Upgrading scikit-learn 0.21 to 0.22
Breaking0.21.3 → 0.22.2.post1Platform1Fixed1
BreakingUpgrade verdict
A platform requirement change.
In plain terms
- This version of scikit-learn works with Python 3.5 through 3.8.
Must act 1 item needs code or config changes
What you must change
Platform1
Supports Python versions 3.5 to 3.8.
API changes
Generated by DepDelta from published Python source. Not mixed with prose notes.
- changed:
class MultiOutputMixin(object) → class MultiOutputMixin
- changed:
class CalibratedClassifierCV(BaseEstimator, ClassifierMixin) → class CalibratedClassifierCV(BaseEstimator, ClassifierMixin, MetaEstimatorMixin)
- removed:
class AffinityPropagation(BaseEstimator, ClusterMixin) - removed:
constructor AffinityPropagation(damping=…, max_iter=…, convergence_iter=…, copy=…, preference=…, affinity=…, verbose=…) - removed:
function affinity_propagation(S, preference=…, convergence_iter=…, max_iter=…, damping=…, copy=…, verbose=…, return_n_iter=…) - removed:
method AffinityPropagation.fit(X, y=…) - removed:
method AffinityPropagation.predict(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class SpectralBiclustering(BaseSpectral) - removed:
class SpectralCoclustering(BaseSpectral) - removed:
constructor SpectralBiclustering(n_clusters=…, method=…, n_components=…, n_best=…, svd_method=…, n_svd_vecs=…, mini_batch=…, init=…, n_init=…, n_jobs=…, random_state=…) - removed:
constructor SpectralCoclustering(n_clusters=…, svd_method=…, n_svd_vecs=…, mini_batch=…, init=…, n_init=…, n_jobs=…, random_state=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class Birch(BaseEstimator, TransformerMixin, ClusterMixin) - removed:
constructor Birch(threshold=…, branching_factor=…, n_clusters=…, compute_labels=…, copy=…) - removed:
method Birch.fit(X, y=…) - removed:
method Birch.partial_fit(X=…, y=…) - removed:
method Birch.predict(X) - removed:
method Birch.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class DBSCAN(BaseEstimator, ClusterMixin) - removed:
constructor DBSCAN(eps=…, min_samples=…, metric=…, metric_params=…, algorithm=…, leaf_size=…, p=…, n_jobs=…) - removed:
function dbscan(X, eps=…, min_samples=…, metric=…, metric_params=…, algorithm=…, leaf_size=…, p=…, sample_weight=…, n_jobs=…) - removed:
method DBSCAN.fit(X, y=…, sample_weight=…) - removed:
method DBSCAN.fit_predict(X, y=…, sample_weight=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class AgglomerativeClustering(BaseEstimator, ClusterMixin) - removed:
class FeatureAgglomeration(AgglomerativeClustering, AgglomerationTransform) - removed:
constructor AgglomerativeClustering(n_clusters=…, affinity=…, memory=…, connectivity=…, compute_full_tree=…, linkage=…, pooling_func=…, distance_threshold=…) - removed:
constructor FeatureAgglomeration(n_clusters=…, affinity=…, memory=…, connectivity=…, compute_full_tree=…, linkage=…, pooling_func=…, distance_threshold=…) - removed:
function linkage_tree(X, connectivity=…, n_clusters=…, linkage=…, affinity=…, return_distance=…) - removed:
function ward_tree(X, connectivity=…, n_clusters=…, return_distance=…) - removed:
method AgglomerativeClustering.fit(X, y=…) - removed:
method FeatureAgglomeration.fit(X, y=…, **params) - removed:
property AgglomerativeClustering.n_components_ - removed:
property FeatureAgglomeration.fit_predict - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class KMeans(BaseEstimator, ClusterMixin, TransformerMixin) - removed:
class MiniBatchKMeans(KMeans) - removed:
constructor KMeans(n_clusters=…, init=…, n_init=…, max_iter=…, tol=…, precompute_distances=…, verbose=…, random_state=…, copy_x=…, n_jobs=…, algorithm=…) - removed:
constructor MiniBatchKMeans(n_clusters=…, init=…, max_iter=…, batch_size=…, verbose=…, compute_labels=…, random_state=…, tol=…, max_no_improvement=…, init_size=…, n_init=…, reassignment_ratio=…) - removed:
function k_means(X, n_clusters, sample_weight=…, init=…, precompute_distances=…, n_init=…, max_iter=…, verbose=…, tol=…, random_state=…, copy_x=…, n_jobs=…, algorithm=…, return_n_iter=…) - removed:
method KMeans.fit(X, y=…, sample_weight=…) - removed:
method KMeans.fit_predict(X, y=…, sample_weight=…) - removed:
method KMeans.fit_transform(X, y=…, sample_weight=…) - removed:
method KMeans.predict(X, sample_weight=…) - removed:
method KMeans.score(X, y=…, sample_weight=…) - removed:
method KMeans.transform(X) - removed:
method MiniBatchKMeans.fit(X, y=…, sample_weight=…) - removed:
method MiniBatchKMeans.partial_fit(X, y=…, sample_weight=…) - removed:
method MiniBatchKMeans.predict(X, sample_weight=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class MeanShift(BaseEstimator, ClusterMixin) - removed:
constructor MeanShift(bandwidth=…, seeds=…, bin_seeding=…, min_bin_freq=…, cluster_all=…, n_jobs=…) - removed:
function estimate_bandwidth(X, quantile=…, n_samples=…, random_state=…, n_jobs=…) - removed:
function get_bin_seeds(X, bin_size, min_bin_freq=…) - removed:
function mean_shift(X, bandwidth=…, seeds=…, bin_seeding=…, min_bin_freq=…, cluster_all=…, max_iter=…, n_jobs=…) - removed:
method MeanShift.fit(X, y=…) - removed:
method MeanShift.predict(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class OPTICS(BaseEstimator, ClusterMixin) - removed:
constructor OPTICS(min_samples=…, max_eps=…, metric=…, p=…, metric_params=…, cluster_method=…, eps=…, xi=…, predecessor_correction=…, min_cluster_size=…, algorithm=…, leaf_size=…, n_jobs=…) - removed:
function cluster_optics_dbscan(reachability, core_distances, ordering, eps) - removed:
function cluster_optics_xi(reachability, predecessor, ordering, min_samples, min_cluster_size=…, xi=…, predecessor_correction=…) - removed:
function compute_optics_graph(X, min_samples, max_eps, metric, p, metric_params, algorithm, leaf_size, n_jobs) - removed:
method OPTICS.fit(X, y=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class SpectralClustering(BaseEstimator, ClusterMixin) - removed:
constructor SpectralClustering(n_clusters=…, eigen_solver=…, random_state=…, n_init=…, gamma=…, affinity=…, n_neighbors=…, eigen_tol=…, assign_labels=…, degree=…, coef0=…, kernel_params=…, n_jobs=…) - removed:
function discretize(vectors, copy=…, max_svd_restarts=…, n_iter_max=…, random_state=…) - removed:
function spectral_clustering(affinity, n_clusters=…, n_components=…, eigen_solver=…, random_state=…, n_init=…, eigen_tol=…, assign_labels=…) - removed:
method SpectralClustering.fit(X, y=…) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
export make_column_selector
- removed:
export GraphLasso - removed:
export GraphLassoCV - removed:
export graph_lasso
- removed:
class EllipticEnvelope(MinCovDet, OutlierMixin) - removed:
constructor EllipticEnvelope(store_precision=…, assume_centered=…, support_fraction=…, contamination=…, random_state=…) - removed:
method EllipticEnvelope.decision_function(X, raw_values=…) - removed:
method EllipticEnvelope.fit(X, y=…) - removed:
method EllipticEnvelope.predict(X) - removed:
method EllipticEnvelope.score(X, y, sample_weight=…) - removed:
method EllipticEnvelope.score_samples(X) - removed:
property EllipticEnvelope.threshold_ - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class EmpiricalCovariance(BaseEstimator) - removed:
constructor EmpiricalCovariance(store_precision=…, assume_centered=…) - removed:
function empirical_covariance(X, assume_centered=…) - removed:
function log_likelihood(emp_cov, precision) - removed:
method EmpiricalCovariance.error_norm(comp_cov, norm=…, scaling=…, squared=…) - removed:
method EmpiricalCovariance.fit(X, y=…) - removed:
method EmpiricalCovariance.get_precision() - removed:
method EmpiricalCovariance.mahalanobis(X) - removed:
method EmpiricalCovariance.score(X_test, y=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class GraphLasso(GraphicalLasso) - removed:
class GraphLassoCV(GraphicalLassoCV) - removed:
class GraphicalLasso(EmpiricalCovariance) - removed:
class GraphicalLassoCV(GraphicalLasso) - removed:
constructor GraphicalLasso(alpha=…, mode=…, tol=…, enet_tol=…, max_iter=…, verbose=…, assume_centered=…) - removed:
constructor GraphicalLassoCV(alphas=…, n_refinements=…, cv=…, tol=…, enet_tol=…, max_iter=…, mode=…, n_jobs=…, verbose=…, assume_centered=…) - removed:
function alpha_max(emp_cov) - removed:
function graph_lasso(emp_cov, alpha, cov_init=…, mode=…, tol=…, enet_tol=…, max_iter=…, verbose=…, return_costs=…, eps=…, return_n_iter=…) - removed:
function graphical_lasso(emp_cov, alpha, cov_init=…, mode=…, tol=…, enet_tol=…, max_iter=…, verbose=…, return_costs=…, eps=…, return_n_iter=…) - removed:
function graphical_lasso_path(X, alphas, cov_init=…, X_test=…, mode=…, tol=…, enet_tol=…, max_iter=…, verbose=…) - removed:
method GraphicalLasso.fit(X, y=…) - removed:
method GraphicalLassoCV.fit(X, y=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class MinCovDet(EmpiricalCovariance) - removed:
constructor MinCovDet(store_precision=…, assume_centered=…, support_fraction=…, random_state=…) - removed:
function c_step(X, n_support, remaining_iterations=…, initial_estimates=…, verbose=…, cov_computation_method=…, random_state=…) - removed:
function fast_mcd(X, support_fraction=…, cov_computation_method=…, random_state=…) - removed:
function select_candidates(X, n_support, n_trials, select=…, n_iter=…, verbose=…, cov_computation_method=…, random_state=…) - removed:
method MinCovDet.correct_covariance(data) - removed:
method MinCovDet.fit(X, y=…) - removed:
method MinCovDet.reweight_covariance(data) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class LedoitWolf(EmpiricalCovariance) - removed:
class OAS(EmpiricalCovariance) - removed:
class ShrunkCovariance(EmpiricalCovariance) - removed:
constructor LedoitWolf(store_precision=…, assume_centered=…, block_size=…) - removed:
constructor ShrunkCovariance(store_precision=…, assume_centered=…, shrinkage=…) - removed:
function ledoit_wolf(X, assume_centered=…, block_size=…) - removed:
function ledoit_wolf_shrinkage(X, assume_centered=…, block_size=…) - removed:
function oas(X, assume_centered=…) - removed:
function shrunk_covariance(emp_cov, shrinkage=…) - removed:
method LedoitWolf.fit(X, y=…) - removed:
method OAS.fit(X, y=…) - removed:
method ShrunkCovariance.fit(X, y=…) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
export CCA - added:
export PLSCanonical - added:
export PLSRegression - added:
export PLSSVD
- removed:
class CCA(_PLS, _UnstableArchMixin) - removed:
constructor CCA(n_components=…, scale=…, max_iter=…, tol=…, copy=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class PLSCanonical(_PLS) - removed:
class PLSRegression(_PLS) - removed:
class PLSSVD(BaseEstimator, TransformerMixin) - removed:
constructor PLSCanonical(n_components=…, scale=…, algorithm=…, max_iter=…, tol=…, copy=…) - removed:
constructor PLSRegression(n_components=…, scale=…, max_iter=…, tol=…, copy=…) - removed:
constructor PLSSVD(n_components=…, scale=…, copy=…) - removed:
method PLSSVD.fit(X, Y) - removed:
method PLSSVD.fit_transform(X, y=…) - removed:
method PLSSVD.transform(X, Y=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
export fetch_mldata - removed:
export mldata_filename
- removed:
function clear_data_home(data_home=…) - removed:
function get_data_home(data_home=…) - removed:
function load_boston(return_X_y=…) - removed:
function load_breast_cancer(return_X_y=…) - removed:
function load_data(module_path, data_file_name) - removed:
function load_diabetes(return_X_y=…) - removed:
function load_digits(n_class=…, return_X_y=…) - removed:
function load_files(container_path, description=…, categories=…, load_content=…, shuffle=…, encoding=…, decode_error=…, random_state=…) - removed:
function load_iris(return_X_y=…) - removed:
function load_linnerud(return_X_y=…) - removed:
function load_sample_image(image_name) - removed:
function load_sample_images() - removed:
function load_wine(return_X_y=…) - removed:
variable RemoteFileMetadata - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function fetch_california_housing(data_home=…, download_if_missing=…, return_X_y=…) - removed:
variable ARCHIVE - removed:
variable logger - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function fetch_covtype(data_home=…, download_if_missing=…, random_state=…, shuffle=…, return_X_y=…) - removed:
variable ARCHIVE - removed:
variable logger - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function fetch_kddcup99(subset=…, data_home=…, shuffle=…, random_state=…, percent10=…, download_if_missing=…, return_X_y=…) - removed:
variable ARCHIVE - removed:
variable ARCHIVE_10_PERCENT - removed:
variable logger - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function fetch_lfw_pairs(subset=…, data_home=…, funneled=…, resize=…, color=…, slice_=…, download_if_missing=…) - removed:
function fetch_lfw_people(data_home=…, funneled=…, resize=…, min_faces_per_person=…, color=…, slice_=…, download_if_missing=…, return_X_y=…) - removed:
function scale_face(face) - removed:
variable ARCHIVE - removed:
variable FUNNELED_ARCHIVE - removed:
variable TARGETS - removed:
variable logger - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function fetch_mldata(dataname, target_name=…, data_name=…, transpose_data=…, data_home=…) - removed:
function mldata_filename(dataname) - removed:
function setup_module(module) - removed:
function teardown_module(module) - removed:
variable MLDATA_BASE_URL
- removed:
function fetch_olivetti_faces(data_home=…, shuffle=…, random_state=…, download_if_missing=…) - removed:
variable FACES - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function fetch_openml(name=…, version=…, data_id=…, data_home=…, target_column=…, cache=…, return_X_y=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function fetch_rcv1(data_home=…, subset=…, download_if_missing=…, random_state=…, shuffle=…, return_X_y=…) - removed:
variable TOPICS_METADATA - removed:
variable XY_METADATA - removed:
variable logger - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function make_biclusters(shape, n_clusters, noise=…, minval=…, maxval=…, shuffle=…, random_state=…) - removed:
function make_blobs(n_samples=…, n_features=…, centers=…, cluster_std=…, center_box=…, shuffle=…, random_state=…) - removed:
function make_checkerboard(shape, n_clusters, noise=…, minval=…, maxval=…, shuffle=…, random_state=…) - removed:
function make_circles(n_samples=…, shuffle=…, noise=…, random_state=…, factor=…) - removed:
function make_classification(n_samples=…, n_features=…, n_informative=…, n_redundant=…, n_repeated=…, n_classes=…, n_clusters_per_class=…, weights=…, flip_y=…, class_sep=…, hypercube=…, shift=…, scale=…, shuffle=…, random_state=…) - removed:
function make_friedman1(n_samples=…, n_features=…, noise=…, random_state=…) - removed:
function make_friedman2(n_samples=…, noise=…, random_state=…) - removed:
function make_friedman3(n_samples=…, noise=…, random_state=…) - removed:
function make_gaussian_quantiles(mean=…, cov=…, n_samples=…, n_features=…, n_classes=…, shuffle=…, random_state=…) - removed:
function make_hastie_10_2(n_samples=…, random_state=…) - removed:
function make_low_rank_matrix(n_samples=…, n_features=…, effective_rank=…, tail_strength=…, random_state=…) - removed:
function make_moons(n_samples=…, shuffle=…, noise=…, random_state=…) - removed:
function make_multilabel_classification(n_samples=…, n_features=…, n_classes=…, n_labels=…, length=…, allow_unlabeled=…, sparse=…, return_indicator=…, return_distributions=…, random_state=…) - removed:
function make_regression(n_samples=…, n_features=…, n_informative=…, n_targets=…, bias=…, effective_rank=…, tail_strength=…, noise=…, shuffle=…, coef=…, random_state=…) - removed:
function make_s_curve(n_samples=…, noise=…, random_state=…) - removed:
function make_sparse_coded_signal(n_samples, n_components, n_features, n_nonzero_coefs, random_state=…) - removed:
function make_sparse_spd_matrix(dim=…, alpha=…, norm_diag=…, smallest_coef=…, largest_coef=…, random_state=…) - removed:
function make_sparse_uncorrelated(n_samples=…, n_features=…, random_state=…) - removed:
function make_spd_matrix(n_dim, random_state=…) - removed:
function make_swiss_roll(n_samples=…, noise=…, random_state=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function construct_grids(batch) - removed:
function fetch_species_distributions(data_home=…, download_if_missing=…) - removed:
variable COVERAGES - removed:
variable DATA_ARCHIVE_NAME - removed:
variable SAMPLES - removed:
variable logger - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function dump_svmlight_file(X, y, f, zero_based=…, comment=…, query_id=…, multilabel=…) - removed:
function load_svmlight_file(f, n_features=…, dtype=…, multilabel=…, zero_based=…, query_id=…, offset=…, length=…) - removed:
function load_svmlight_files(files, n_features=…, dtype=…, multilabel=…, zero_based=…, query_id=…, offset=…, length=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function download_20newsgroups(target_dir, cache_path) - removed:
function fetch_20newsgroups(data_home=…, subset=…, categories=…, shuffle=…, random_state=…, remove=…, download_if_missing=…) - removed:
function fetch_20newsgroups_vectorized(subset=…, remove=…, data_home=…, download_if_missing=…, return_X_y=…) - removed:
function strip_newsgroup_footer(text) - removed:
function strip_newsgroup_header(text) - removed:
function strip_newsgroup_quoting(text) - removed:
variable ARCHIVE - removed:
variable CACHE_NAME - removed:
variable TEST_FOLDER - removed:
variable TRAIN_FOLDER - removed:
variable logger - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
export dict_learning
- added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class DictionaryLearning(BaseEstimator, SparseCodingMixin) - removed:
class MiniBatchDictionaryLearning(BaseEstimator, SparseCodingMixin) - removed:
class SparseCoder(BaseEstimator, SparseCodingMixin) - removed:
class SparseCodingMixin(TransformerMixin) - removed:
constructor DictionaryLearning(n_components=…, alpha=…, max_iter=…, tol=…, fit_algorithm=…, transform_algorithm=…, transform_n_nonzero_coefs=…, transform_alpha=…, n_jobs=…, code_init=…, dict_init=…, verbose=…, split_sign=…, random_state=…, positive_code=…, positive_dict=…) - removed:
constructor MiniBatchDictionaryLearning(n_components=…, alpha=…, n_iter=…, fit_algorithm=…, n_jobs=…, batch_size=…, shuffle=…, dict_init=…, transform_algorithm=…, transform_n_nonzero_coefs=…, transform_alpha=…, verbose=…, split_sign=…, random_state=…, positive_code=…, positive_dict=…) - removed:
constructor SparseCoder(dictionary, transform_algorithm=…, transform_n_nonzero_coefs=…, transform_alpha=…, split_sign=…, n_jobs=…, positive_code=…) - removed:
function dict_learning(X, n_components, alpha, max_iter=…, tol=…, method=…, n_jobs=…, dict_init=…, code_init=…, callback=…, verbose=…, random_state=…, return_n_iter=…, positive_dict=…, positive_code=…) - removed:
function dict_learning_online(X, n_components=…, alpha=…, n_iter=…, return_code=…, dict_init=…, callback=…, batch_size=…, verbose=…, shuffle=…, n_jobs=…, method=…, iter_offset=…, random_state=…, return_inner_stats=…, inner_stats=…, return_n_iter=…, positive_dict=…, positive_code=…) - removed:
function sparse_encode(X, dictionary, gram=…, cov=…, algorithm=…, n_nonzero_coefs=…, alpha=…, copy_cov=…, init=…, max_iter=…, n_jobs=…, check_input=…, verbose=…, positive=…) - removed:
method DictionaryLearning.fit(X, y=…) - removed:
method MiniBatchDictionaryLearning.fit(X, y=…) - removed:
method MiniBatchDictionaryLearning.partial_fit(X, y=…, iter_offset=…) - removed:
method SparseCoder.fit(X, y=…) - removed:
method SparseCodingMixin.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class FactorAnalysis(BaseEstimator, TransformerMixin) - removed:
constructor FactorAnalysis(n_components=…, tol=…, copy=…, max_iter=…, noise_variance_init=…, svd_method=…, iterated_power=…, random_state=…) - removed:
method FactorAnalysis.fit(X, y=…) - removed:
method FactorAnalysis.get_covariance() - removed:
method FactorAnalysis.get_precision() - removed:
method FactorAnalysis.score(X, y=…) - removed:
method FactorAnalysis.score_samples(X) - removed:
method FactorAnalysis.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class FastICA(BaseEstimator, TransformerMixin) - removed:
constructor FastICA(n_components=…, algorithm=…, whiten=…, fun=…, fun_args=…, max_iter=…, tol=…, w_init=…, random_state=…) - removed:
function fastica(X, n_components=…, algorithm=…, whiten=…, fun=…, fun_args=…, max_iter=…, tol=…, w_init=…, random_state=…, return_X_mean=…, compute_sources=…, return_n_iter=…) - removed:
method FastICA.fit(X, y=…) - removed:
method FastICA.fit_transform(X, y=…) - removed:
method FastICA.inverse_transform(X, copy=…) - removed:
method FastICA.transform(X, copy=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class IncrementalPCA(_BasePCA) - removed:
constructor IncrementalPCA(n_components=…, whiten=…, copy=…, batch_size=…) - removed:
method IncrementalPCA.fit(X, y=…) - removed:
method IncrementalPCA.partial_fit(X, y=…, check_input=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class KernelPCA(BaseEstimator, TransformerMixin) - removed:
constructor KernelPCA(n_components=…, kernel=…, gamma=…, degree=…, coef0=…, kernel_params=…, alpha=…, fit_inverse_transform=…, eigen_solver=…, tol=…, max_iter=…, remove_zero_eig=…, random_state=…, copy_X=…, n_jobs=…) - removed:
method KernelPCA.fit(X, y=…) - removed:
method KernelPCA.fit_transform(X, y=…, **params) - removed:
method KernelPCA.inverse_transform(X) - removed:
method KernelPCA.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class NMF(BaseEstimator, TransformerMixin) - removed:
constructor NMF(n_components=…, init=…, solver=…, beta_loss=…, tol=…, max_iter=…, random_state=…, alpha=…, l1_ratio=…, verbose=…, shuffle=…) - removed:
function non_negative_factorization(X, W=…, H=…, n_components=…, init=…, update_H=…, solver=…, beta_loss=…, tol=…, max_iter=…, alpha=…, l1_ratio=…, regularization=…, random_state=…, verbose=…, shuffle=…) - removed:
function norm(x) - removed:
function trace_dot(X, Y) - removed:
method NMF.fit(X, y=…, **params) - removed:
method NMF.fit_transform(X, y=…, W=…, H=…) - removed:
method NMF.inverse_transform(W) - removed:
method NMF.transform(X) - removed:
variable EPSILON - removed:
variable INTEGER_TYPES - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class LatentDirichletAllocation(BaseEstimator, TransformerMixin) - removed:
constructor LatentDirichletAllocation(n_components=…, doc_topic_prior=…, topic_word_prior=…, learning_method=…, learning_decay=…, learning_offset=…, max_iter=…, batch_size=…, evaluate_every=…, total_samples=…, perp_tol=…, mean_change_tol=…, max_doc_update_iter=…, n_jobs=…, verbose=…, random_state=…) - removed:
method LatentDirichletAllocation.fit(X, y=…) - removed:
method LatentDirichletAllocation.partial_fit(X, y=…) - removed:
method LatentDirichletAllocation.perplexity(X, sub_sampling=…) - removed:
method LatentDirichletAllocation.score(X, y=…) - removed:
method LatentDirichletAllocation.transform(X) - removed:
variable EPS - added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class PCA(_BasePCA) - removed:
constructor PCA(n_components=…, copy=…, whiten=…, svd_solver=…, tol=…, iterated_power=…, random_state=…) - removed:
method PCA.fit(X, y=…) - removed:
method PCA.fit_transform(X, y=…) - removed:
method PCA.score(X, y=…) - removed:
method PCA.score_samples(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class MiniBatchSparsePCA(SparsePCA) - removed:
class SparsePCA(BaseEstimator, TransformerMixin) - removed:
constructor MiniBatchSparsePCA(n_components=…, alpha=…, ridge_alpha=…, n_iter=…, callback=…, batch_size=…, verbose=…, shuffle=…, n_jobs=…, method=…, random_state=…, normalize_components=…) - removed:
constructor SparsePCA(n_components=…, alpha=…, ridge_alpha=…, max_iter=…, tol=…, method=…, n_jobs=…, U_init=…, V_init=…, verbose=…, random_state=…, normalize_components=…) - removed:
method MiniBatchSparsePCA.fit(X, y=…) - removed:
method SparsePCA.fit(X, y=…) - removed:
method SparsePCA.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class TruncatedSVD(BaseEstimator, TransformerMixin) - removed:
constructor TruncatedSVD(n_components=…, algorithm=…, n_iter=…, random_state=…, tol=…) - removed:
method TruncatedSVD.fit(X, y=…) - removed:
method TruncatedSVD.fit_transform(X, y=…) - removed:
method TruncatedSVD.inverse_transform(X) - removed:
method TruncatedSVD.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- changed:
class QuadraticDiscriminantAnalysis(BaseEstimator, ClassifierMixin) → class QuadraticDiscriminantAnalysis(ClassifierMixin, BaseEstimator)
- changed:
class DummyClassifier(BaseEstimator, ClassifierMixin, MultiOutputMixin) → class DummyClassifier(MultiOutputMixin, ClassifierMixin, BaseEstimator) - changed:
class DummyRegressor(BaseEstimator, RegressorMixin, MultiOutputMixin) → class DummyRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator) - added:
property DummyClassifier.outputs_2d_ - added:
property DummyRegressor.outputs_2d_
- removed:
export bagging - removed:
export forest - removed:
export gradient_boosting - removed:
export weight_boosting - added:
export StackingClassifier - added:
export StackingRegressor
- removed:
class BaggingClassifier(BaseBagging, ClassifierMixin) - removed:
class BaggingRegressor(BaseBagging, RegressorMixin) - removed:
constructor BaggingClassifier(base_estimator=…, n_estimators=…, max_samples=…, max_features=…, bootstrap=…, bootstrap_features=…, oob_score=…, warm_start=…, n_jobs=…, random_state=…, verbose=…) - removed:
constructor BaggingRegressor(base_estimator=…, n_estimators=…, max_samples=…, max_features=…, bootstrap=…, bootstrap_features=…, oob_score=…, warm_start=…, n_jobs=…, random_state=…, verbose=…) - removed:
method BaggingClassifier.decision_function(X) - removed:
method BaggingClassifier.predict(X) - removed:
method BaggingClassifier.predict_log_proba(X) - removed:
method BaggingClassifier.predict_proba(X) - removed:
method BaggingRegressor.predict(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class BaseEnsemble(BaseEstimator, MetaEstimatorMixin) - removed:
constructor BaseEnsemble(base_estimator, n_estimators=…, estimator_params=…) - removed:
variable MAX_RAND_SEED - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class ExtraTreesClassifier(ForestClassifier) - removed:
class ExtraTreesRegressor(ForestRegressor) - removed:
class RandomForestClassifier(ForestClassifier) - removed:
class RandomForestRegressor(ForestRegressor) - removed:
class RandomTreesEmbedding(BaseForest) - removed:
constructor ExtraTreesClassifier(n_estimators=…, criterion=…, max_depth=…, min_samples_split=…, min_samples_leaf=…, min_weight_fraction_leaf=…, max_features=…, max_leaf_nodes=…, min_impurity_decrease=…, min_impurity_split=…, bootstrap=…, oob_score=…, n_jobs=…, random_state=…, verbose=…, warm_start=…, class_weight=…) - removed:
constructor ExtraTreesRegressor(n_estimators=…, criterion=…, max_depth=…, min_samples_split=…, min_samples_leaf=…, min_weight_fraction_leaf=…, max_features=…, max_leaf_nodes=…, min_impurity_decrease=…, min_impurity_split=…, bootstrap=…, oob_score=…, n_jobs=…, random_state=…, verbose=…, warm_start=…) - removed:
constructor RandomForestClassifier(n_estimators=…, criterion=…, max_depth=…, min_samples_split=…, min_samples_leaf=…, min_weight_fraction_leaf=…, max_features=…, max_leaf_nodes=…, min_impurity_decrease=…, min_impurity_split=…, bootstrap=…, oob_score=…, n_jobs=…, random_state=…, verbose=…, warm_start=…, class_weight=…) - removed:
constructor RandomForestRegressor(n_estimators=…, criterion=…, max_depth=…, min_samples_split=…, min_samples_leaf=…, min_weight_fraction_leaf=…, max_features=…, max_leaf_nodes=…, min_impurity_decrease=…, min_impurity_split=…, bootstrap=…, oob_score=…, n_jobs=…, random_state=…, verbose=…, warm_start=…) - removed:
constructor RandomTreesEmbedding(n_estimators=…, max_depth=…, min_samples_split=…, min_samples_leaf=…, min_weight_fraction_leaf=…, max_leaf_nodes=…, min_impurity_decrease=…, min_impurity_split=…, sparse_output=…, n_jobs=…, random_state=…, verbose=…, warm_start=…) - removed:
field RandomTreesEmbedding.criterion - removed:
field RandomTreesEmbedding.max_features - removed:
method RandomTreesEmbedding.fit(X, y=…, sample_weight=…) - removed:
method RandomTreesEmbedding.fit_transform(X, y=…, sample_weight=…) - removed:
method RandomTreesEmbedding.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class BaseGradientBoosting(BaseEnsemble) - removed:
class BinomialDeviance(ClassificationLossFunction) - removed:
class ClassificationLossFunction(LossFunction) - removed:
class ExponentialLoss(ClassificationLossFunction) - removed:
class GradientBoostingClassifier(BaseGradientBoosting, ClassifierMixin) - removed:
class GradientBoostingRegressor(BaseGradientBoosting, RegressorMixin) - removed:
class HuberLossFunction(RegressionLossFunction) - removed:
class LeastAbsoluteError(RegressionLossFunction) - removed:
class LeastSquaresError(RegressionLossFunction) - removed:
class LogOddsEstimator - removed:
class LossFunction - removed:
class MeanEstimator - removed:
class MultinomialDeviance(ClassificationLossFunction) - removed:
class PriorProbabilityEstimator - removed:
class QuantileEstimator - removed:
class QuantileLossFunction(RegressionLossFunction) - removed:
class RegressionLossFunction(LossFunction) - removed:
class ScaledLogOddsEstimator(LogOddsEstimator) - removed:
class VerboseReporter(object) - removed:
class ZeroEstimator - removed:
constructor BaseGradientBoosting(loss, learning_rate, n_estimators, criterion, min_samples_split, min_samples_leaf, min_weight_fraction_leaf, max_depth, min_impurity_decrease, min_impurity_split, init, subsample, max_features, random_state, alpha=…, verbose=…, max_leaf_nodes=…, warm_start=…, presort=…, validation_fraction=…, n_iter_no_change=…, tol=…) - removed:
constructor BinomialDeviance(n_classes) - removed:
constructor ExponentialLoss(n_classes) - removed:
constructor GradientBoostingClassifier(loss=…, learning_rate=…, n_estimators=…, subsample=…, criterion=…, min_samples_split=…, min_samples_leaf=…, min_weight_fraction_leaf=…, max_depth=…, min_impurity_decrease=…, min_impurity_split=…, init=…, random_state=…, max_features=…, verbose=…, max_leaf_nodes=…, warm_start=…, presort=…, validation_fraction=…, n_iter_no_change=…, tol=…) - removed:
constructor GradientBoostingRegressor(loss=…, learning_rate=…, n_estimators=…, subsample=…, criterion=…, min_samples_split=…, min_samples_leaf=…, min_weight_fraction_leaf=…, max_depth=…, min_impurity_decrease=…, min_impurity_split=…, init=…, random_state=…, max_features=…, alpha=…, verbose=…, max_leaf_nodes=…, warm_start=…, presort=…, validation_fraction=…, n_iter_no_change=…, tol=…) - removed:
constructor HuberLossFunction(n_classes, alpha=…) - removed:
constructor LossFunction(n_classes) - removed:
constructor MultinomialDeviance(n_classes) - removed:
constructor QuantileEstimator(alpha=…) - removed:
constructor QuantileLossFunction(n_classes, alpha=…) - removed:
constructor RegressionLossFunction(n_classes) - removed:
constructor VerboseReporter(verbose) - removed:
field LogOddsEstimator.scale - removed:
field LossFunction.is_multi_class - removed:
field MultinomialDeviance.is_multi_class - removed:
field ScaledLogOddsEstimator.scale - removed:
method BaseGradientBoosting.apply(X) - removed:
method BaseGradientBoosting.fit(X, y, sample_weight=…, monitor=…) - removed:
method BinomialDeviance.init_estimator() - removed:
method BinomialDeviance.negative_gradient(y, pred, **kargs) - removed:
method ExponentialLoss.init_estimator() - removed:
method ExponentialLoss.negative_gradient(y, pred, **kargs) - removed:
method GradientBoostingClassifier.decision_function(X) - removed:
method GradientBoostingClassifier.predict(X) - removed:
method GradientBoostingClassifier.predict_log_proba(X) - removed:
method GradientBoostingClassifier.predict_proba(X) - removed:
method GradientBoostingClassifier.staged_decision_function(X) - removed:
method GradientBoostingClassifier.staged_predict(X) - removed:
method GradientBoostingClassifier.staged_predict_proba(X) - removed:
method GradientBoostingRegressor.apply(X) - removed:
method GradientBoostingRegressor.predict(X) - removed:
method GradientBoostingRegressor.staged_predict(X) - removed:
method HuberLossFunction.init_estimator() - removed:
method HuberLossFunction.negative_gradient(y, pred, sample_weight=…, **kargs) - removed:
method LeastAbsoluteError.init_estimator() - removed:
method LeastAbsoluteError.negative_gradient(y, pred, **kargs) - removed:
method LeastSquaresError.init_estimator() - removed:
method LeastSquaresError.negative_gradient(y, pred, **kargs) - removed:
method LeastSquaresError.update_terminal_regions(tree, X, y, residual, y_pred, sample_weight, sample_mask, learning_rate=…, k=…) - removed:
method LogOddsEstimator.fit(X, y, sample_weight=…) - removed:
method LogOddsEstimator.predict(X) - removed:
method LossFunction.init_estimator() - removed:
method LossFunction.negative_gradient(y, y_pred, **kargs) - removed:
method LossFunction.update_terminal_regions(tree, X, y, residual, y_pred, sample_weight, sample_mask, learning_rate=…, k=…) - removed:
method MeanEstimator.fit(X, y, sample_weight=…) - removed:
method MeanEstimator.predict(X) - removed:
method MultinomialDeviance.init_estimator() - removed:
method MultinomialDeviance.negative_gradient(y, pred, k=…, **kwargs) - removed:
method PriorProbabilityEstimator.fit(X, y, sample_weight=…) - removed:
method PriorProbabilityEstimator.predict(X) - removed:
method QuantileEstimator.fit(X, y, sample_weight=…) - removed:
method QuantileEstimator.predict(X) - removed:
method QuantileLossFunction.init_estimator() - removed:
method QuantileLossFunction.negative_gradient(y, pred, **kargs) - removed:
method VerboseReporter.init(est, begin_at_stage=…) - removed:
method VerboseReporter.update(j, est) - removed:
method ZeroEstimator.fit(X, y, sample_weight=…) - removed:
method ZeroEstimator.predict(X) - removed:
method ZeroEstimator.predict_proba(X) - removed:
property BaseGradientBoosting.feature_importances_ - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class IsolationForest(BaseBagging, OutlierMixin) - removed:
constructor IsolationForest(n_estimators=…, max_samples=…, contamination=…, max_features=…, bootstrap=…, n_jobs=…, behaviour=…, random_state=…, verbose=…, warm_start=…) - removed:
method IsolationForest.decision_function(X) - removed:
method IsolationForest.fit(X, y=…, sample_weight=…) - removed:
method IsolationForest.predict(X) - removed:
method IsolationForest.score_samples(X) - removed:
property IsolationForest.threshold_ - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class VotingClassifier(_BaseVoting, ClassifierMixin) - removed:
class VotingRegressor(_BaseVoting, RegressorMixin) - removed:
constructor VotingClassifier(estimators, voting=…, weights=…, n_jobs=…, flatten_transform=…) - removed:
constructor VotingRegressor(estimators, weights=…, n_jobs=…) - removed:
method VotingClassifier.fit(X, y, sample_weight=…) - removed:
method VotingClassifier.predict(X) - removed:
method VotingClassifier.transform(X) - removed:
method VotingRegressor.fit(X, y, sample_weight=…) - removed:
method VotingRegressor.predict(X) - removed:
method VotingRegressor.transform(X) - removed:
property VotingClassifier.predict_proba - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class AdaBoostClassifier(BaseWeightBoosting, ClassifierMixin) - removed:
class AdaBoostRegressor(BaseWeightBoosting, RegressorMixin) - removed:
constructor AdaBoostClassifier(base_estimator=…, n_estimators=…, learning_rate=…, algorithm=…, random_state=…) - removed:
constructor AdaBoostRegressor(base_estimator=…, n_estimators=…, learning_rate=…, loss=…, random_state=…) - removed:
method AdaBoostClassifier.decision_function(X) - removed:
method AdaBoostClassifier.fit(X, y, sample_weight=…) - removed:
method AdaBoostClassifier.predict(X) - removed:
method AdaBoostClassifier.predict_log_proba(X) - removed:
method AdaBoostClassifier.predict_proba(X) - removed:
method AdaBoostClassifier.staged_decision_function(X) - removed:
method AdaBoostClassifier.staged_predict(X) - removed:
method AdaBoostClassifier.staged_predict_proba(X) - removed:
method AdaBoostRegressor.fit(X, y, sample_weight=…) - removed:
method AdaBoostRegressor.predict(X) - removed:
method AdaBoostRegressor.staged_predict(X) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
class PositiveSpectrumWarning(UserWarning)
- removed:
class DictVectorizer(BaseEstimator, TransformerMixin) - removed:
constructor DictVectorizer(dtype=…, separator=…, sparse=…, sort=…) - removed:
method DictVectorizer.fit(X, y=…) - removed:
method DictVectorizer.fit_transform(X, y=…) - removed:
method DictVectorizer.get_feature_names() - removed:
method DictVectorizer.inverse_transform(X, dict_type=…) - removed:
method DictVectorizer.restrict(support, indices=…) - removed:
method DictVectorizer.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class FeatureHasher(BaseEstimator, TransformerMixin) - removed:
constructor FeatureHasher(n_features=…, input_type=…, dtype=…, alternate_sign=…) - removed:
method FeatureHasher.fit(X=…, y=…) - removed:
method FeatureHasher.transform(raw_X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
variable ENGLISH_STOP_WORDS - added:
variable correct_import_path - added:
variable deprecated_path
- changed:
class CountVectorizer(BaseEstimator, VectorizerMixin) → class CountVectorizer(_VectorizerMixin, BaseEstimator) - changed:
class HashingVectorizer(BaseEstimator, VectorizerMixin, TransformerMixin) → class HashingVectorizer(TransformerMixin, _VectorizerMixin, BaseEstimator) - changed:
class TfidfTransformer(BaseEstimator, TransformerMixin) → class TfidfTransformer(TransformerMixin, BaseEstimator)
- removed:
class SelectorMixin(TransformerMixin) - removed:
method SelectorMixin.get_support(indices=…) - removed:
method SelectorMixin.inverse_transform(X) - removed:
method SelectorMixin.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class SelectFromModel(BaseEstimator, SelectorMixin, MetaEstimatorMixin) - removed:
constructor SelectFromModel(estimator, threshold=…, prefit=…, norm_order=…, max_features=…) - removed:
method SelectFromModel.fit(X, y=…, **fit_params) - removed:
method SelectFromModel.partial_fit(X, y=…, **fit_params) - removed:
property SelectFromModel.threshold_ - added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function mutual_info_classif(X, y, discrete_features=…, n_neighbors=…, copy=…, random_state=…) - removed:
function mutual_info_regression(X, y, discrete_features=…, n_neighbors=…, copy=…, random_state=…)
- removed:
class RFE(BaseEstimator, MetaEstimatorMixin, SelectorMixin) - removed:
class RFECV(RFE, MetaEstimatorMixin) - removed:
constructor RFE(estimator, n_features_to_select=…, step=…, verbose=…) - removed:
constructor RFECV(estimator, step=…, min_features_to_select=…, cv=…, scoring=…, verbose=…, n_jobs=…) - removed:
method RFE.decision_function(X) - removed:
method RFE.fit(X, y) - removed:
method RFE.predict(X) - removed:
method RFE.predict_log_proba(X) - removed:
method RFE.predict_proba(X) - removed:
method RFE.score(X, y) - removed:
method RFECV.fit(X, y, groups=…) - removed:
property RFE.classes_ - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class GenericUnivariateSelect(_BaseFilter) - removed:
class SelectFdr(_BaseFilter) - removed:
class SelectFpr(_BaseFilter) - removed:
class SelectFwe(_BaseFilter) - removed:
class SelectKBest(_BaseFilter) - removed:
class SelectPercentile(_BaseFilter) - removed:
constructor GenericUnivariateSelect(score_func=…, mode=…, param=…) - removed:
constructor SelectFdr(score_func=…, alpha=…) - removed:
constructor SelectFpr(score_func=…, alpha=…) - removed:
constructor SelectFwe(score_func=…, alpha=…) - removed:
constructor SelectKBest(score_func=…, k=…) - removed:
constructor SelectPercentile(score_func=…, percentile=…) - removed:
function chi2(X, y) - removed:
function f_classif(X, y) - removed:
function f_oneway(*args) - removed:
function f_regression(X, y, center=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class VarianceThreshold(BaseEstimator, SelectorMixin) - removed:
constructor VarianceThreshold(threshold=…) - removed:
method VarianceThreshold.fit(X, y=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
export correlation_models - removed:
export regression_models
- removed:
function absolute_exponential(theta, d) - removed:
function cubic(theta, d) - removed:
function generalized_exponential(theta, d) - removed:
function linear(theta, d) - removed:
function pure_nugget(theta, d) - removed:
function squared_exponential(theta, d)
- removed:
class GaussianProcessClassifier(BaseEstimator, ClassifierMixin) - removed:
constructor GaussianProcessClassifier(kernel=…, optimizer=…, n_restarts_optimizer=…, max_iter_predict=…, warm_start=…, copy_X_train=…, random_state=…, multi_class=…, n_jobs=…) - removed:
method GaussianProcessClassifier.fit(X, y) - removed:
method GaussianProcessClassifier.log_marginal_likelihood(theta=…, eval_gradient=…) - removed:
method GaussianProcessClassifier.predict(X) - removed:
method GaussianProcessClassifier.predict_proba(X) - removed:
property GaussianProcessClassifier.kernel_ - removed:
variable COEFS - removed:
variable LAMBDAS - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class GaussianProcessRegressor(BaseEstimator, RegressorMixin, MultiOutputMixin) - removed:
constructor GaussianProcessRegressor(kernel=…, alpha=…, optimizer=…, n_restarts_optimizer=…, normalize_y=…, copy_X_train=…, random_state=…) - removed:
method GaussianProcessRegressor.fit(X, y) - removed:
method GaussianProcessRegressor.log_marginal_likelihood(theta=…, eval_gradient=…) - removed:
method GaussianProcessRegressor.predict(X, return_std=…, return_cov=…) - removed:
method GaussianProcessRegressor.sample_y(X, n_samples=…, random_state=…) - added:
variable correct_import_path - added:
variable deprecated_path
- changed:
class ConstantKernel(StationaryKernelMixin, Kernel) → class ConstantKernel(StationaryKernelMixin, GenericKernelMixin, Kernel) - changed:
class WhiteKernel(StationaryKernelMixin, Kernel) → class WhiteKernel(StationaryKernelMixin, GenericKernelMixin, Kernel) - added:
class GenericKernelMixin - added:
property CompoundKernel.requires_vector_input - added:
property Exponentiation.requires_vector_input - added:
property GenericKernelMixin.requires_vector_input - added:
property Kernel.requires_vector_input - added:
property KernelOperator.requires_vector_input
- removed:
function constant(x) - removed:
function linear(x) - removed:
function quadratic(x)
- added:
export KNNImputer
- removed:
export partial_dependence - added:
export PartialDependenceDisplay - added:
export permutation_importance
- removed:
function partial_dependence(estimator, X, features, response_method=…, percentiles=…, grid_resolution=…, method=…) - removed:
function plot_partial_dependence(estimator, X, features, feature_names=…, target=…, response_method=…, n_cols=…, grid_resolution=…, percentiles=…, method=…, n_jobs=…, verbose=…, fig=…, line_kw=…, contour_kw=…) - added:
variable correct_import_path - added:
variable deprecated_path
- changed:
class IsotonicRegression(BaseEstimator, TransformerMixin, RegressorMixin) → class IsotonicRegression(RegressorMixin, TransformerMixin, BaseEstimator)
- changed:
class AdditiveChi2Sampler(BaseEstimator, TransformerMixin) → class AdditiveChi2Sampler(TransformerMixin, BaseEstimator) - changed:
class Nystroem(BaseEstimator, TransformerMixin) → class Nystroem(TransformerMixin, BaseEstimator) - changed:
class RBFSampler(BaseEstimator, TransformerMixin) → class RBFSampler(TransformerMixin, BaseEstimator) - changed:
class SkewedChi2Sampler(BaseEstimator, TransformerMixin) → class SkewedChi2Sampler(TransformerMixin, BaseEstimator)
- changed:
class KernelRidge(BaseEstimator, RegressorMixin, MultiOutputMixin) → class KernelRidge(MultiOutputMixin, RegressorMixin, BaseEstimator)
- removed:
class LinearClassifierMixin(ClassifierMixin) - removed:
class LinearModel(BaseEstimator) - removed:
class LinearRegression(LinearModel, RegressorMixin, MultiOutputMixin) - removed:
class SparseCoefMixin - removed:
constructor LinearRegression(fit_intercept=…, normalize=…, copy_X=…, n_jobs=…) - removed:
function make_dataset(X, y, sample_weight, random_state=…) - removed:
method LinearClassifierMixin.decision_function(X) - removed:
method LinearClassifierMixin.predict(X) - removed:
method LinearModel.fit(X, y) - removed:
method LinearModel.predict(X) - removed:
method LinearRegression.fit(X, y, sample_weight=…) - removed:
method SparseCoefMixin.densify() - removed:
method SparseCoefMixin.sparsify() - removed:
variable SPARSE_INTERCEPT_DECAY - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class ARDRegression(LinearModel, RegressorMixin) - removed:
class BayesianRidge(LinearModel, RegressorMixin) - removed:
constructor ARDRegression(n_iter=…, tol=…, alpha_1=…, alpha_2=…, lambda_1=…, lambda_2=…, compute_score=…, threshold_lambda=…, fit_intercept=…, normalize=…, copy_X=…, verbose=…) - removed:
constructor BayesianRidge(n_iter=…, tol=…, alpha_1=…, alpha_2=…, lambda_1=…, lambda_2=…, compute_score=…, fit_intercept=…, normalize=…, copy_X=…, verbose=…) - removed:
method ARDRegression.fit(X, y) - removed:
method ARDRegression.predict(X, return_std=…) - removed:
method BayesianRidge.fit(X, y, sample_weight=…) - removed:
method BayesianRidge.predict(X, return_std=…) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class ElasticNet(LinearModel, RegressorMixin, MultiOutputMixin) - removed:
class ElasticNetCV(LinearModelCV, RegressorMixin) - removed:
class Lasso(ElasticNet) - removed:
class LassoCV(LinearModelCV, RegressorMixin) - removed:
class LinearModelCV(LinearModel, MultiOutputMixin) - removed:
class MultiTaskElasticNet(Lasso) - removed:
class MultiTaskElasticNetCV(LinearModelCV, RegressorMixin) - removed:
class MultiTaskLasso(MultiTaskElasticNet) - removed:
class MultiTaskLassoCV(LinearModelCV, RegressorMixin) - removed:
constructor ElasticNet(alpha=…, l1_ratio=…, fit_intercept=…, normalize=…, precompute=…, max_iter=…, copy_X=…, tol=…, warm_start=…, positive=…, random_state=…, selection=…) - removed:
constructor ElasticNetCV(l1_ratio=…, eps=…, n_alphas=…, alphas=…, fit_intercept=…, normalize=…, precompute=…, max_iter=…, tol=…, cv=…, copy_X=…, verbose=…, n_jobs=…, positive=…, random_state=…, selection=…) - removed:
constructor Lasso(alpha=…, fit_intercept=…, normalize=…, precompute=…, copy_X=…, max_iter=…, tol=…, warm_start=…, positive=…, random_state=…, selection=…) - removed:
constructor LassoCV(eps=…, n_alphas=…, alphas=…, fit_intercept=…, normalize=…, precompute=…, max_iter=…, tol=…, copy_X=…, cv=…, verbose=…, n_jobs=…, positive=…, random_state=…, selection=…) - removed:
constructor LinearModelCV(eps=…, n_alphas=…, alphas=…, fit_intercept=…, normalize=…, precompute=…, max_iter=…, tol=…, copy_X=…, cv=…, verbose=…, n_jobs=…, positive=…, random_state=…, selection=…) - removed:
constructor MultiTaskElasticNet(alpha=…, l1_ratio=…, fit_intercept=…, normalize=…, copy_X=…, max_iter=…, tol=…, warm_start=…, random_state=…, selection=…) - removed:
constructor MultiTaskElasticNetCV(l1_ratio=…, eps=…, n_alphas=…, alphas=…, fit_intercept=…, normalize=…, max_iter=…, tol=…, cv=…, copy_X=…, verbose=…, n_jobs=…, random_state=…, selection=…) - removed:
constructor MultiTaskLasso(alpha=…, fit_intercept=…, normalize=…, copy_X=…, max_iter=…, tol=…, warm_start=…, random_state=…, selection=…) - removed:
constructor MultiTaskLassoCV(eps=…, n_alphas=…, alphas=…, fit_intercept=…, normalize=…, max_iter=…, tol=…, copy_X=…, cv=…, verbose=…, n_jobs=…, random_state=…, selection=…) - removed:
field ElasticNet.path - removed:
field ElasticNetCV.path - removed:
field Lasso.path - removed:
field LassoCV.path - removed:
field MultiTaskElasticNetCV.path - removed:
field MultiTaskLassoCV.path - removed:
function enet_path(X, y, l1_ratio=…, eps=…, n_alphas=…, alphas=…, precompute=…, Xy=…, copy_X=…, coef_init=…, verbose=…, return_n_iter=…, positive=…, check_input=…, **params) - removed:
function lasso_path(X, y, eps=…, n_alphas=…, alphas=…, precompute=…, Xy=…, copy_X=…, coef_init=…, verbose=…, return_n_iter=…, positive=…, **params) - removed:
method ElasticNet.fit(X, y, check_input=…) - removed:
method LinearModelCV.fit(X, y) - removed:
method MultiTaskElasticNet.fit(X, y) - removed:
property ElasticNet.sparse_coef_ - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class HuberRegressor(LinearModel, RegressorMixin, BaseEstimator) - removed:
constructor HuberRegressor(epsilon=…, max_iter=…, alpha=…, warm_start=…, fit_intercept=…, tol=…) - removed:
method HuberRegressor.fit(X, y, sample_weight=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class Lars(LinearModel, RegressorMixin, MultiOutputMixin) - removed:
class LarsCV(Lars) - removed:
class LassoLars(Lars) - removed:
class LassoLarsCV(LarsCV) - removed:
class LassoLarsIC(LassoLars) - removed:
constructor Lars(fit_intercept=…, verbose=…, normalize=…, precompute=…, n_nonzero_coefs=…, eps=…, copy_X=…, fit_path=…, positive=…) - removed:
constructor LarsCV(fit_intercept=…, verbose=…, max_iter=…, normalize=…, precompute=…, cv=…, max_n_alphas=…, n_jobs=…, eps=…, copy_X=…, positive=…) - removed:
constructor LassoLars(alpha=…, fit_intercept=…, verbose=…, normalize=…, precompute=…, max_iter=…, eps=…, copy_X=…, fit_path=…, positive=…) - removed:
constructor LassoLarsCV(fit_intercept=…, verbose=…, max_iter=…, normalize=…, precompute=…, cv=…, max_n_alphas=…, n_jobs=…, eps=…, copy_X=…, positive=…) - removed:
constructor LassoLarsIC(criterion=…, fit_intercept=…, verbose=…, normalize=…, precompute=…, max_iter=…, eps=…, copy_X=…, positive=…) - removed:
field Lars.method - removed:
field LarsCV.method - removed:
field LassoLars.method - removed:
field LassoLarsCV.method - removed:
function lars_path(X, y, Xy=…, Gram=…, max_iter=…, alpha_min=…, method=…, copy_X=…, eps=…, copy_Gram=…, verbose=…, return_path=…, return_n_iter=…, positive=…) - removed:
function lars_path_gram(Xy, Gram, n_samples, max_iter=…, alpha_min=…, method=…, copy_X=…, eps=…, copy_Gram=…, verbose=…, return_path=…, return_n_iter=…, positive=…) - removed:
method Lars.fit(X, y, Xy=…) - removed:
method LarsCV.fit(X, y) - removed:
method LassoLarsIC.fit(X, y, copy_X=…) - removed:
variable SOLVE_TRIANGULAR_ARGS - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class LogisticRegression(BaseEstimator, LinearClassifierMixin, SparseCoefMixin) - removed:
class LogisticRegressionCV(LogisticRegression, BaseEstimator, LinearClassifierMixin) - removed:
constructor LogisticRegression(penalty=…, dual=…, tol=…, C=…, fit_intercept=…, intercept_scaling=…, class_weight=…, random_state=…, solver=…, max_iter=…, multi_class=…, verbose=…, warm_start=…, n_jobs=…, l1_ratio=…) - removed:
constructor LogisticRegressionCV(Cs=…, fit_intercept=…, cv=…, dual=…, penalty=…, scoring=…, solver=…, tol=…, max_iter=…, class_weight=…, n_jobs=…, verbose=…, refit=…, intercept_scaling=…, multi_class=…, random_state=…, l1_ratios=…) - removed:
function logistic_regression_path(X, y, pos_class=…, Cs=…, fit_intercept=…, max_iter=…, tol=…, verbose=…, solver=…, coef=…, class_weight=…, dual=…, penalty=…, intercept_scaling=…, multi_class=…, random_state=…, check_input=…, max_squared_sum=…, sample_weight=…, l1_ratio=…) - removed:
method LogisticRegression.fit(X, y, sample_weight=…) - removed:
method LogisticRegression.predict_log_proba(X) - removed:
method LogisticRegression.predict_proba(X) - removed:
method LogisticRegressionCV.fit(X, y, sample_weight=…) - removed:
method LogisticRegressionCV.score(X, y, sample_weight=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class OrthogonalMatchingPursuit(LinearModel, RegressorMixin, MultiOutputMixin) - removed:
class OrthogonalMatchingPursuitCV(LinearModel, RegressorMixin) - removed:
constructor OrthogonalMatchingPursuit(n_nonzero_coefs=…, tol=…, fit_intercept=…, normalize=…, precompute=…) - removed:
constructor OrthogonalMatchingPursuitCV(copy=…, fit_intercept=…, normalize=…, max_iter=…, cv=…, n_jobs=…, verbose=…) - removed:
function orthogonal_mp(X, y, n_nonzero_coefs=…, tol=…, precompute=…, copy_X=…, return_path=…, return_n_iter=…) - removed:
function orthogonal_mp_gram(Gram, Xy, n_nonzero_coefs=…, tol=…, norms_squared=…, copy_Gram=…, copy_Xy=…, return_path=…, return_n_iter=…) - removed:
method OrthogonalMatchingPursuit.fit(X, y) - removed:
method OrthogonalMatchingPursuitCV.fit(X, y) - removed:
variable premature - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class PassiveAggressiveClassifier(BaseSGDClassifier) - removed:
class PassiveAggressiveRegressor(BaseSGDRegressor) - removed:
constructor PassiveAggressiveClassifier(C=…, fit_intercept=…, max_iter=…, tol=…, early_stopping=…, validation_fraction=…, n_iter_no_change=…, shuffle=…, verbose=…, loss=…, n_jobs=…, random_state=…, warm_start=…, class_weight=…, average=…) - removed:
constructor PassiveAggressiveRegressor(C=…, fit_intercept=…, max_iter=…, tol=…, early_stopping=…, validation_fraction=…, n_iter_no_change=…, shuffle=…, verbose=…, loss=…, epsilon=…, random_state=…, warm_start=…, average=…) - removed:
method PassiveAggressiveClassifier.fit(X, y, coef_init=…, intercept_init=…) - removed:
method PassiveAggressiveClassifier.partial_fit(X, y, classes=…) - removed:
method PassiveAggressiveRegressor.fit(X, y, coef_init=…, intercept_init=…) - removed:
method PassiveAggressiveRegressor.partial_fit(X, y) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class Perceptron(BaseSGDClassifier) - removed:
constructor Perceptron(penalty=…, alpha=…, fit_intercept=…, max_iter=…, tol=…, shuffle=…, verbose=…, eta0=…, n_jobs=…, random_state=…, early_stopping=…, validation_fraction=…, n_iter_no_change=…, class_weight=…, warm_start=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class RANSACRegressor(BaseEstimator, MetaEstimatorMixin, RegressorMixin, MultiOutputMixin) - removed:
constructor RANSACRegressor(base_estimator=…, min_samples=…, residual_threshold=…, is_data_valid=…, is_model_valid=…, max_trials=…, max_skips=…, stop_n_inliers=…, stop_score=…, stop_probability=…, loss=…, random_state=…) - removed:
method RANSACRegressor.fit(X, y, sample_weight=…) - removed:
method RANSACRegressor.predict(X) - removed:
method RANSACRegressor.score(X, y) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class Ridge(_BaseRidge, RegressorMixin) - removed:
class RidgeCV(_BaseRidgeCV, RegressorMixin) - removed:
class RidgeClassifier(LinearClassifierMixin, _BaseRidge) - removed:
class RidgeClassifierCV(LinearClassifierMixin, _BaseRidgeCV) - removed:
constructor Ridge(alpha=…, fit_intercept=…, normalize=…, copy_X=…, max_iter=…, tol=…, solver=…, random_state=…) - removed:
constructor RidgeClassifier(alpha=…, fit_intercept=…, normalize=…, copy_X=…, max_iter=…, tol=…, class_weight=…, solver=…, random_state=…) - removed:
constructor RidgeClassifierCV(alphas=…, fit_intercept=…, normalize=…, scoring=…, cv=…, class_weight=…, store_cv_values=…) - removed:
function ridge_regression(X, y, alpha, sample_weight=…, solver=…, max_iter=…, tol=…, verbose=…, random_state=…, return_n_iter=…, return_intercept=…, check_input=…) - removed:
method Ridge.fit(X, y, sample_weight=…) - removed:
method RidgeClassifier.fit(X, y, sample_weight=…) - removed:
method RidgeClassifierCV.fit(X, y, sample_weight=…) - removed:
property RidgeClassifier.classes_ - removed:
property RidgeClassifierCV.classes_ - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function get_auto_step_size(max_squared_sum, alpha_scaled, loss, fit_intercept, n_samples=…, is_saga=…) - removed:
function sag_solver(X, y, sample_weight=…, loss=…, alpha=…, beta=…, max_iter=…, tol=…, verbose=…, random_state=…, check_input=…, max_squared_sum=…, warm_start_mem=…, is_saga=…) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class BaseSGD(BaseEstimator, SparseCoefMixin) - removed:
class BaseSGDClassifier(BaseSGD, LinearClassifierMixin) - removed:
class BaseSGDRegressor(BaseSGD, RegressorMixin) - removed:
class SGDClassifier(BaseSGDClassifier) - removed:
class SGDRegressor(BaseSGDRegressor) - removed:
constructor BaseSGD(loss, penalty=…, alpha=…, C=…, l1_ratio=…, fit_intercept=…, max_iter=…, tol=…, shuffle=…, verbose=…, epsilon=…, random_state=…, learning_rate=…, eta0=…, power_t=…, early_stopping=…, validation_fraction=…, n_iter_no_change=…, warm_start=…, average=…) - removed:
constructor BaseSGDClassifier(loss=…, penalty=…, alpha=…, l1_ratio=…, fit_intercept=…, max_iter=…, tol=…, shuffle=…, verbose=…, epsilon=…, n_jobs=…, random_state=…, learning_rate=…, eta0=…, power_t=…, early_stopping=…, validation_fraction=…, n_iter_no_change=…, class_weight=…, warm_start=…, average=…) - removed:
constructor BaseSGDRegressor(loss=…, penalty=…, alpha=…, l1_ratio=…, fit_intercept=…, max_iter=…, tol=…, shuffle=…, verbose=…, epsilon=…, random_state=…, learning_rate=…, eta0=…, power_t=…, early_stopping=…, validation_fraction=…, n_iter_no_change=…, warm_start=…, average=…) - removed:
constructor SGDClassifier(loss=…, penalty=…, alpha=…, l1_ratio=…, fit_intercept=…, max_iter=…, tol=…, shuffle=…, verbose=…, epsilon=…, n_jobs=…, random_state=…, learning_rate=…, eta0=…, power_t=…, early_stopping=…, validation_fraction=…, n_iter_no_change=…, class_weight=…, warm_start=…, average=…) - removed:
constructor SGDRegressor(loss=…, penalty=…, alpha=…, l1_ratio=…, fit_intercept=…, max_iter=…, tol=…, shuffle=…, verbose=…, epsilon=…, random_state=…, learning_rate=…, eta0=…, power_t=…, early_stopping=…, validation_fraction=…, n_iter_no_change=…, warm_start=…, average=…) - removed:
field BaseSGDClassifier.loss_functions - removed:
field BaseSGDRegressor.loss_functions - removed:
function fit_binary(est, i, X, y, alpha, C, learning_rate, max_iter, pos_weight, neg_weight, sample_weight, validation_mask=…, random_state=…) - removed:
method BaseSGD.fit(X, y) - removed:
method BaseSGD.set_params(*args, **kwargs) - removed:
method BaseSGDClassifier.fit(X, y, coef_init=…, intercept_init=…, sample_weight=…) - removed:
method BaseSGDClassifier.partial_fit(X, y, classes=…, sample_weight=…) - removed:
method BaseSGDRegressor.fit(X, y, coef_init=…, intercept_init=…, sample_weight=…) - removed:
method BaseSGDRegressor.partial_fit(X, y, sample_weight=…) - removed:
method BaseSGDRegressor.predict(X) - removed:
property SGDClassifier.predict_log_proba - removed:
property SGDClassifier.predict_proba - removed:
variable DEFAULT_EPSILON - removed:
variable LEARNING_RATE_TYPES - removed:
variable MAX_INT - removed:
variable PENALTY_TYPES - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class TheilSenRegressor(LinearModel, RegressorMixin) - removed:
constructor TheilSenRegressor(fit_intercept=…, copy_X=…, max_subpopulation=…, n_subsamples=…, max_iter=…, tol=…, random_state=…, n_jobs=…, verbose=…) - removed:
method TheilSenRegressor.fit(X, y) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
export trustworthiness
- removed:
class Isomap(BaseEstimator, TransformerMixin) - removed:
constructor Isomap(n_neighbors=…, n_components=…, eigen_solver=…, tol=…, max_iter=…, path_method=…, neighbors_algorithm=…, n_jobs=…) - removed:
method Isomap.fit(X, y=…) - removed:
method Isomap.fit_transform(X, y=…) - removed:
method Isomap.reconstruction_error() - removed:
method Isomap.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class LocallyLinearEmbedding(BaseEstimator, TransformerMixin, _UnstableArchMixin) - removed:
constructor LocallyLinearEmbedding(n_neighbors=…, n_components=…, reg=…, eigen_solver=…, tol=…, max_iter=…, method=…, hessian_tol=…, modified_tol=…, neighbors_algorithm=…, random_state=…, n_jobs=…) - removed:
function barycenter_kneighbors_graph(X, n_neighbors, reg=…, n_jobs=…) - removed:
function barycenter_weights(X, Z, reg=…) - removed:
function locally_linear_embedding(X, n_neighbors, n_components, reg=…, eigen_solver=…, tol=…, max_iter=…, method=…, hessian_tol=…, modified_tol=…, random_state=…, n_jobs=…) - removed:
function null_space(M, k, k_skip=…, eigen_solver=…, tol=…, max_iter=…, random_state=…) - removed:
method LocallyLinearEmbedding.fit(X, y=…) - removed:
method LocallyLinearEmbedding.fit_transform(X, y=…) - removed:
method LocallyLinearEmbedding.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class MDS(BaseEstimator) - removed:
constructor MDS(n_components=…, metric=…, n_init=…, max_iter=…, verbose=…, eps=…, n_jobs=…, random_state=…, dissimilarity=…) - removed:
function smacof(dissimilarities, metric=…, n_components=…, init=…, n_init=…, n_jobs=…, max_iter=…, verbose=…, eps=…, random_state=…, return_n_iter=…) - removed:
method MDS.fit(X, y=…, init=…) - removed:
method MDS.fit_transform(X, y=…, init=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class SpectralEmbedding(BaseEstimator) - removed:
constructor SpectralEmbedding(n_components=…, affinity=…, gamma=…, random_state=…, eigen_solver=…, n_neighbors=…, n_jobs=…) - removed:
function spectral_embedding(adjacency, n_components=…, eigen_solver=…, random_state=…, eigen_tol=…, norm_laplacian=…, drop_first=…) - removed:
method SpectralEmbedding.fit(X, y=…) - removed:
method SpectralEmbedding.fit_transform(X, y=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class TSNE(BaseEstimator) - removed:
constructor TSNE(n_components=…, perplexity=…, early_exaggeration=…, learning_rate=…, n_iter=…, n_iter_without_progress=…, min_grad_norm=…, metric=…, init=…, verbose=…, random_state=…, method=…, angle=…) - removed:
function trustworthiness(X, X_embedded, n_neighbors=…, precomputed=…, metric=…) - removed:
method TSNE.fit(X, y=…) - removed:
method TSNE.fit_transform(X, y=…) - removed:
variable MACHINE_EPSILON - added:
variable correct_import_path - added:
variable deprecated_path
- added:
export ConfusionMatrixDisplay - added:
export PrecisionRecallDisplay - added:
export RocCurveDisplay - added:
export dcg_score - added:
export mean_gamma_deviance - added:
export mean_poisson_deviance - added:
export mean_tweedie_deviance - added:
export nan_euclidean_distances - added:
export ndcg_score - added:
export plot_confusion_matrix - added:
export plot_precision_recall_curve - added:
export plot_roc_curve
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function accuracy_score(y_true, y_pred, normalize=…, sample_weight=…) - removed:
function balanced_accuracy_score(y_true, y_pred, sample_weight=…, adjusted=…) - removed:
function brier_score_loss(y_true, y_prob, sample_weight=…, pos_label=…) - removed:
function classification_report(y_true, y_pred, labels=…, target_names=…, sample_weight=…, digits=…, output_dict=…) - removed:
function cohen_kappa_score(y1, y2, labels=…, weights=…, sample_weight=…) - removed:
function confusion_matrix(y_true, y_pred, labels=…, sample_weight=…) - removed:
function f1_score(y_true, y_pred, labels=…, pos_label=…, average=…, sample_weight=…) - removed:
function fbeta_score(y_true, y_pred, beta, labels=…, pos_label=…, average=…, sample_weight=…) - removed:
function hamming_loss(y_true, y_pred, labels=…, sample_weight=…) - removed:
function hinge_loss(y_true, pred_decision, labels=…, sample_weight=…) - removed:
function jaccard_score(y_true, y_pred, labels=…, pos_label=…, average=…, sample_weight=…) - removed:
function jaccard_similarity_score(y_true, y_pred, normalize=…, sample_weight=…) - removed:
function log_loss(y_true, y_pred, eps=…, normalize=…, sample_weight=…, labels=…) - removed:
function matthews_corrcoef(y_true, y_pred, sample_weight=…) - removed:
function multilabel_confusion_matrix(y_true, y_pred, sample_weight=…, labels=…, samplewise=…) - removed:
function precision_recall_fscore_support(y_true, y_pred, beta=…, labels=…, pos_label=…, average=…, warn_for=…, sample_weight=…) - removed:
function precision_score(y_true, y_pred, labels=…, pos_label=…, average=…, sample_weight=…) - removed:
function recall_score(y_true, y_pred, labels=…, pos_label=…, average=…, sample_weight=…) - removed:
function zero_one_loss(y_true, y_pred, normalize=…, sample_weight=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function consensus_score(a, b, similarity=…) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function adjusted_mutual_info_score(labels_true, labels_pred, average_method=…) - removed:
function adjusted_rand_score(labels_true, labels_pred) - removed:
function check_clusterings(labels_true, labels_pred) - removed:
function completeness_score(labels_true, labels_pred) - removed:
function contingency_matrix(labels_true, labels_pred, eps=…, sparse=…) - removed:
function entropy(labels) - removed:
function fowlkes_mallows_score(labels_true, labels_pred, sparse=…) - removed:
function homogeneity_completeness_v_measure(labels_true, labels_pred, beta=…) - removed:
function homogeneity_score(labels_true, labels_pred) - removed:
function mutual_info_score(labels_true, labels_pred, contingency=…) - removed:
function normalized_mutual_info_score(labels_true, labels_pred, average_method=…) - removed:
function v_measure_score(labels_true, labels_pred, beta=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function calinski_harabasz_score(X, labels) - removed:
function calinski_harabaz_score(X, labels) - removed:
function check_number_of_labels(n_labels, n_samples) - removed:
function davies_bouldin_score(X, labels) - removed:
function silhouette_samples(X, labels, metric=…, **kwds) - removed:
function silhouette_score(X, labels, metric=…, sample_size=…, random_state=…, **kwds) - added:
variable correct_import_path - added:
variable deprecated_path
- changed:
function check_pairwise_arrays(X, Y, precomputed=…, dtype=…) → function check_pairwise_arrays(X, Y, precomputed=…, dtype=…, accept_sparse=…, force_all_finite=…, copy=…) - changed:
function pairwise_distances(X, Y=…, metric=…, n_jobs=…, **kwds) → function pairwise_distances(X, Y=…, metric=…, n_jobs=…, force_all_finite=…, **kwds) - changed:
function pairwise_distances_argmin(X, Y, axis=…, metric=…, batch_size=…, metric_kwargs=…) → function pairwise_distances_argmin(X, Y, axis=…, metric=…, metric_kwargs=…) - changed:
function pairwise_distances_argmin_min(X, Y, axis=…, metric=…, batch_size=…, metric_kwargs=…) → function pairwise_distances_argmin_min(X, Y, axis=…, metric=…, metric_kwargs=…) - added:
function nan_euclidean_distances(X, Y=…, squared=…, missing_values=…, copy=…)
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function auc(x, y, reorder=…) - removed:
function average_precision_score(y_true, y_score, average=…, pos_label=…, sample_weight=…) - removed:
function coverage_error(y_true, y_score, sample_weight=…) - removed:
function label_ranking_average_precision_score(y_true, y_score, sample_weight=…) - removed:
function label_ranking_loss(y_true, y_score, sample_weight=…) - removed:
function precision_recall_curve(y_true, probas_pred, pos_label=…, sample_weight=…) - removed:
function roc_auc_score(y_true, y_score, average=…, sample_weight=…, max_fpr=…) - removed:
function roc_curve(y_true, y_score, pos_label=…, sample_weight=…, drop_intermediate=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function explained_variance_score(y_true, y_pred, sample_weight=…, multioutput=…) - removed:
function max_error(y_true, y_pred) - removed:
function mean_absolute_error(y_true, y_pred, sample_weight=…, multioutput=…) - removed:
function mean_squared_error(y_true, y_pred, sample_weight=…, multioutput=…) - removed:
function mean_squared_log_error(y_true, y_pred, sample_weight=…, multioutput=…) - removed:
function median_absolute_error(y_true, y_pred) - removed:
function r2_score(y_true, y_pred, sample_weight=…, multioutput=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function check_scoring(estimator, scoring=…, allow_none=…) - removed:
function get_scorer(scoring) - removed:
function make_scorer(score_func, greater_is_better=…, needs_proba=…, needs_threshold=…, **kwargs) - removed:
variable SCORERS - removed:
variable accuracy_scorer - removed:
variable adjusted_mutual_info_scorer - removed:
variable adjusted_rand_scorer - removed:
variable average_precision_scorer - removed:
variable balanced_accuracy_scorer - removed:
variable brier_score_loss_scorer - removed:
variable completeness_scorer - removed:
variable explained_variance_scorer - removed:
variable fowlkes_mallows_scorer - removed:
variable homogeneity_scorer - removed:
variable max_error_scorer - removed:
variable mutual_info_scorer - removed:
variable neg_log_loss_scorer - removed:
variable neg_mean_absolute_error_scorer - removed:
variable neg_mean_squared_error_scorer - removed:
variable neg_mean_squared_log_error_scorer - removed:
variable neg_median_absolute_error_scorer - removed:
variable normalized_mutual_info_scorer - removed:
variable r2_scorer - removed:
variable roc_auc_scorer - removed:
variable v_measure_scorer - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class BaseMixture(DensityMixin, BaseEstimator) - removed:
constructor BaseMixture(n_components, tol, reg_covar, max_iter, n_init, init_params, random_state, warm_start, verbose, verbose_interval) - removed:
method BaseMixture.fit(X, y=…) - removed:
method BaseMixture.fit_predict(X, y=…) - removed:
method BaseMixture.predict(X) - removed:
method BaseMixture.predict_proba(X) - removed:
method BaseMixture.sample(n_samples=…) - removed:
method BaseMixture.score(X, y=…) - removed:
method BaseMixture.score_samples(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class BayesianGaussianMixture(BaseMixture) - removed:
constructor BayesianGaussianMixture(n_components=…, covariance_type=…, tol=…, reg_covar=…, max_iter=…, n_init=…, init_params=…, weight_concentration_prior_type=…, weight_concentration_prior=…, mean_precision_prior=…, mean_prior=…, degrees_of_freedom_prior=…, covariance_prior=…, random_state=…, warm_start=…, verbose=…, verbose_interval=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class GaussianMixture(BaseMixture) - removed:
constructor GaussianMixture(n_components=…, covariance_type=…, tol=…, reg_covar=…, max_iter=…, n_init=…, init_params=…, weights_init=…, means_init=…, precisions_init=…, random_state=…, warm_start=…, verbose=…, verbose_interval=…) - removed:
method GaussianMixture.aic(X) - removed:
method GaussianMixture.bic(X) - added:
variable correct_import_path - added:
variable deprecated_path
- changed:
class OneVsOneClassifier(BaseEstimator, ClassifierMixin, MetaEstimatorMixin) → class OneVsOneClassifier(MetaEstimatorMixin, ClassifierMixin, BaseEstimator) - changed:
class OneVsRestClassifier(BaseEstimator, ClassifierMixin, MetaEstimatorMixin, MultiOutputMixin) → class OneVsRestClassifier(MultiOutputMixin, ClassifierMixin, MetaEstimatorMixin, BaseEstimator) - changed:
class OutputCodeClassifier(BaseEstimator, ClassifierMixin, MetaEstimatorMixin) → class OutputCodeClassifier(MetaEstimatorMixin, ClassifierMixin, BaseEstimator)
- removed:
method MultiOutputClassifier.predict_proba(X) - changed:
class ClassifierChain(_BaseChain, ClassifierMixin, MetaEstimatorMixin) → class ClassifierChain(MetaEstimatorMixin, ClassifierMixin, _BaseChain) - changed:
class MultiOutputClassifier(MultiOutputEstimator, ClassifierMixin) → class MultiOutputClassifier(ClassifierMixin, _MultiOutputEstimator) - changed:
class MultiOutputRegressor(MultiOutputEstimator, RegressorMixin) → class MultiOutputRegressor(RegressorMixin, _MultiOutputEstimator) - changed:
class RegressorChain(_BaseChain, RegressorMixin, MetaEstimatorMixin) → class RegressorChain(MetaEstimatorMixin, RegressorMixin, _BaseChain) - added:
method MultiOutputClassifier.fit(X, Y, sample_weight=…) - added:
property MultiOutputClassifier.predict_proba
- changed:
class BernoulliNB(BaseDiscreteNB) → class BernoulliNB(_BaseDiscreteNB) - changed:
class ComplementNB(BaseDiscreteNB) → class ComplementNB(_BaseDiscreteNB) - changed:
class GaussianNB(BaseNB) → class GaussianNB(_BaseNB) - changed:
class MultinomialNB(BaseDiscreteNB) → class MultinomialNB(_BaseDiscreteNB) - added:
class CategoricalNB(_BaseDiscreteNB) - added:
constructor CategoricalNB(alpha=…, fit_prior=…, class_prior=…) - added:
method CategoricalNB.fit(X, y, sample_weight=…) - added:
method CategoricalNB.partial_fit(X, y, classes=…, sample_weight=…)
- added:
export KNeighborsTransformer - added:
export RadiusNeighborsTransformer
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class KNeighborsMixin - removed:
class NeighborsBase(BaseEstimator, MultiOutputMixin) - removed:
class RadiusNeighborsMixin - removed:
class SupervisedFloatMixin - removed:
class SupervisedIntegerMixin - removed:
class UnsupervisedMixin - removed:
constructor NeighborsBase(n_neighbors=…, radius=…, algorithm=…, leaf_size=…, metric=…, p=…, metric_params=…, n_jobs=…) - removed:
method KNeighborsMixin.kneighbors(X=…, n_neighbors=…, return_distance=…) - removed:
method KNeighborsMixin.kneighbors_graph(X=…, n_neighbors=…, mode=…) - removed:
method RadiusNeighborsMixin.radius_neighbors(X=…, radius=…, return_distance=…) - removed:
method RadiusNeighborsMixin.radius_neighbors_graph(X=…, radius=…, mode=…) - removed:
method SupervisedFloatMixin.fit(X, y) - removed:
method SupervisedIntegerMixin.fit(X, y) - removed:
method UnsupervisedMixin.fit(X, y=…) - removed:
variable VALID_METRICS - removed:
variable VALID_METRICS_SPARSE - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class KNeighborsClassifier(NeighborsBase, KNeighborsMixin, SupervisedIntegerMixin, ClassifierMixin) - removed:
class RadiusNeighborsClassifier(NeighborsBase, RadiusNeighborsMixin, SupervisedIntegerMixin, ClassifierMixin) - removed:
constructor KNeighborsClassifier(n_neighbors=…, weights=…, algorithm=…, leaf_size=…, p=…, metric=…, metric_params=…, n_jobs=…, **kwargs) - removed:
constructor RadiusNeighborsClassifier(radius=…, weights=…, algorithm=…, leaf_size=…, p=…, metric=…, outlier_label=…, metric_params=…, n_jobs=…, **kwargs) - removed:
method KNeighborsClassifier.predict(X) - removed:
method KNeighborsClassifier.predict_proba(X) - removed:
method RadiusNeighborsClassifier.predict(X) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function kneighbors_graph(X, n_neighbors, mode=…, metric=…, p=…, metric_params=…, include_self=…, n_jobs=…) - removed:
function radius_neighbors_graph(X, radius, mode=…, metric=…, p=…, metric_params=…, include_self=…, n_jobs=…) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class KernelDensity(BaseEstimator) - removed:
constructor KernelDensity(bandwidth=…, algorithm=…, kernel=…, metric=…, atol=…, rtol=…, breadth_first=…, leaf_size=…, metric_params=…) - removed:
method KernelDensity.fit(X, y=…, sample_weight=…) - removed:
method KernelDensity.sample(n_samples=…, random_state=…) - removed:
method KernelDensity.score(X, y=…) - removed:
method KernelDensity.score_samples(X) - removed:
variable TREE_DICT - removed:
variable VALID_KERNELS - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class LocalOutlierFactor(NeighborsBase, KNeighborsMixin, UnsupervisedMixin, OutlierMixin) - removed:
constructor LocalOutlierFactor(n_neighbors=…, algorithm=…, leaf_size=…, metric=…, p=…, metric_params=…, contamination=…, novelty=…, n_jobs=…) - removed:
method LocalOutlierFactor.fit(X, y=…) - removed:
property LocalOutlierFactor.decision_function - removed:
property LocalOutlierFactor.fit_predict - removed:
property LocalOutlierFactor.predict - removed:
property LocalOutlierFactor.score_samples - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class NeighborhoodComponentsAnalysis(BaseEstimator, TransformerMixin) - removed:
constructor NeighborhoodComponentsAnalysis(n_components=…, init=…, warm_start=…, max_iter=…, tol=…, callback=…, verbose=…, random_state=…) - removed:
method NeighborhoodComponentsAnalysis.fit(X, y) - removed:
method NeighborhoodComponentsAnalysis.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class NearestCentroid(BaseEstimator, ClassifierMixin) - removed:
constructor NearestCentroid(metric=…, shrink_threshold=…) - removed:
method NearestCentroid.fit(X, y) - removed:
method NearestCentroid.predict(X) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class KNeighborsRegressor(NeighborsBase, KNeighborsMixin, SupervisedFloatMixin, RegressorMixin) - removed:
class RadiusNeighborsRegressor(NeighborsBase, RadiusNeighborsMixin, SupervisedFloatMixin, RegressorMixin) - removed:
constructor KNeighborsRegressor(n_neighbors=…, weights=…, algorithm=…, leaf_size=…, p=…, metric=…, metric_params=…, n_jobs=…, **kwargs) - removed:
constructor RadiusNeighborsRegressor(radius=…, weights=…, algorithm=…, leaf_size=…, p=…, metric=…, metric_params=…, n_jobs=…, **kwargs) - removed:
method KNeighborsRegressor.predict(X) - removed:
method RadiusNeighborsRegressor.predict(X) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class NearestNeighbors(NeighborsBase, KNeighborsMixin, RadiusNeighborsMixin, UnsupervisedMixin) - removed:
constructor NearestNeighbors(n_neighbors=…, radius=…, algorithm=…, leaf_size=…, metric=…, p=…, metric_params=…, n_jobs=…, **kwargs) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class BaseMultilayerPerceptron(BaseEstimator) - removed:
class MLPClassifier(BaseMultilayerPerceptron, ClassifierMixin) - removed:
class MLPRegressor(BaseMultilayerPerceptron, RegressorMixin) - removed:
constructor BaseMultilayerPerceptron(hidden_layer_sizes, activation, solver, alpha, batch_size, learning_rate, learning_rate_init, power_t, max_iter, loss, shuffle, random_state, tol, verbose, warm_start, momentum, nesterovs_momentum, early_stopping, validation_fraction, beta_1, beta_2, epsilon, n_iter_no_change) - removed:
constructor MLPClassifier(hidden_layer_sizes=…, activation=…, solver=…, alpha=…, batch_size=…, learning_rate=…, learning_rate_init=…, power_t=…, max_iter=…, shuffle=…, random_state=…, tol=…, verbose=…, warm_start=…, momentum=…, nesterovs_momentum=…, early_stopping=…, validation_fraction=…, beta_1=…, beta_2=…, epsilon=…, n_iter_no_change=…) - removed:
constructor MLPRegressor(hidden_layer_sizes=…, activation=…, solver=…, alpha=…, batch_size=…, learning_rate=…, learning_rate_init=…, power_t=…, max_iter=…, shuffle=…, random_state=…, tol=…, verbose=…, warm_start=…, momentum=…, nesterovs_momentum=…, early_stopping=…, validation_fraction=…, beta_1=…, beta_2=…, epsilon=…, n_iter_no_change=…) - removed:
method BaseMultilayerPerceptron.fit(X, y) - removed:
method MLPClassifier.fit(X, y) - removed:
method MLPClassifier.predict(X) - removed:
method MLPClassifier.predict_log_proba(X) - removed:
method MLPClassifier.predict_proba(X) - removed:
method MLPRegressor.predict(X) - removed:
property BaseMultilayerPerceptron.partial_fit - removed:
property MLPClassifier.partial_fit - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class BernoulliRBM(BaseEstimator, TransformerMixin) - removed:
constructor BernoulliRBM(n_components=…, learning_rate=…, batch_size=…, n_iter=…, verbose=…, random_state=…) - removed:
method BernoulliRBM.fit(X, y=…) - removed:
method BernoulliRBM.gibbs(v) - removed:
method BernoulliRBM.partial_fit(X, y=…) - removed:
method BernoulliRBM.score_samples(X) - removed:
method BernoulliRBM.transform(X) - added:
variable correct_import_path - added:
variable deprecated_path
- changed:
class FeatureUnion(_BaseComposition, TransformerMixin) → class FeatureUnion(TransformerMixin, _BaseComposition) - changed:
method FeatureUnion.fit(X, y=…) → method FeatureUnion.fit(X, y=…, **fit_params) - added:
method Pipeline.score_samples(X)
- removed:
export Imputer
- removed:
class Binarizer(BaseEstimator, TransformerMixin) - removed:
class KernelCenterer(BaseEstimator, TransformerMixin) - removed:
class MaxAbsScaler(BaseEstimator, TransformerMixin) - removed:
class MinMaxScaler(BaseEstimator, TransformerMixin) - removed:
class Normalizer(BaseEstimator, TransformerMixin) - removed:
class PowerTransformer(BaseEstimator, TransformerMixin) - removed:
class QuantileTransformer(BaseEstimator, TransformerMixin) - removed:
class RobustScaler(BaseEstimator, TransformerMixin) - removed:
class StandardScaler(BaseEstimator, TransformerMixin) - removed:
constructor Binarizer(threshold=…, copy=…) - removed:
constructor KernelCenterer() - removed:
constructor MaxAbsScaler(copy=…) - removed:
constructor MinMaxScaler(feature_range=…, copy=…) - removed:
constructor Normalizer(norm=…, copy=…) - removed:
constructor PowerTransformer(method=…, standardize=…, copy=…) - removed:
constructor QuantileTransformer(n_quantiles=…, output_distribution=…, ignore_implicit_zeros=…, subsample=…, random_state=…, copy=…) - removed:
constructor RobustScaler(with_centering=…, with_scaling=…, quantile_range=…, copy=…) - removed:
constructor StandardScaler(copy=…, with_mean=…, with_std=…) - removed:
export OneHotEncoder - removed:
function add_dummy_feature(X, value=…) - removed:
function binarize(X, threshold=…, copy=…) - removed:
function maxabs_scale(X, axis=…, copy=…) - removed:
function minmax_scale(X, feature_range=…, axis=…, copy=…) - removed:
function normalize(X, norm=…, axis=…, copy=…, return_norm=…) - removed:
function power_transform(X, method=…, standardize=…, copy=…) - removed:
function quantile_transform(X, axis=…, n_quantiles=…, output_distribution=…, ignore_implicit_zeros=…, subsample=…, random_state=…, copy=…) - removed:
function robust_scale(X, axis=…, with_centering=…, with_scaling=…, quantile_range=…, copy=…) - removed:
function scale(X, axis=…, with_mean=…, with_std=…, copy=…) - removed:
method Binarizer.fit(X, y=…) - removed:
method Binarizer.transform(X, copy=…) - removed:
method KernelCenterer.fit(K, y=…) - removed:
method KernelCenterer.transform(K, copy=…) - removed:
method MaxAbsScaler.fit(X, y=…) - removed:
method MaxAbsScaler.inverse_transform(X) - removed:
method MaxAbsScaler.partial_fit(X, y=…) - removed:
method MaxAbsScaler.transform(X) - removed:
method MinMaxScaler.fit(X, y=…) - removed:
method MinMaxScaler.inverse_transform(X) - removed:
method MinMaxScaler.partial_fit(X, y=…) - removed:
method MinMaxScaler.transform(X) - removed:
method Normalizer.fit(X, y=…) - removed:
method Normalizer.transform(X, copy=…) - removed:
method PowerTransformer.fit(X, y=…) - removed:
method PowerTransformer.fit_transform(X, y=…) - removed:
method PowerTransformer.inverse_transform(X) - removed:
method PowerTransformer.transform(X) - removed:
method QuantileTransformer.fit(X, y=…) - removed:
method QuantileTransformer.inverse_transform(X) - removed:
method QuantileTransformer.transform(X) - removed:
method RobustScaler.fit(X, y=…) - removed:
method RobustScaler.inverse_transform(X) - removed:
method RobustScaler.transform(X) - removed:
method StandardScaler.fit(X, y=…) - removed:
method StandardScaler.inverse_transform(X, copy=…) - removed:
method StandardScaler.partial_fit(X, y=…) - removed:
method StandardScaler.transform(X, copy=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class Imputer(BaseEstimator, TransformerMixin) - removed:
constructor Imputer(missing_values=…, strategy=…, axis=…, verbose=…, copy=…) - removed:
method Imputer.fit(X, y=…) - removed:
method Imputer.transform(X)
- removed:
class LabelBinarizer(BaseEstimator, TransformerMixin) - removed:
class LabelEncoder(BaseEstimator, TransformerMixin) - removed:
class MultiLabelBinarizer(BaseEstimator, TransformerMixin) - removed:
constructor LabelBinarizer(neg_label=…, pos_label=…, sparse_output=…) - removed:
constructor MultiLabelBinarizer(classes=…, sparse_output=…) - removed:
function label_binarize(y, classes, neg_label=…, pos_label=…, sparse_output=…) - removed:
method LabelBinarizer.fit(y) - removed:
method LabelBinarizer.fit_transform(y) - removed:
method LabelBinarizer.inverse_transform(Y, threshold=…) - removed:
method LabelBinarizer.transform(y) - removed:
method LabelEncoder.fit(y) - removed:
method LabelEncoder.fit_transform(y) - removed:
method LabelEncoder.inverse_transform(y) - removed:
method LabelEncoder.transform(y) - removed:
method MultiLabelBinarizer.fit(y) - removed:
method MultiLabelBinarizer.fit_transform(y) - removed:
method MultiLabelBinarizer.inverse_transform(yt) - removed:
method MultiLabelBinarizer.transform(y) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class BaseLabelPropagation(BaseEstimator, ClassifierMixin) - removed:
class LabelPropagation(BaseLabelPropagation) - removed:
class LabelSpreading(BaseLabelPropagation) - removed:
constructor BaseLabelPropagation(kernel=…, gamma=…, n_neighbors=…, alpha=…, max_iter=…, tol=…, n_jobs=…) - removed:
constructor LabelPropagation(kernel=…, gamma=…, n_neighbors=…, max_iter=…, tol=…, n_jobs=…) - removed:
constructor LabelSpreading(kernel=…, gamma=…, n_neighbors=…, alpha=…, max_iter=…, tol=…, n_jobs=…) - removed:
method BaseLabelPropagation.fit(X, y) - removed:
method BaseLabelPropagation.predict(X) - removed:
method BaseLabelPropagation.predict_proba(X) - removed:
method LabelPropagation.fit(X, y) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
export liblinear - removed:
export libsvm - removed:
export libsvm_sparse
- removed:
class BaseLibSVM(BaseEstimator) - removed:
class BaseSVC(BaseLibSVM, ClassifierMixin) - removed:
constructor BaseLibSVM(kernel, degree, gamma, coef0, tol, C, nu, epsilon, shrinking, probability, cache_size, class_weight, verbose, max_iter, random_state) - removed:
constructor BaseSVC(kernel, degree, gamma, coef0, tol, C, nu, shrinking, probability, cache_size, class_weight, verbose, max_iter, decision_function_shape, random_state) - removed:
method BaseLibSVM.fit(X, y, sample_weight=…) - removed:
method BaseLibSVM.predict(X) - removed:
method BaseSVC.decision_function(X) - removed:
method BaseSVC.predict(X) - removed:
property BaseLibSVM.coef_ - removed:
property BaseSVC.predict_log_proba - removed:
property BaseSVC.predict_proba - removed:
variable LIBSVM_IMPL - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function l1_min_c(X, y, loss=…, fit_intercept=…, intercept_scaling=…) - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class LinearSVC(BaseEstimator, LinearClassifierMixin, SparseCoefMixin) - removed:
class LinearSVR(LinearModel, RegressorMixin) - removed:
class NuSVC(BaseSVC) - removed:
class NuSVR(BaseLibSVM, RegressorMixin) - removed:
class OneClassSVM(BaseLibSVM, OutlierMixin) - removed:
class SVC(BaseSVC) - removed:
class SVR(BaseLibSVM, RegressorMixin) - removed:
constructor LinearSVC(penalty=…, loss=…, dual=…, tol=…, C=…, multi_class=…, fit_intercept=…, intercept_scaling=…, class_weight=…, verbose=…, random_state=…, max_iter=…) - removed:
constructor LinearSVR(epsilon=…, tol=…, C=…, loss=…, fit_intercept=…, intercept_scaling=…, dual=…, verbose=…, random_state=…, max_iter=…) - removed:
constructor NuSVC(nu=…, kernel=…, degree=…, gamma=…, coef0=…, shrinking=…, probability=…, tol=…, cache_size=…, class_weight=…, verbose=…, max_iter=…, decision_function_shape=…, random_state=…) - removed:
constructor NuSVR(nu=…, C=…, kernel=…, degree=…, gamma=…, coef0=…, shrinking=…, tol=…, cache_size=…, verbose=…, max_iter=…) - removed:
constructor OneClassSVM(kernel=…, degree=…, gamma=…, coef0=…, tol=…, nu=…, shrinking=…, cache_size=…, verbose=…, max_iter=…, random_state=…) - removed:
constructor SVC(C=…, kernel=…, degree=…, gamma=…, coef0=…, shrinking=…, probability=…, tol=…, cache_size=…, class_weight=…, verbose=…, max_iter=…, decision_function_shape=…, random_state=…) - removed:
constructor SVR(kernel=…, degree=…, gamma=…, coef0=…, tol=…, C=…, epsilon=…, shrinking=…, cache_size=…, verbose=…, max_iter=…) - removed:
method LinearSVC.fit(X, y, sample_weight=…) - removed:
method LinearSVR.fit(X, y, sample_weight=…) - removed:
method OneClassSVM.decision_function(X) - removed:
method OneClassSVM.fit(X, y=…, sample_weight=…, **params) - removed:
method OneClassSVM.predict(X) - removed:
method OneClassSVM.score_samples(X) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- added:
export BaseDecisionTree
- removed:
class Sentinel(object) - removed:
function export_graphviz(decision_tree, out_file=…, max_depth=…, feature_names=…, class_names=…, label=…, filled=…, leaves_parallel=…, impurity=…, node_ids=…, proportion=…, rotate=…, rounded=…, special_characters=…, precision=…) - removed:
function export_text(decision_tree, feature_names=…, max_depth=…, spacing=…, decimals=…, show_weights=…) - removed:
function plot_tree(decision_tree, max_depth=…, feature_names=…, class_names=…, label=…, filled=…, impurity=…, node_ids=…, proportion=…, rotate=…, rounded=…, precision=…, ax=…, fontsize=…) - removed:
variable SENTINEL - added:
variable correct_import_path - added:
variable deprecated_path
- removed:
class DecisionTreeClassifier(BaseDecisionTree, ClassifierMixin) - removed:
class DecisionTreeRegressor(BaseDecisionTree, RegressorMixin) - removed:
class ExtraTreeClassifier(DecisionTreeClassifier) - removed:
class ExtraTreeRegressor(DecisionTreeRegressor) - removed:
constructor DecisionTreeClassifier(criterion=…, splitter=…, max_depth=…, min_samples_split=…, min_samples_leaf=…, min_weight_fraction_leaf=…, max_features=…, random_state=…, max_leaf_nodes=…, min_impurity_decrease=…, min_impurity_split=…, class_weight=…, presort=…) - removed:
constructor DecisionTreeRegressor(criterion=…, splitter=…, max_depth=…, min_samples_split=…, min_samples_leaf=…, min_weight_fraction_leaf=…, max_features=…, random_state=…, max_leaf_nodes=…, min_impurity_decrease=…, min_impurity_split=…, presort=…) - removed:
constructor ExtraTreeClassifier(criterion=…, splitter=…, max_depth=…, min_samples_split=…, min_samples_leaf=…, min_weight_fraction_leaf=…, max_features=…, random_state=…, max_leaf_nodes=…, min_impurity_decrease=…, min_impurity_split=…, class_weight=…) - removed:
constructor ExtraTreeRegressor(criterion=…, splitter=…, max_depth=…, min_samples_split=…, min_samples_leaf=…, min_weight_fraction_leaf=…, max_features=…, random_state=…, min_impurity_decrease=…, min_impurity_split=…, max_leaf_nodes=…) - removed:
method DecisionTreeClassifier.fit(X, y, sample_weight=…, check_input=…, X_idx_sorted=…) - removed:
method DecisionTreeClassifier.predict_log_proba(X) - removed:
method DecisionTreeClassifier.predict_proba(X, check_input=…) - removed:
method DecisionTreeRegressor.fit(X, y, sample_weight=…, check_input=…, X_idx_sorted=…) - added:
variable correct_import_path - added:
variable deprecated_path
- changed:
function safe_indexing(X, indices) → function safe_indexing(X, indices, axis=…) - added:
function all_estimators(include_meta_estimators=…, include_other=…, type_filter=…, include_dont_test=…)
- removed:
constructor NotAnArray(data) - removed:
function multioutput_estimator_convert_y_2d(estimator, y) - changed:
class NotAnArray → class NotAnArray(_NotAnArray) - changed:
function check_estimator(Estimator) → function check_estimator(Estimator, generate_only=…) - changed:
function check_no_attributes_set_in_init(name, estimator) → function check_no_attributes_set_in_init(name, estimator_orig) - added:
function check_classifier_multioutput(name, estimator) - added:
function check_classifiers_multilabel_representation_invariance(name, classifier_orig) - added:
function check_fit_non_negative(name, estimator_orig) - added:
function check_nonsquare_error(name, estimator_orig) - added:
function check_regressor_multioutput(name, estimator) - added:
function check_sample_weights_not_an_array(name, estimator_orig) - added:
function enforce_estimator_tags_y(estimator, y) - added:
function parametrize_with_checks(estimators)
- added:
variable correct_import_path - added:
variable deprecated_path
- removed:
function parallel_helper(obj, methodname, *args, **kwargs) - added:
class loguniform(scipy.stats.reciprocal)
- removed:
class ArraySlicingWrapper - removed:
class CheckingClassifier(BaseEstimator, ClassifierMixin) - removed:
class MockDataFrame - removed:
constructor ArraySlicingWrapper(array) - removed:
constructor CheckingClassifier(check_y=…, check_X=…, foo_param=…, expected_fit_params=…) - removed:
constructor MockDataFrame(array) - removed:
method CheckingClassifier.fit(X, y, **fit_params) - removed:
method CheckingClassifier.predict(T) - removed:
method CheckingClassifier.score(X=…, Y=…) - added:
variable correct_import_path - added:
variable deprecated_path
- added:
variable correct_import_path - added:
variable deprecated_path
- changed:
function check_is_fitted(estimator, attributes, msg=…, all_or_any=…) → function check_is_fitted(estimator, attributes=…, msg=…, all_or_any=…)
- added:
variable correct_import_path - added:
variable deprecated_path