameter of search estimators * removed brier_scorer * raise error in split when shuffle is False and random_state is not None * removed MultiOutputEstimator * removed base classes of NaiveBayes * removed drop from pipeline * removed utils in random_projection * removed presort and classes_ in trees * flake8 * fixed some tests * flake * fixed docstring * fixed other one * some left * mmmm
jayzed82
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Oct 22, 2020
Lots of deprecations for 0.24
jayzed82
pushed a commit
to jayzed82/scikit-learn
that referenced
this pull request
Oct 22, 2020
* normalize_components in sparsePCA * changed default strategy of Dummy to prior and removed outputs_2d ttribute * removed usage of None to drop estimator in ensemble and behaviour param of IsolationForest * remove support for drop=None in Voting * removed some warning decorators * remove feature_extraction.extract_patches * removed VectorizerMixin and copy parameter from TFIDFVectorizer * kernel.set_params now raises attributeerror * removed fig from plot_partial_dependence * removed iid parameter of search estimators * removed brier_scorer * raise error in split when shuffle is False and random_state is not None * removed MultiOutputEstimator * removed base classes of NaiveBayes * removed drop from pipeline * removed utils in random_projection * removed presort and classes_ in trees * flake8 * fixed some tests * flake * fixed docstring * fixed other one * some left * mmmm
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