This is the class and function reference of scikit-learn. Please refer to the :ref:`full user guide <user_guide>` for further details, as the class and function raw specifications may not be enough to give full guidelines on their uses. For reference on concepts repeated across the API, see :ref:`glossary`.
:mod:`sklearn.base`: Base classes and utility functions
.. automodule:: sklearn.base
:no-members:
:no-inherited-members:
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst base.BaseEstimator base.BiclusterMixin base.ClassifierMixin base.ClusterMixin base.DensityMixin base.RegressorMixin base.TransformerMixin
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: function.rst base.clone base.is_classifier base.is_regressor config_context get_config set_config show_versions
:mod:`sklearn.calibration`: Probability Calibration
.. automodule:: sklearn.calibration :no-members: :no-inherited-members:
User guide: See the :ref:`calibration` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst calibration.CalibratedClassifierCV
.. autosummary:: :toctree: generated/ :template: function.rst calibration.calibration_curve
:mod:`sklearn.cluster`: Clustering
.. automodule:: sklearn.cluster :no-members: :no-inherited-members:
User guide: See the :ref:`clustering` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst cluster.AffinityPropagation cluster.AgglomerativeClustering cluster.Birch cluster.DBSCAN cluster.OPTICS cluster.FeatureAgglomeration cluster.KMeans cluster.MiniBatchKMeans cluster.MeanShift cluster.SpectralClustering
.. autosummary:: :toctree: generated/ :template: function.rst cluster.affinity_propagation cluster.dbscan cluster.estimate_bandwidth cluster.k_means cluster.mean_shift cluster.spectral_clustering cluster.ward_tree
:mod:`sklearn.cluster.bicluster`: Biclustering
.. automodule:: sklearn.cluster.bicluster :no-members: :no-inherited-members:
User guide: See the :ref:`biclustering` section for further details.
.. currentmodule:: sklearn.cluster.bicluster
.. autosummary:: :toctree: generated/ :template: class.rst SpectralBiclustering SpectralCoclustering
:mod:`sklearn.compose`: Composite Estimators
.. automodule:: sklearn.compose :no-members: :no-inherited-members:
User guide: See the :ref:`combining_estimators` section for further details.
.. currentmodule:: sklearn
.. autosummary::
:toctree: generated
:template: class.rst
compose.ColumnTransformer
compose.TransformedTargetRegressor
.. autosummary:: :toctree: generated/ :template: function.rst compose.make_column_transformer
:mod:`sklearn.covariance`: Covariance Estimators
.. automodule:: sklearn.covariance :no-members: :no-inherited-members:
User guide: See the :ref:`covariance` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst covariance.EmpiricalCovariance covariance.EllipticEnvelope covariance.GraphicalLasso covariance.GraphicalLassoCV covariance.LedoitWolf covariance.MinCovDet covariance.OAS covariance.ShrunkCovariance
.. autosummary:: :toctree: generated/ :template: function.rst covariance.empirical_covariance covariance.graphical_lasso covariance.ledoit_wolf covariance.oas covariance.shrunk_covariance
:mod:`sklearn.cross_decomposition`: Cross decomposition
.. automodule:: sklearn.cross_decomposition :no-members: :no-inherited-members:
User guide: See the :ref:`cross_decomposition` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst cross_decomposition.CCA cross_decomposition.PLSCanonical cross_decomposition.PLSRegression cross_decomposition.PLSSVD
:mod:`sklearn.datasets`: Datasets
.. automodule:: sklearn.datasets :no-members: :no-inherited-members:
User guide: See the :ref:`datasets` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: function.rst datasets.clear_data_home datasets.dump_svmlight_file datasets.fetch_20newsgroups datasets.fetch_20newsgroups_vectorized datasets.fetch_california_housing datasets.fetch_covtype datasets.fetch_kddcup99 datasets.fetch_lfw_pairs datasets.fetch_lfw_people datasets.fetch_olivetti_faces datasets.fetch_openml datasets.fetch_rcv1 datasets.fetch_species_distributions datasets.get_data_home datasets.load_boston datasets.load_breast_cancer datasets.load_diabetes datasets.load_digits datasets.load_files datasets.load_iris datasets.load_linnerud datasets.load_sample_image datasets.load_sample_images datasets.load_svmlight_file datasets.load_svmlight_files datasets.load_wine
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: function.rst datasets.make_biclusters datasets.make_blobs datasets.make_checkerboard datasets.make_circles datasets.make_classification datasets.make_friedman1 datasets.make_friedman2 datasets.make_friedman3 datasets.make_gaussian_quantiles datasets.make_hastie_10_2 datasets.make_low_rank_matrix datasets.make_moons datasets.make_multilabel_classification datasets.make_regression datasets.make_s_curve datasets.make_sparse_coded_signal datasets.make_sparse_spd_matrix datasets.make_sparse_uncorrelated datasets.make_spd_matrix datasets.make_swiss_roll
:mod:`sklearn.decomposition`: Matrix Decomposition
.. automodule:: sklearn.decomposition :no-members: :no-inherited-members:
User guide: See the :ref:`decompositions` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst decomposition.DictionaryLearning decomposition.FactorAnalysis decomposition.FastICA decomposition.IncrementalPCA decomposition.KernelPCA decomposition.LatentDirichletAllocation decomposition.MiniBatchDictionaryLearning decomposition.MiniBatchSparsePCA decomposition.NMF decomposition.PCA decomposition.SparsePCA decomposition.SparseCoder decomposition.TruncatedSVD
.. autosummary:: :toctree: generated/ :template: function.rst decomposition.dict_learning decomposition.dict_learning_online decomposition.fastica decomposition.sparse_encode
:mod:`sklearn.discriminant_analysis`: Discriminant Analysis
.. automodule:: sklearn.discriminant_analysis :no-members: :no-inherited-members:
User guide: See the :ref:`lda_qda` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated :template: class.rst discriminant_analysis.LinearDiscriminantAnalysis discriminant_analysis.QuadraticDiscriminantAnalysis
:mod:`sklearn.dummy`: Dummy estimators
.. automodule:: sklearn.dummy :no-members: :no-inherited-members:
User guide: See the :ref:`model_evaluation` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst dummy.DummyClassifier dummy.DummyRegressor
.. autosummary:: :toctree: generated/ :template: function.rst
:mod:`sklearn.ensemble`: Ensemble Methods
.. automodule:: sklearn.ensemble :no-members: :no-inherited-members:
User guide: See the :ref:`ensemble` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst ensemble.AdaBoostClassifier ensemble.AdaBoostRegressor ensemble.BaggingClassifier ensemble.BaggingRegressor ensemble.ExtraTreesClassifier ensemble.ExtraTreesRegressor ensemble.GradientBoostingClassifier ensemble.GradientBoostingRegressor ensemble.IsolationForest ensemble.RandomForestClassifier ensemble.RandomForestRegressor ensemble.RandomTreesEmbedding ensemble.VotingClassifier
.. autosummary:: :toctree: generated/ :template: function.rst
.. automodule:: sklearn.ensemble.partial_dependence :no-members: :no-inherited-members:
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: function.rst ensemble.partial_dependence.partial_dependence ensemble.partial_dependence.plot_partial_dependence
:mod:`sklearn.exceptions`: Exceptions and warnings
.. automodule:: sklearn.exceptions :no-members: :no-inherited-members:
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class_without_init.rst exceptions.ChangedBehaviorWarning exceptions.ConvergenceWarning exceptions.DataConversionWarning exceptions.DataDimensionalityWarning exceptions.EfficiencyWarning exceptions.FitFailedWarning exceptions.NotFittedError exceptions.NonBLASDotWarning exceptions.UndefinedMetricWarning
:mod:`sklearn.feature_extraction`: Feature Extraction
.. automodule:: sklearn.feature_extraction :no-members: :no-inherited-members:
User guide: See the :ref:`feature_extraction` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst feature_extraction.DictVectorizer feature_extraction.FeatureHasher
.. automodule:: sklearn.feature_extraction.image :no-members: :no-inherited-members:
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: function.rst feature_extraction.image.extract_patches_2d feature_extraction.image.grid_to_graph feature_extraction.image.img_to_graph feature_extraction.image.reconstruct_from_patches_2d :template: class.rst feature_extraction.image.PatchExtractor
.. automodule:: sklearn.feature_extraction.text :no-members: :no-inherited-members:
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst feature_extraction.text.CountVectorizer feature_extraction.text.HashingVectorizer feature_extraction.text.TfidfTransformer feature_extraction.text.TfidfVectorizer
:mod:`sklearn.feature_selection`: Feature Selection
.. automodule:: sklearn.feature_selection :no-members: :no-inherited-members:
User guide: See the :ref:`feature_selection` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst feature_selection.GenericUnivariateSelect feature_selection.SelectPercentile feature_selection.SelectKBest feature_selection.SelectFpr feature_selection.SelectFdr feature_selection.SelectFromModel feature_selection.SelectFwe feature_selection.RFE feature_selection.RFECV feature_selection.VarianceThreshold
.. autosummary:: :toctree: generated/ :template: function.rst feature_selection.chi2 feature_selection.f_classif feature_selection.f_regression feature_selection.mutual_info_classif feature_selection.mutual_info_regression
:mod:`sklearn.gaussian_process`: Gaussian Processes
.. automodule:: sklearn.gaussian_process :no-members: :no-inherited-members:
User guide: See the :ref:`gaussian_process` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst gaussian_process.GaussianProcessClassifier gaussian_process.GaussianProcessRegressor
Kernels:
.. autosummary:: :toctree: generated/ :template: class_with_call.rst gaussian_process.kernels.CompoundKernel gaussian_process.kernels.ConstantKernel gaussian_process.kernels.DotProduct gaussian_process.kernels.ExpSineSquared gaussian_process.kernels.Exponentiation gaussian_process.kernels.Hyperparameter gaussian_process.kernels.Kernel gaussian_process.kernels.Matern gaussian_process.kernels.PairwiseKernel gaussian_process.kernels.Product gaussian_process.kernels.RBF gaussian_process.kernels.RationalQuadratic gaussian_process.kernels.Sum gaussian_process.kernels.WhiteKernel
:mod:`sklearn.isotonic`: Isotonic regression
.. automodule:: sklearn.isotonic :no-members: :no-inherited-members:
User guide: See the :ref:`isotonic` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst isotonic.IsotonicRegression
.. autosummary:: :toctree: generated :template: function.rst isotonic.check_increasing isotonic.isotonic_regression
:mod:`sklearn.impute`: Impute
.. automodule:: sklearn.impute :no-members: :no-inherited-members:
User guide: See the :ref:`Impute` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst impute.SimpleImputer impute.IterativeImputer impute.MissingIndicator
:mod:`sklearn.kernel_approximation` Kernel Approximation
.. automodule:: sklearn.kernel_approximation :no-members: :no-inherited-members:
User guide: See the :ref:`kernel_approximation` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst kernel_approximation.AdditiveChi2Sampler kernel_approximation.Nystroem kernel_approximation.RBFSampler kernel_approximation.SkewedChi2Sampler
:mod:`sklearn.kernel_ridge` Kernel Ridge Regression
.. automodule:: sklearn.kernel_ridge :no-members: :no-inherited-members:
User guide: See the :ref:`kernel_ridge` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst kernel_ridge.KernelRidge
:mod:`sklearn.linear_model`: Generalized Linear Models
.. automodule:: sklearn.linear_model :no-members: :no-inherited-members:
User guide: See the :ref:`linear_model` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst linear_model.ARDRegression linear_model.BayesianRidge linear_model.ElasticNet linear_model.ElasticNetCV linear_model.HuberRegressor linear_model.Lars linear_model.LarsCV linear_model.Lasso linear_model.LassoCV linear_model.LassoLars linear_model.LassoLarsCV linear_model.LassoLarsIC linear_model.LinearRegression linear_model.LogisticRegression linear_model.LogisticRegressionCV linear_model.MultiTaskLasso linear_model.MultiTaskElasticNet linear_model.MultiTaskLassoCV linear_model.MultiTaskElasticNetCV linear_model.OrthogonalMatchingPursuit linear_model.OrthogonalMatchingPursuitCV linear_model.PassiveAggressiveClassifier linear_model.PassiveAggressiveRegressor linear_model.Perceptron linear_model.RANSACRegressor linear_model.Ridge linear_model.RidgeClassifier linear_model.RidgeClassifierCV linear_model.RidgeCV linear_model.SGDClassifier linear_model.SGDRegressor linear_model.TheilSenRegressor
.. autosummary:: :toctree: generated/ :template: function.rst linear_model.enet_path linear_model.lars_path linear_model.lasso_path linear_model.orthogonal_mp linear_model.orthogonal_mp_gram linear_model.ridge_regression
:mod:`sklearn.manifold`: Manifold Learning
.. automodule:: sklearn.manifold :no-members: :no-inherited-members:
User guide: See the :ref:`manifold` section for further details.
.. currentmodule:: sklearn
.. autosummary::
:toctree: generated
:template: class.rst
manifold.Isomap
manifold.LocallyLinearEmbedding
manifold.MDS
manifold.SpectralEmbedding
manifold.TSNE
.. autosummary::
:toctree: generated
:template: function.rst
manifold.locally_linear_embedding
manifold.smacof
manifold.spectral_embedding
:mod:`sklearn.metrics`: Metrics
See the :ref:`model_evaluation` section and the :ref:`metrics` section of the user guide for further details.
.. automodule:: sklearn.metrics :no-members: :no-inherited-members:
.. currentmodule:: sklearn
See the :ref:`scoring_parameter` section of the user guide for further details.
.. autosummary:: :toctree: generated/ :template: function.rst metrics.check_scoring metrics.get_scorer metrics.make_scorer
See the :ref:`classification_metrics` section of the user guide for further details.
.. autosummary:: :toctree: generated/ :template: function.rst metrics.accuracy_score metrics.auc metrics.average_precision_score metrics.balanced_accuracy_score metrics.brier_score_loss metrics.classification_report metrics.cohen_kappa_score metrics.confusion_matrix metrics.f1_score metrics.fbeta_score metrics.hamming_loss metrics.hinge_loss metrics.jaccard_similarity_score metrics.log_loss metrics.matthews_corrcoef metrics.multilabel_confusion_matrix metrics.precision_recall_curve metrics.precision_recall_fscore_support metrics.precision_score metrics.recall_score metrics.roc_auc_score metrics.roc_curve metrics.zero_one_loss
See the :ref:`regression_metrics` section of the user guide for further details.
.. autosummary:: :toctree: generated/ :template: function.rst metrics.explained_variance_score metrics.max_error metrics.mean_absolute_error metrics.mean_squared_error metrics.mean_squared_log_error metrics.median_absolute_error metrics.r2_score
See the :ref:`multilabel_ranking_metrics` section of the user guide for further details.
.. autosummary:: :toctree: generated/ :template: function.rst metrics.coverage_error metrics.label_ranking_average_precision_score metrics.label_ranking_loss
See the :ref:`clustering_evaluation` section of the user guide for further details.
.. automodule:: sklearn.metrics.cluster :no-members: :no-inherited-members:
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: function.rst metrics.adjusted_mutual_info_score metrics.adjusted_rand_score metrics.calinski_harabasz_score metrics.davies_bouldin_score metrics.completeness_score metrics.cluster.contingency_matrix metrics.fowlkes_mallows_score metrics.homogeneity_completeness_v_measure metrics.homogeneity_score metrics.mutual_info_score metrics.normalized_mutual_info_score metrics.silhouette_score metrics.silhouette_samples metrics.v_measure_score
See the :ref:`biclustering_evaluation` section of the user guide for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: function.rst metrics.consensus_score
See the :ref:`metrics` section of the user guide for further details.
.. automodule:: sklearn.metrics.pairwise :no-members: :no-inherited-members:
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: function.rst metrics.pairwise.additive_chi2_kernel metrics.pairwise.chi2_kernel metrics.pairwise.cosine_similarity metrics.pairwise.cosine_distances metrics.pairwise.distance_metrics metrics.pairwise.euclidean_distances metrics.pairwise.kernel_metrics metrics.pairwise.laplacian_kernel metrics.pairwise.linear_kernel metrics.pairwise.manhattan_distances metrics.pairwise.pairwise_kernels metrics.pairwise.polynomial_kernel metrics.pairwise.rbf_kernel metrics.pairwise.sigmoid_kernel metrics.pairwise.paired_euclidean_distances metrics.pairwise.paired_manhattan_distances metrics.pairwise.paired_cosine_distances metrics.pairwise.paired_distances metrics.pairwise_distances metrics.pairwise_distances_argmin metrics.pairwise_distances_argmin_min metrics.pairwise_distances_chunked
:mod:`sklearn.mixture`: Gaussian Mixture Models
.. automodule:: sklearn.mixture :no-members: :no-inherited-members:
User guide: See the :ref:`mixture` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst mixture.BayesianGaussianMixture mixture.GaussianMixture
:mod:`sklearn.model_selection`: Model Selection
.. automodule:: sklearn.model_selection :no-members: :no-inherited-members:
User guide: See the :ref:`cross_validation`, :ref:`grid_search` and :ref:`learning_curve` sections for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst model_selection.GroupKFold model_selection.GroupShuffleSplit model_selection.KFold model_selection.LeaveOneGroupOut model_selection.LeavePGroupsOut model_selection.LeaveOneOut model_selection.LeavePOut model_selection.PredefinedSplit model_selection.RepeatedKFold model_selection.RepeatedStratifiedKFold model_selection.ShuffleSplit model_selection.StratifiedKFold model_selection.StratifiedShuffleSplit model_selection.TimeSeriesSplit
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: function.rst model_selection.check_cv model_selection.train_test_split
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst model_selection.GridSearchCV model_selection.ParameterGrid model_selection.ParameterSampler model_selection.RandomizedSearchCV
.. autosummary:: :toctree: generated/ :template: function.rst model_selection.fit_grid_point
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: function.rst model_selection.cross_validate model_selection.cross_val_predict model_selection.cross_val_score model_selection.learning_curve model_selection.permutation_test_score model_selection.validation_curve
:mod:`sklearn.multiclass`: Multiclass and multilabel classification
.. automodule:: sklearn.multiclass :no-members: :no-inherited-members:
User guide: See the :ref:`multiclass` section for further details.
.. currentmodule:: sklearn
.. autosummary::
:toctree: generated
:template: class.rst
multiclass.OneVsRestClassifier
multiclass.OneVsOneClassifier
multiclass.OutputCodeClassifier
:mod:`sklearn.multioutput`: Multioutput regression and classification
.. automodule:: sklearn.multioutput :no-members: :no-inherited-members:
User guide: See the :ref:`multiclass` section for further details.
.. currentmodule:: sklearn
.. autosummary::
:toctree: generated
:template: class.rst
multioutput.ClassifierChain
multioutput.MultiOutputRegressor
multioutput.MultiOutputClassifier
multioutput.RegressorChain
:mod:`sklearn.naive_bayes`: Naive Bayes
.. automodule:: sklearn.naive_bayes :no-members: :no-inherited-members:
User guide: See the :ref:`naive_bayes` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst naive_bayes.BernoulliNB naive_bayes.GaussianNB naive_bayes.MultinomialNB naive_bayes.ComplementNB
:mod:`sklearn.neighbors`: Nearest Neighbors
.. automodule:: sklearn.neighbors :no-members: :no-inherited-members:
User guide: See the :ref:`neighbors` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst neighbors.BallTree neighbors.DistanceMetric neighbors.KDTree neighbors.KernelDensity neighbors.KNeighborsClassifier neighbors.KNeighborsRegressor neighbors.LocalOutlierFactor neighbors.RadiusNeighborsClassifier neighbors.RadiusNeighborsRegressor neighbors.NearestCentroid neighbors.NearestNeighbors neighbors.NeighborhoodComponentsAnalysis
.. autosummary:: :toctree: generated/ :template: function.rst neighbors.kneighbors_graph neighbors.radius_neighbors_graph
:mod:`sklearn.neural_network`: Neural network models
.. automodule:: sklearn.neural_network :no-members: :no-inherited-members:
User guide: See the :ref:`neural_networks_supervised` and :ref:`neural_networks_unsupervised` sections for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst neural_network.BernoulliRBM neural_network.MLPClassifier neural_network.MLPRegressor
:mod:`sklearn.pipeline`: Pipeline
.. automodule:: sklearn.pipeline :no-members: :no-inherited-members:
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst pipeline.FeatureUnion pipeline.Pipeline
.. autosummary:: :toctree: generated/ :template: function.rst pipeline.make_pipeline pipeline.make_union
:mod:`sklearn.preprocessing`: Preprocessing and Normalization
.. automodule:: sklearn.preprocessing :no-members: :no-inherited-members:
User guide: See the :ref:`preprocessing` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst preprocessing.Binarizer preprocessing.FunctionTransformer preprocessing.KBinsDiscretizer preprocessing.KernelCenterer preprocessing.LabelBinarizer preprocessing.LabelEncoder preprocessing.MultiLabelBinarizer preprocessing.MaxAbsScaler preprocessing.MinMaxScaler preprocessing.Normalizer preprocessing.OneHotEncoder preprocessing.OrdinalEncoder preprocessing.PolynomialFeatures preprocessing.PowerTransformer preprocessing.QuantileTransformer preprocessing.RobustScaler preprocessing.StandardScaler
.. autosummary:: :toctree: generated/ :template: function.rst preprocessing.add_dummy_feature preprocessing.binarize preprocessing.label_binarize preprocessing.maxabs_scale preprocessing.minmax_scale preprocessing.normalize preprocessing.quantile_transform preprocessing.robust_scale preprocessing.scale preprocessing.power_transform
:mod:`sklearn.random_projection`: Random projection
.. automodule:: sklearn.random_projection :no-members: :no-inherited-members:
User guide: See the :ref:`random_projection` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst random_projection.GaussianRandomProjection random_projection.SparseRandomProjection
.. autosummary:: :toctree: generated/ :template: function.rst random_projection.johnson_lindenstrauss_min_dim
:mod:`sklearn.semi_supervised` Semi-Supervised Learning
.. automodule:: sklearn.semi_supervised :no-members: :no-inherited-members:
User guide: See the :ref:`semi_supervised` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst semi_supervised.LabelPropagation semi_supervised.LabelSpreading
:mod:`sklearn.svm`: Support Vector Machines
.. automodule:: sklearn.svm :no-members: :no-inherited-members:
User guide: See the :ref:`svm` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst svm.LinearSVC svm.LinearSVR svm.NuSVC svm.NuSVR svm.OneClassSVM svm.SVC svm.SVR
.. autosummary:: :toctree: generated/ :template: function.rst svm.l1_min_c
.. autosummary:: :toctree: generated :template: function.rst svm.libsvm.cross_validation svm.libsvm.decision_function svm.libsvm.fit svm.libsvm.predict svm.libsvm.predict_proba
:mod:`sklearn.tree`: Decision Trees
.. automodule:: sklearn.tree :no-members: :no-inherited-members:
User guide: See the :ref:`tree` section for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst tree.DecisionTreeClassifier tree.DecisionTreeRegressor tree.ExtraTreeClassifier tree.ExtraTreeRegressor
.. autosummary:: :toctree: generated/ :template: function.rst tree.export_graphviz tree.plot_tree tree.export_text
:mod:`sklearn.utils`: Utilities
.. automodule:: sklearn.utils :no-members: :no-inherited-members:
Developer guide: See the :ref:`developers-utils` page for further details.
.. currentmodule:: sklearn
.. autosummary:: :toctree: generated/ :template: class.rst utils.testing.mock_mldata_urlopen
.. autosummary:: :toctree: generated/ :template: function.rst utils.arrayfuncs.cholesky_delete utils.arrayfuncs.min_pos utils.as_float_array utils.assert_all_finite utils.check_X_y utils.check_array utils.check_scalar utils.check_consistent_length utils.check_random_state utils.class_weight.compute_class_weight utils.class_weight.compute_sample_weight utils.deprecated utils.estimator_checks.check_estimator utils.extmath.safe_sparse_dot utils.extmath.randomized_range_finder utils.extmath.randomized_svd utils.extmath.fast_logdet utils.extmath.density utils.extmath.weighted_mode utils.gen_even_slices utils.graph.single_source_shortest_path_length utils.graph_shortest_path.graph_shortest_path utils.indexable utils.metaestimators.if_delegate_has_method utils.multiclass.type_of_target utils.multiclass.is_multilabel utils.multiclass.unique_labels utils.murmurhash3_32 utils.resample utils.safe_indexing utils.safe_mask utils.safe_sqr utils.shuffle utils.sparsefuncs.incr_mean_variance_axis utils.sparsefuncs.inplace_column_scale utils.sparsefuncs.inplace_row_scale utils.sparsefuncs.inplace_swap_row utils.sparsefuncs.inplace_swap_column utils.sparsefuncs.mean_variance_axis utils.sparsefuncs.inplace_csr_column_scale utils.sparsefuncs_fast.inplace_csr_row_normalize_l1 utils.sparsefuncs_fast.inplace_csr_row_normalize_l2 utils.random.sample_without_replacement utils.validation.check_is_fitted utils.validation.check_memory utils.validation.check_symmetric utils.validation.column_or_1d utils.validation.has_fit_parameter utils.testing.assert_in utils.testing.assert_not_in utils.testing.assert_raise_message utils.testing.all_estimators
Utilities from joblib:
.. autosummary:: :toctree: generated/ :template: function.rst utils.parallel_backend utils.register_parallel_backend
.. autosummary:: :toctree: generated/ :template: deprecated_class.rst utils.Memory utils.Parallel
.. autosummary:: :toctree: generated/ :template: deprecated_function.rst utils.cpu_count utils.delayed metrics.calinski_harabaz_score linear_model.logistic_regression_path
.. autosummary:: :toctree: generated/ :template: deprecated_class.rst covariance.GraphLasso covariance.GraphLassoCV preprocessing.Imputer
.. autosummary:: :toctree: generated/ :template: deprecated_function.rst covariance.graph_lasso datasets.fetch_mldata datasets.mldata_filename