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Section Navigation

  • sklearn
    • config_context
    • get_config
    • set_config
    • show_versions
  • sklearn.base
    • BaseEstimator
    • BiclusterMixin
    • ClassNamePrefixFeaturesOutMixin
    • ClassifierMixin
    • ClusterMixin
    • DensityMixin
    • MetaEstimatorMixin
    • OneToOneFeatureMixin
    • OutlierMixin
    • RegressorMixin
    • TransformerMixin
    • clone
    • is_classifier
    • is_clusterer
    • is_regressor
    • is_outlier_detector
  • sklearn.calibration
    • CalibratedClassifierCV
    • calibration_curve
    • CalibrationDisplay
  • sklearn.cluster
    • AffinityPropagation
    • AgglomerativeClustering
    • Birch
    • BisectingKMeans
    • DBSCAN
    • FeatureAgglomeration
    • HDBSCAN
    • KMeans
    • MeanShift
    • MiniBatchKMeans
    • OPTICS
    • SpectralBiclustering
    • SpectralClustering
    • SpectralCoclustering
    • affinity_propagation
    • cluster_optics_dbscan
    • cluster_optics_xi
    • compute_optics_graph
    • dbscan
    • estimate_bandwidth
    • k_means
    • kmeans_plusplus
    • mean_shift
    • spectral_clustering
    • ward_tree
  • sklearn.compose
    • ColumnTransformer
    • TransformedTargetRegressor
    • make_column_selector
    • make_column_transformer
  • sklearn.covariance
    • EllipticEnvelope
    • EmpiricalCovariance
    • GraphicalLasso
    • GraphicalLassoCV
    • LedoitWolf
    • MinCovDet
    • OAS
    • ShrunkCovariance
    • empirical_covariance
    • graphical_lasso
    • ledoit_wolf
    • ledoit_wolf_shrinkage
    • oas
    • shrunk_covariance
  • sklearn.cross_decomposition
    • CCA
    • PLSCanonical
    • PLSRegression
    • PLSSVD
  • sklearn.datasets
    • clear_data_home
    • dump_svmlight_file
    • fetch_20newsgroups
    • fetch_20newsgroups_vectorized
    • fetch_california_housing
    • fetch_covtype
    • fetch_file
    • fetch_kddcup99
    • fetch_lfw_pairs
    • fetch_lfw_people
    • fetch_olivetti_faces
    • fetch_openml
    • fetch_rcv1
    • fetch_species_distributions
    • get_data_home
    • load_breast_cancer
    • load_diabetes
    • load_digits
    • load_files
    • load_iris
    • load_linnerud
    • load_sample_image
    • load_sample_images
    • load_svmlight_file
    • load_svmlight_files
    • load_wine
    • make_biclusters
    • make_blobs
    • make_checkerboard
    • make_circles
    • make_classification
    • make_friedman1
    • make_friedman2
    • make_friedman3
    • make_gaussian_quantiles
    • make_hastie_10_2
    • make_low_rank_matrix
    • make_moons
    • make_multilabel_classification
    • make_regression
    • make_s_curve
    • make_sparse_coded_signal
    • make_sparse_spd_matrix
    • make_sparse_uncorrelated
    • make_spd_matrix
    • make_swiss_roll
  • sklearn.decomposition
    • DictionaryLearning
    • FactorAnalysis
    • FastICA
    • IncrementalPCA
    • KernelPCA
    • LatentDirichletAllocation
    • MiniBatchDictionaryLearning
    • MiniBatchNMF
    • MiniBatchSparsePCA
    • NMF
    • PCA
    • SparseCoder
    • SparsePCA
    • TruncatedSVD
    • dict_learning
    • dict_learning_online
    • fastica
    • non_negative_factorization
    • sparse_encode
  • sklearn.discriminant_analysis
    • LinearDiscriminantAnalysis
    • QuadraticDiscriminantAnalysis
  • sklearn.dummy
    • DummyClassifier
    • DummyRegressor
  • sklearn.ensemble
    • AdaBoostClassifier
    • AdaBoostRegressor
    • BaggingClassifier
    • BaggingRegressor
    • ExtraTreesClassifier
    • ExtraTreesRegressor
    • GradientBoostingClassifier
    • GradientBoostingRegressor
    • HistGradientBoostingClassifier
    • HistGradientBoostingRegressor
    • IsolationForest
    • RandomForestClassifier
    • RandomForestRegressor
    • RandomTreesEmbedding
    • StackingClassifier
    • StackingRegressor
    • VotingClassifier
    • VotingRegressor
  • sklearn.exceptions
    • ConvergenceWarning
    • DataConversionWarning
    • DataDimensionalityWarning
    • EfficiencyWarning
    • FitFailedWarning
    • InconsistentVersionWarning
    • NotFittedError
    • UndefinedMetricWarning
    • EstimatorCheckFailedWarning
  • sklearn.experimental
    • enable_halving_search_cv
    • enable_iterative_imputer
  • sklearn.feature_extraction
    • DictVectorizer
    • FeatureHasher
    • PatchExtractor
    • extract_patches_2d
    • grid_to_graph
    • img_to_graph
    • reconstruct_from_patches_2d
    • CountVectorizer
    • HashingVectorizer
    • TfidfTransformer
    • TfidfVectorizer
  • sklearn.feature_selection
    • GenericUnivariateSelect
    • RFE
    • RFECV
    • SelectFdr
    • SelectFpr
    • SelectFromModel
    • SelectFwe
    • SelectKBest
    • SelectPercentile
    • SelectorMixin
    • SequentialFeatureSelector
    • VarianceThreshold
    • chi2
    • f_classif
    • f_regression
    • mutual_info_classif
    • mutual_info_regression
    • r_regression
  • sklearn.frozen
    • FrozenEstimator
  • sklearn.gaussian_process
    • GaussianProcessClassifier
    • GaussianProcessRegressor
    • CompoundKernel
    • ConstantKernel
    • DotProduct
    • ExpSineSquared
    • Exponentiation
    • Hyperparameter
    • Kernel
    • Matern
    • PairwiseKernel
    • Product
    • RBF
    • RationalQuadratic
    • Sum
    • WhiteKernel
  • sklearn.impute
    • IterativeImputer
    • KNNImputer
    • MissingIndicator
    • SimpleImputer
  • sklearn.inspection
    • partial_dependence
    • permutation_importance
    • DecisionBoundaryDisplay
    • PartialDependenceDisplay
  • sklearn.isotonic
    • IsotonicRegression
    • check_increasing
    • isotonic_regression
  • sklearn.kernel_approximation
    • AdditiveChi2Sampler
    • Nystroem
    • PolynomialCountSketch
    • RBFSampler
    • SkewedChi2Sampler
  • sklearn.kernel_ridge
    • KernelRidge
  • sklearn.linear_model
    • LogisticRegression
    • LogisticRegressionCV
    • PassiveAggressiveClassifier
    • Perceptron
    • RidgeClassifier
    • RidgeClassifierCV
    • SGDClassifier
    • SGDOneClassSVM
    • LinearRegression
    • Ridge
    • RidgeCV
    • SGDRegressor
    • ElasticNet
    • ElasticNetCV
    • Lars
    • LarsCV
    • Lasso
    • LassoCV
    • LassoLars
    • LassoLarsCV
    • LassoLarsIC
    • OrthogonalMatchingPursuit
    • OrthogonalMatchingPursuitCV
    • ARDRegression
    • BayesianRidge
    • MultiTaskElasticNet
    • MultiTaskElasticNetCV
    • MultiTaskLasso
    • MultiTaskLassoCV
    • HuberRegressor
    • QuantileRegressor
    • RANSACRegressor
    • TheilSenRegressor
    • GammaRegressor
    • PoissonRegressor
    • TweedieRegressor
    • PassiveAggressiveRegressor
    • enet_path
    • lars_path
    • lars_path_gram
    • lasso_path
    • orthogonal_mp
    • orthogonal_mp_gram
    • ridge_regression
  • sklearn.manifold
    • Isomap
    • LocallyLinearEmbedding
    • MDS
    • SpectralEmbedding
    • TSNE
    • locally_linear_embedding
    • smacof
    • spectral_embedding
    • trustworthiness
  • sklearn.metrics
    • check_scoring
    • get_scorer
    • get_scorer_names
    • make_scorer
    • accuracy_score
    • auc
    • average_precision_score
    • balanced_accuracy_score
    • brier_score_loss
    • class_likelihood_ratios
    • classification_report
    • cohen_kappa_score
    • confusion_matrix
    • d2_log_loss_score
    • dcg_score
    • det_curve
    • f1_score
    • fbeta_score
    • hamming_loss
    • hinge_loss
    • jaccard_score
    • log_loss
    • matthews_corrcoef
    • multilabel_confusion_matrix
    • ndcg_score
    • precision_recall_curve
    • precision_recall_fscore_support
    • precision_score
    • recall_score
    • roc_auc_score
    • roc_curve
    • top_k_accuracy_score
    • zero_one_loss
    • d2_absolute_error_score
    • d2_pinball_score
    • d2_tweedie_score
    • explained_variance_score
    • max_error
    • mean_absolute_error
    • mean_absolute_percentage_error
    • mean_gamma_deviance
    • mean_pinball_loss
    • mean_poisson_deviance
    • mean_squared_error
    • mean_squared_log_error
    • mean_tweedie_deviance
    • median_absolute_error
    • r2_score
    • root_mean_squared_error
    • root_mean_squared_log_error
    • coverage_error
    • label_ranking_average_precision_score
    • label_ranking_loss
    • adjusted_mutual_info_score
    • adjusted_rand_score
    • calinski_harabasz_score
    • contingency_matrix
    • pair_confusion_matrix
    • completeness_score
    • davies_bouldin_score
    • fowlkes_mallows_score
    • homogeneity_completeness_v_measure
    • homogeneity_score
    • mutual_info_score
    • normalized_mutual_info_score
    • rand_score
    • silhouette_samples
    • silhouette_score
    • v_measure_score
    • consensus_score
    • DistanceMetric
    • additive_chi2_kernel
    • chi2_kernel
    • cosine_distances
    • cosine_similarity
    • distance_metrics
    • euclidean_distances
    • haversine_distances
    • kernel_metrics
    • laplacian_kernel
    • linear_kernel
    • manhattan_distances
    • nan_euclidean_distances
    • paired_cosine_distances
    • paired_distances
    • paired_euclidean_distances
    • paired_manhattan_distances
    • pairwise_kernels
    • polynomial_kernel
    • rbf_kernel
    • sigmoid_kernel
    • pairwise_distances
    • pairwise_distances_argmin
    • pairwise_distances_argmin_min
    • pairwise_distances_chunked
    • ConfusionMatrixDisplay
    • DetCurveDisplay
    • PrecisionRecallDisplay
    • PredictionErrorDisplay
    • RocCurveDisplay
  • sklearn.mixture
    • BayesianGaussianMixture
    • GaussianMixture
  • sklearn.model_selection
    • GroupKFold
    • GroupShuffleSplit
    • KFold
    • LeaveOneGroupOut
    • LeaveOneOut
    • LeavePGroupsOut
    • LeavePOut
    • PredefinedSplit
    • RepeatedKFold
    • RepeatedStratifiedKFold
    • ShuffleSplit
    • StratifiedGroupKFold
    • StratifiedKFold
    • StratifiedShuffleSplit
    • TimeSeriesSplit
    • check_cv
    • train_test_split
    • GridSearchCV
    • HalvingGridSearchCV
    • HalvingRandomSearchCV
    • ParameterGrid
    • ParameterSampler
    • RandomizedSearchCV
    • FixedThresholdClassifier
    • TunedThresholdClassifierCV
    • cross_val_predict
    • cross_val_score
    • cross_validate
    • learning_curve
    • permutation_test_score
    • validation_curve
    • LearningCurveDisplay
    • ValidationCurveDisplay
  • sklearn.multiclass
    • OneVsOneClassifier
    • OneVsRestClassifier
    • OutputCodeClassifier
  • sklearn.multioutput
    • ClassifierChain
    • MultiOutputClassifier
    • MultiOutputRegressor
    • RegressorChain
  • sklearn.naive_bayes
    • BernoulliNB
    • CategoricalNB
    • ComplementNB
    • GaussianNB
    • MultinomialNB
  • sklearn.neighbors
    • BallTree
    • KDTree
    • KNeighborsClassifier
    • KNeighborsRegressor
    • KNeighborsTransformer
    • KernelDensity
    • LocalOutlierFactor
    • NearestCentroid
    • NearestNeighbors
    • NeighborhoodComponentsAnalysis
    • RadiusNeighborsClassifier
    • RadiusNeighborsRegressor
    • RadiusNeighborsTransformer
    • kneighbors_graph
    • radius_neighbors_graph
    • sort_graph_by_row_values
  • sklearn.neural_network
    • BernoulliRBM
    • MLPClassifier
    • MLPRegressor
  • sklearn.pipeline
    • FeatureUnion
    • Pipeline
    • make_pipeline
    • make_union
  • sklearn.preprocessing
    • Binarizer
    • FunctionTransformer
    • KBinsDiscretizer
    • KernelCenterer
    • LabelBinarizer
    • LabelEncoder
    • MaxAbsScaler
    • MinMaxScaler
    • MultiLabelBinarizer
    • Normalizer
    • OneHotEncoder
    • OrdinalEncoder
    • PolynomialFeatures
    • PowerTransformer
    • QuantileTransformer
    • RobustScaler
    • SplineTransformer
    • StandardScaler
    • TargetEncoder
    • add_dummy_feature
    • binarize
    • label_binarize
    • maxabs_scale
    • minmax_scale
    • normalize
    • power_transform
    • quantile_transform
    • robust_scale
    • scale
  • sklearn.random_projection
    • GaussianRandomProjection
    • SparseRandomProjection
    • johnson_lindenstrauss_min_dim
  • sklearn.semi_supervised
    • LabelPropagation
    • LabelSpreading
    • SelfTrainingClassifier
  • sklearn.svm
    • LinearSVC
    • LinearSVR
    • NuSVC
    • NuSVR
    • OneClassSVM
    • SVC
    • SVR
    • l1_min_c
  • sklearn.tree
    • DecisionTreeClassifier
    • DecisionTreeRegressor
    • ExtraTreeClassifier
    • ExtraTreeRegressor
    • export_graphviz
    • export_text
    • plot_tree
  • sklearn.utils
    • Bunch
    • _safe_indexing
    • as_float_array
    • assert_all_finite
    • deprecated
    • estimator_html_repr
    • gen_batches
    • gen_even_slices
    • indexable
    • murmurhash3_32
    • resample
    • safe_mask
    • safe_sqr
    • shuffle
    • Tags
    • InputTags
    • TargetTags
    • ClassifierTags
    • RegressorTags
    • TransformerTags
    • get_tags
    • check_X_y
    • check_array
    • check_consistent_length
    • check_random_state
    • check_scalar
    • check_is_fitted
    • check_memory
    • check_symmetric
    • column_or_1d
    • has_fit_parameter
    • validate_data
    • available_if
    • compute_class_weight
    • compute_sample_weight
    • is_multilabel
    • type_of_target
    • unique_labels
    • density
    • fast_logdet
    • randomized_range_finder
    • randomized_svd
    • safe_sparse_dot
    • weighted_mode
    • incr_mean_variance_axis
    • inplace_column_scale
    • inplace_csr_column_scale
    • inplace_row_scale
    • inplace_swap_column
    • inplace_swap_row
    • mean_variance_axis
    • inplace_csr_row_normalize_l1
    • inplace_csr_row_normalize_l2
    • single_source_shortest_path_length
    • sample_without_replacement
    • min_pos
    • MetadataRequest
    • MetadataRouter
    • MethodMapping
    • get_routing_for_object
    • process_routing
    • all_displays
    • all_estimators
    • all_functions
    • check_estimator
    • parametrize_with_checks
    • estimator_checks_generator
    • Parallel
    • delayed
  • Recently Deprecated
    • parallel_backend
    • register_parallel_backend
  • API Reference
  • Recently Deprecated

Recently Deprecated#

To be removed in 1.7

utils.parallel_backend

utils.register_parallel_backend

Register a new Parallel backend factory.

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delayed

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parallel_backend

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