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Upgrading scikit-learn 0.23 to 0.24

Breaking0.23.2 → 0.24.2Platform1

BreakingUpgrade verdict

A platform requirement change.

  • This release works with Python 3.6, 3.7, 3.8 and 3.9.
1 item needs code or config changes
Platform1
Supports Python versions 3.6 to 3.9.

Generated by DepDelta from published Python source. Not mixed with prose notes.

  • changed: class CalibratedClassifierCV(BaseEstimator, ClassifierMixin, MetaEstimatorMixin) → class CalibratedClassifierCV(ClassifierMixin, MetaEstimatorMixin, BaseEstimator)
  • changed: constructor CalibratedClassifierCV(base_estimator=…, *, method=…, cv=…) → constructor CalibratedClassifierCV(base_estimator=…, *, method=…, cv=…, n_jobs=…, ensemble=…)
  • added: export kmeans_plusplus
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: variable correct_import_path
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  • removed: variable deprecated_path
  • added: function pytest_collection_modifyitems(config, items)
  • added: function pytest_runtest_setup(item)
  • added: variable dataset_fetchers
  • added: variable fetch_20newsgroups_fxt
  • added: variable fetch_20newsgroups_vectorized_fxt
  • added: variable fetch_california_housing_fxt
  • added: variable fetch_covtype_fxt
  • added: variable fetch_kddcup99_fxt
  • added: variable fetch_olivetti_faces_fxt
  • added: variable fetch_rcv1_fxt
  • removed: variable correct_import_path
  • removed: variable deprecated_path
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  • added: export dict_learning
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  • removed: variable correct_import_path
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  • removed: variable correct_import_path
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  • removed: variable correct_import_path
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  • removed: variable correct_import_path
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  • removed: variable correct_import_path
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  • removed: variable correct_import_path
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  • removed: variable correct_import_path
  • removed: variable deprecated_path
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  • removed: variable deprecated_path
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  • removed: variable deprecated_path
  • changed: class LinearDiscriminantAnalysis(BaseEstimator, LinearClassifierMixin, TransformerMixin) → class LinearDiscriminantAnalysis(LinearClassifierMixin, TransformerMixin, BaseEstimator)
  • changed: constructor LinearDiscriminantAnalysis(*, solver=…, shrinkage=…, priors=…, n_components=…, store_covariance=…, tol=…) → constructor LinearDiscriminantAnalysis(solver=…, shrinkage=…, priors=…, n_components=…, store_covariance=…, tol=…, covariance_estimator=…)
  • removed: property DummyClassifier.outputs_2d_
  • removed: property DummyRegressor.outputs_2d_
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: variable correct_import_path
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  • removed: variable correct_import_path
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  • changed: method TfidfVectorizer.transform(raw_documents, copy=…) → method TfidfVectorizer.transform(raw_documents)
  • added: export SequentialFeatureSelector
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: variable correct_import_path
  • removed: variable deprecated_path
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  • removed: variable deprecated_path
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • added: export partial_dependence
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • changed: constructor Nystroem(kernel=…, *, gamma=…, coef0=…, degree=…, kernel_params=…, n_components=…, random_state=…) → constructor Nystroem(kernel=…, *, gamma=…, coef0=…, degree=…, kernel_params=…, n_components=…, random_state=…, n_jobs=…)
  • added: class PolynomialCountSketch(BaseEstimator, TransformerMixin)
  • added: constructor PolynomialCountSketch(*, gamma=…, degree=…, coef0=…, n_components=…, random_state=…)
  • added: method PolynomialCountSketch.fit(X, y=…)
  • added: method PolynomialCountSketch.transform(X)
  • changed: method KernelRidge.fit(X, y=…, sample_weight=…) → method KernelRidge.fit(X, y, sample_weight=…)
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: variable correct_import_path
  • removed: variable deprecated_path
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  • removed: variable deprecated_path
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  • added: export DetCurveDisplay
  • added: export det_curve
  • added: export mean_absolute_percentage_error
  • added: export pair_confusion_matrix
  • added: export plot_det_curve
  • added: export rand_score
  • added: export top_k_accuracy_score
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • added: export pair_confusion_matrix
  • added: export rand_score
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: variable correct_import_path
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  • removed: variable deprecated_path
  • removed: variable correct_import_path
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  • removed: variable deprecated_path
  • changed: constructor CategoricalNB(*, alpha=…, fit_prior=…, class_prior=…) → constructor CategoricalNB(*, alpha=…, fit_prior=…, class_prior=…, min_categories=…)
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: variable correct_import_path
  • removed: variable deprecated_path
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  • removed: variable deprecated_path
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  • removed: variable deprecated_path
  • changed: function make_pipeline(*steps, **kwargs) → function make_pipeline(*steps, memory=…, verbose=…)
  • changed: function make_union(*transformers, **kwargs) → function make_union(*transformers, n_jobs=…, verbose=…)
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • added: export SelfTrainingClassifier
  • removed: variable correct_import_path
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  • removed: variable deprecated_path
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: function safe_indexing(X, indices, *, axis=…)
  • changed: function resample(*arrays, **options) → function resample(*arrays, replace=…, n_samples=…, random_state=…, stratify=…)
  • changed: function shuffle(*arrays, **options) → function shuffle(*arrays, random_state=…, n_samples=…)
  • removed: class NotAnArray(_NotAnArray)
  • removed: function choose_check_classifiers_labels(name, y, y_names)
  • removed: function enforce_estimator_tags_y(estimator, y)
  • removed: function is_public_parameter(attr)
  • removed: function pairwise_estimator_convert_X(X, estimator, kernel=…)
  • removed: function set_checking_parameters(estimator)
  • removed: variable BOSTON
  • changed: function check_sample_weights_invariance(name, estimator_orig) → function check_sample_weights_invariance(name, estimator_orig, kind=…)
  • added: function check_estimator_get_tags_default_keys(name, estimator_orig)
  • added: function check_methods_sample_order_invariance(name, estimator_orig)
  • added: function check_n_features_in_after_fitting(name, estimator_orig)
  • added: function check_transformer_preserve_dtypes(name, transformer_orig)
  • added: variable REGRESSION_DATASET
  • removed: function safe_min(X)
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • added: function delayed(function)
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • removed: function newton_cg(grad_hess, func, grad, x0, args=…, tol=…, maxiter=…, maxinner=…, line_search=…, warn=…)
  • removed: variable correct_import_path
  • removed: variable deprecated_path
  • changed: function incr_mean_variance_axis(X, *, axis, last_mean, last_var, last_n) → function incr_mean_variance_axis(X, *, axis, last_mean, last_var, last_n, weights=…)
  • changed: function mean_variance_axis(X, axis) → function mean_variance_axis(X, axis, weights=…, return_sum_weights=…)
  • removed: variable correct_import_path
  • removed: variable deprecated_path