Index A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V A accuracy_score() (in module cuml.metrics) add_dummy_feature() (in module cuml.preprocessing) adjusted_rand_score() (in module cuml.metrics.cluster) AgglomerativeClustering (class in cuml.cluster) all_points_membership_vectors() (in module cuml.cluster.hdbscan) approximate_predict() (in module cuml.cluster.hdbscan) as_nvforest() (cuml.ensemble.IsolationForest method) (cuml.ensemble.RandomForestClassifier method) (cuml.ensemble.RandomForestRegressor method) as_sklearn() (cuml.cluster.DBSCAN method) (cuml.cluster.hdbscan.HDBSCAN method) (cuml.cluster.KMeans method) (cuml.cluster.SpectralClustering method) (cuml.covariance.EmpiricalCovariance method) (cuml.covariance.LedoitWolf method) (cuml.decomposition.IncrementalPCA method) (cuml.decomposition.PCA method) (cuml.decomposition.TruncatedSVD method) (cuml.ensemble.IsolationForest method) (cuml.ensemble.RandomForestClassifier method) (cuml.ensemble.RandomForestRegressor method) (cuml.kernel_ridge.KernelRidge method) (cuml.linear_model.ElasticNet method) (cuml.linear_model.Lasso method) (cuml.linear_model.LinearRegression method) (cuml.linear_model.LogisticRegression method) (cuml.linear_model.Ridge method) (cuml.manifold.SpectralEmbedding method) (cuml.manifold.TSNE method) (cuml.manifold.UMAP method) (cuml.neighbors.KernelDensity method) (cuml.neighbors.KNeighborsClassifier method) (cuml.neighbors.KNeighborsRegressor method) (cuml.neighbors.LocalOutlierFactor method) (cuml.neighbors.NearestNeighbors method) (cuml.preprocessing.LabelBinarizer method) (cuml.preprocessing.LabelEncoder method) (cuml.preprocessing.OneHotEncoder method) (cuml.preprocessing.OrdinalEncoder method) (cuml.preprocessing.StandardScaler method) (cuml.preprocessing.TargetEncoder method) (cuml.svm.LinearSVC method) (cuml.svm.LinearSVR method) (cuml.svm.SVC method) (cuml.svm.SVR method) as_treelite() (cuml.ensemble.IsolationForest method) (cuml.ensemble.RandomForestClassifier method) (cuml.ensemble.RandomForestRegressor method) B BaseEstimator (class in cuml.dask.common.base) BernoulliNB (class in cuml.naive_bayes) binarize() (in module cuml.preprocessing) Binarizer (class in cuml.preprocessing) C CategoricalNB (class in cuml.naive_bayes) CD (class in cuml.dask.solvers) (class in cuml.solvers) coef_ (cuml.svm.SVC property) (cuml.svm.SVR property) ColumnTransformer (class in cuml.compose) ComplementNB (class in cuml.naive_bayes) completeness_score() (in module cuml.metrics.cluster) condensed_tree_ (cuml.cluster.hdbscan.HDBSCAN property) confusion_matrix() (in module cuml.metrics) CountVectorizer (class in cuml.feature_extraction.text) cuml module cuml.accel module cuml.cluster module cuml.compose module cuml.covariance module cuml.dask module cuml.datasets module cuml.decomposition module cuml.ensemble module cuml.explainer module cuml.feature_extraction module cuml.kernel_ridge module cuml.linear_model module cuml.manifold module cuml.metrics module cuml.model_selection module cuml.multiclass module cuml.naive_bayes module cuml.neighbors module cuml.preprocessing module cuml.random_projection module cuml.solvers module cuml.svm module D DBSCAN (class in cuml.cluster) (class in cuml.dask.cluster) decision_function() (cuml.ensemble.IsolationForest method) (cuml.linear_model.LogisticRegression method) (cuml.linear_model.MBSGDClassifier method) (cuml.multiclass.OneVsOneClassifier method) (cuml.multiclass.OneVsRestClassifier method) (cuml.neighbors.LocalOutlierFactor method) (cuml.svm.LinearSVC method) (cuml.svm.SVC method) DelayedInverseTransformMixin (class in cuml.dask.common.base) DelayedParallelFunc (class in cuml.dask.common.base) DelayedPredictionMixin (class in cuml.dask.common.base) DelayedTransformMixin (class in cuml.dask.common.base) E ElasticNet (class in cuml.dask.linear_model) (class in cuml.linear_model) EmpiricalCovariance (class in cuml.covariance) enabled() (in module cuml.accel) entropy() (in module cuml.metrics.cluster) error_norm() (cuml.covariance.EmpiricalCovariance method) (cuml.covariance.LedoitWolf method) expected_value (cuml.explainer.TreeExplainer attribute) F find_ab_params() (in module cuml.manifold.umap) fit() (cuml.cluster.AgglomerativeClustering method) (cuml.cluster.DBSCAN method) (cuml.cluster.hdbscan.HDBSCAN method) (cuml.cluster.KMeans method) (cuml.cluster.SpectralClustering method) (cuml.compose.ColumnTransformer method) (cuml.covariance.EmpiricalCovariance method) (cuml.covariance.LedoitWolf method) (cuml.dask.cluster.DBSCAN method) (cuml.dask.cluster.KMeans method) (cuml.dask.decomposition.PCA method) (cuml.dask.decomposition.TruncatedSVD method) (cuml.dask.ensemble.RandomForestClassifier method) (cuml.dask.ensemble.RandomForestRegressor method) (cuml.dask.feature_extraction.text.TfidfTransformer method) (cuml.dask.linear_model.ElasticNet method) (cuml.dask.linear_model.Lasso method) (cuml.dask.linear_model.LinearRegression method) (cuml.dask.linear_model.Ridge method) (cuml.dask.naive_bayes.MultinomialNB method) (cuml.dask.neighbors.KNeighborsClassifier method) (cuml.dask.neighbors.KNeighborsRegressor method) (cuml.dask.neighbors.NearestNeighbors method) (cuml.dask.preprocessing.LabelBinarizer method) (cuml.dask.preprocessing.OneHotEncoder method) (cuml.dask.solvers.CD method) (cuml.decomposition.IncrementalPCA method) (cuml.decomposition.PCA method) (cuml.decomposition.TruncatedSVD method) (cuml.ensemble.IsolationForest method) (cuml.ensemble.RandomForestClassifier method) (cuml.ensemble.RandomForestRegressor method) (cuml.feature_extraction.text.CountVectorizer method) (cuml.feature_extraction.text.HashingVectorizer method) (cuml.feature_extraction.text.TfidfTransformer method) (cuml.feature_extraction.text.TfidfVectorizer method) (cuml.kernel_ridge.KernelRidge method) (cuml.linear_model.ElasticNet method) (cuml.linear_model.Lars method) (cuml.linear_model.Lasso method) (cuml.linear_model.LinearRegression method) (cuml.linear_model.LogisticRegression method) (cuml.linear_model.MBSGDClassifier method) (cuml.linear_model.MBSGDRegressor method) (cuml.linear_model.Ridge method) (cuml.manifold.SpectralEmbedding method) (cuml.manifold.TSNE method) (cuml.manifold.UMAP method) (cuml.multiclass.OneVsOneClassifier method) (cuml.multiclass.OneVsRestClassifier method) (cuml.naive_bayes.BernoulliNB method) (cuml.naive_bayes.CategoricalNB method) (cuml.naive_bayes.ComplementNB method) (cuml.naive_bayes.GaussianNB method) (cuml.naive_bayes.MultinomialNB method) (cuml.neighbors.KernelDensity method) (cuml.neighbors.KNeighborsClassifier method) (cuml.neighbors.KNeighborsRegressor method) (cuml.neighbors.LocalOutlierFactor method) (cuml.neighbors.NearestNeighbors method) (cuml.preprocessing.Binarizer method) (cuml.preprocessing.FunctionTransformer method) (cuml.preprocessing.KBinsDiscretizer method) (cuml.preprocessing.KernelCenterer method) (cuml.preprocessing.LabelBinarizer method) (cuml.preprocessing.LabelEncoder method) (cuml.preprocessing.MaxAbsScaler method) (cuml.preprocessing.MinMaxScaler method) (cuml.preprocessing.MissingIndicator method) (cuml.preprocessing.Normalizer method) (cuml.preprocessing.OneHotEncoder method) (cuml.preprocessing.OrdinalEncoder method) (cuml.preprocessing.PolynomialFeatures method) (cuml.preprocessing.PowerTransformer method) (cuml.preprocessing.QuantileTransformer method) (cuml.preprocessing.RobustScaler method) (cuml.preprocessing.SimpleImputer method) (cuml.preprocessing.StandardScaler method) (cuml.preprocessing.TargetEncoder method) (cuml.random_projection.GaussianRandomProjection method) (cuml.random_projection.SparseRandomProjection method) (cuml.solvers.CD method) (cuml.solvers.QN method) (cuml.solvers.SGD method) (cuml.svm.LinearSVC method) (cuml.svm.LinearSVR method) (cuml.svm.SVC method) (cuml.svm.SVR method) fit_predict() (cuml.cluster.AgglomerativeClustering method) (cuml.cluster.DBSCAN method) (cuml.cluster.hdbscan.HDBSCAN method) (cuml.cluster.KMeans method) (cuml.cluster.SpectralClustering method) (cuml.dask.cluster.DBSCAN method) (cuml.dask.cluster.KMeans method) (cuml.ensemble.IsolationForest method) (cuml.neighbors.LocalOutlierFactor method) fit_transform() (cuml.cluster.KMeans method) (cuml.compose.ColumnTransformer method) (cuml.dask.cluster.KMeans method) (cuml.dask.decomposition.PCA method) (cuml.dask.decomposition.TruncatedSVD method) (cuml.dask.feature_extraction.text.TfidfTransformer method) (cuml.dask.preprocessing.LabelBinarizer method) (cuml.dask.preprocessing.OneHotEncoder method) (cuml.decomposition.IncrementalPCA method) (cuml.decomposition.PCA method) (cuml.decomposition.TruncatedSVD method) (cuml.feature_extraction.text.CountVectorizer method) (cuml.feature_extraction.text.HashingVectorizer method) (cuml.feature_extraction.text.TfidfTransformer method) (cuml.feature_extraction.text.TfidfVectorizer method) (cuml.manifold.SpectralEmbedding method) (cuml.manifold.TSNE method) (cuml.manifold.UMAP method) (cuml.preprocessing.Binarizer method) (cuml.preprocessing.FunctionTransformer method) (cuml.preprocessing.KBinsDiscretizer method) (cuml.preprocessing.KernelCenterer method) (cuml.preprocessing.LabelBinarizer method) (cuml.preprocessing.LabelEncoder method) (cuml.preprocessing.MaxAbsScaler method) (cuml.preprocessing.MinMaxScaler method) (cuml.preprocessing.MissingIndicator method) (cuml.preprocessing.Normalizer method) (cuml.preprocessing.OneHotEncoder method) (cuml.preprocessing.OrdinalEncoder method) (cuml.preprocessing.PolynomialFeatures method) (cuml.preprocessing.PowerTransformer method) (cuml.preprocessing.QuantileTransformer method) (cuml.preprocessing.RobustScaler method) (cuml.preprocessing.SimpleImputer method) (cuml.preprocessing.StandardScaler method) (cuml.preprocessing.TargetEncoder method) (cuml.random_projection.GaussianRandomProjection method) (cuml.random_projection.SparseRandomProjection method) from_sklearn() (cuml.cluster.DBSCAN class method) (cuml.cluster.hdbscan.HDBSCAN class method) (cuml.cluster.KMeans class method) (cuml.cluster.SpectralClustering class method) (cuml.covariance.EmpiricalCovariance class method) (cuml.covariance.LedoitWolf class method) (cuml.decomposition.IncrementalPCA class method) (cuml.decomposition.PCA class method) (cuml.decomposition.TruncatedSVD class method) (cuml.ensemble.IsolationForest class method) (cuml.ensemble.RandomForestClassifier class method) (cuml.ensemble.RandomForestRegressor class method) (cuml.kernel_ridge.KernelRidge class method) (cuml.linear_model.ElasticNet class method) (cuml.linear_model.Lasso class method) (cuml.linear_model.LinearRegression class method) (cuml.linear_model.LogisticRegression class method) (cuml.linear_model.Ridge class method) (cuml.manifold.SpectralEmbedding class method) (cuml.manifold.TSNE class method) (cuml.manifold.UMAP class method) (cuml.neighbors.KernelDensity class method) (cuml.neighbors.KNeighborsClassifier class method) (cuml.neighbors.KNeighborsRegressor class method) (cuml.neighbors.LocalOutlierFactor class method) (cuml.neighbors.NearestNeighbors class method) (cuml.preprocessing.LabelBinarizer class method) (cuml.preprocessing.LabelEncoder class method) (cuml.preprocessing.OneHotEncoder class method) (cuml.preprocessing.OrdinalEncoder class method) (cuml.preprocessing.StandardScaler class method) (cuml.preprocessing.TargetEncoder class method) (cuml.svm.LinearSVC class method) (cuml.svm.LinearSVR class method) (cuml.svm.SVC class method) (cuml.svm.SVR class method) FunctionTransformer (class in cuml.preprocessing) fuzzy_simplicial_set() (in module cuml.manifold.umap) G GaussianNB (class in cuml.naive_bayes) GaussianRandomProjection (class in cuml.random_projection) generate_prediction_data() (cuml.cluster.hdbscan.HDBSCAN method) get_combined_model() (cuml.dask.cluster.DBSCAN method) (cuml.dask.cluster.KMeans method) (cuml.dask.common.base.BaseEstimator method) (cuml.dask.decomposition.PCA method) (cuml.dask.decomposition.TruncatedSVD method) (cuml.dask.ensemble.RandomForestClassifier method) (cuml.dask.ensemble.RandomForestRegressor method) (cuml.dask.feature_extraction.text.TfidfTransformer method) (cuml.dask.linear_model.ElasticNet method) (cuml.dask.linear_model.Lasso method) (cuml.dask.linear_model.LinearRegression method) (cuml.dask.linear_model.Ridge method) (cuml.dask.manifold.UMAP method) (cuml.dask.naive_bayes.MultinomialNB method) (cuml.dask.neighbors.KNeighborsClassifier method) (cuml.dask.neighbors.KNeighborsRegressor method) (cuml.dask.neighbors.NearestNeighbors method) (cuml.dask.preprocessing.LabelBinarizer method) (cuml.dask.preprocessing.OneHotEncoder method) (cuml.dask.solvers.CD method) get_feature_names_out() (cuml.cluster.KMeans method) (cuml.compose.ColumnTransformer method) (cuml.decomposition.IncrementalPCA method) (cuml.decomposition.PCA method) (cuml.decomposition.TruncatedSVD method) (cuml.feature_extraction.text.CountVectorizer method) (cuml.feature_extraction.text.TfidfTransformer method) (cuml.feature_extraction.text.TfidfVectorizer method) (cuml.manifold.SpectralEmbedding method) (cuml.manifold.TSNE method) (cuml.manifold.UMAP method) (cuml.preprocessing.Binarizer method) (cuml.preprocessing.KBinsDiscretizer method) (cuml.preprocessing.KernelCenterer method) (cuml.preprocessing.MaxAbsScaler method) (cuml.preprocessing.MinMaxScaler method) (cuml.preprocessing.MissingIndicator method) (cuml.preprocessing.Normalizer method) (cuml.preprocessing.OneHotEncoder method) (cuml.preprocessing.OrdinalEncoder method) (cuml.preprocessing.PolynomialFeatures method) (cuml.preprocessing.PowerTransformer method) (cuml.preprocessing.QuantileTransformer method) (cuml.preprocessing.RobustScaler method) (cuml.preprocessing.SimpleImputer method) (cuml.preprocessing.StandardScaler method) (cuml.preprocessing.TargetEncoder method) (cuml.random_projection.GaussianRandomProjection method) (cuml.random_projection.SparseRandomProjection method) get_n_splits() (cuml.model_selection.KFold method) get_neighbors() (cuml.dask.neighbors.KNeighborsClassifier method) (cuml.dask.neighbors.KNeighborsRegressor method) (cuml.dask.neighbors.NearestNeighbors method) get_params() (cuml.cluster.AgglomerativeClustering method) (cuml.cluster.DBSCAN method) (cuml.cluster.hdbscan.HDBSCAN method) (cuml.cluster.KMeans method) (cuml.cluster.SpectralClustering method) (cuml.compose.ColumnTransformer method) (cuml.covariance.EmpiricalCovariance method) (cuml.covariance.LedoitWolf method) (cuml.dask.ensemble.RandomForestClassifier method) (cuml.dask.ensemble.RandomForestRegressor method) (cuml.decomposition.IncrementalPCA method) (cuml.decomposition.PCA method) (cuml.decomposition.TruncatedSVD method) (cuml.ensemble.IsolationForest method) (cuml.ensemble.RandomForestClassifier method) (cuml.ensemble.RandomForestRegressor method) (cuml.feature_extraction.text.CountVectorizer method) (cuml.feature_extraction.text.HashingVectorizer method) (cuml.feature_extraction.text.TfidfTransformer method) (cuml.feature_extraction.text.TfidfVectorizer method) (cuml.kernel_ridge.KernelRidge method) (cuml.linear_model.ElasticNet method) (cuml.linear_model.Lars method) (cuml.linear_model.Lasso method) (cuml.linear_model.LinearRegression method) (cuml.linear_model.LogisticRegression method) (cuml.linear_model.MBSGDClassifier method) (cuml.linear_model.MBSGDRegressor method) (cuml.linear_model.Ridge method) (cuml.manifold.SpectralEmbedding method) (cuml.manifold.TSNE method) (cuml.manifold.UMAP method) (cuml.multiclass.OneVsOneClassifier method) (cuml.multiclass.OneVsRestClassifier method) (cuml.naive_bayes.BernoulliNB method) (cuml.naive_bayes.CategoricalNB method) (cuml.naive_bayes.ComplementNB method) (cuml.naive_bayes.GaussianNB method) (cuml.naive_bayes.MultinomialNB method) (cuml.neighbors.KernelDensity method) (cuml.neighbors.KNeighborsClassifier method) (cuml.neighbors.KNeighborsRegressor method) (cuml.neighbors.LocalOutlierFactor method) (cuml.neighbors.NearestNeighbors method) (cuml.preprocessing.Binarizer method) (cuml.preprocessing.FunctionTransformer method) (cuml.preprocessing.KBinsDiscretizer method) (cuml.preprocessing.KernelCenterer method) (cuml.preprocessing.LabelBinarizer method) (cuml.preprocessing.LabelEncoder method) (cuml.preprocessing.MaxAbsScaler method) (cuml.preprocessing.MinMaxScaler method) (cuml.preprocessing.MissingIndicator method) (cuml.preprocessing.Normalizer method) (cuml.preprocessing.OneHotEncoder method) (cuml.preprocessing.OrdinalEncoder method) (cuml.preprocessing.PolynomialFeatures method) (cuml.preprocessing.PowerTransformer method) (cuml.preprocessing.QuantileTransformer method) (cuml.preprocessing.RobustScaler method) (cuml.preprocessing.SimpleImputer method) (cuml.preprocessing.StandardScaler method) (cuml.preprocessing.TargetEncoder method) (cuml.random_projection.GaussianRandomProjection method) (cuml.random_projection.SparseRandomProjection method) (cuml.solvers.CD method) (cuml.solvers.QN method) (cuml.solvers.SGD method) (cuml.svm.LinearSVC method) (cuml.svm.LinearSVR method) (cuml.svm.SVC method) (cuml.svm.SVR method) get_precision() (cuml.covariance.EmpiricalCovariance method) (cuml.covariance.LedoitWolf method) H HashingVectorizer (class in cuml.feature_extraction.text) HDBSCAN (class in cuml.cluster.hdbscan) homogeneity_score() (in module cuml.metrics.cluster) I IncrementalPCA (class in cuml.decomposition) install() (in module cuml.accel) intercept_ (cuml.svm.SVC property) inverse_transform() (cuml.dask.decomposition.PCA method) (cuml.dask.decomposition.TruncatedSVD method) (cuml.dask.preprocessing.LabelBinarizer method) (cuml.dask.preprocessing.OneHotEncoder method) (cuml.decomposition.IncrementalPCA method) (cuml.decomposition.PCA method) (cuml.decomposition.TruncatedSVD method) (cuml.feature_extraction.text.CountVectorizer method) (cuml.feature_extraction.text.TfidfVectorizer method) (cuml.manifold.UMAP method) (cuml.preprocessing.FunctionTransformer method) (cuml.preprocessing.KBinsDiscretizer method) (cuml.preprocessing.LabelBinarizer method) (cuml.preprocessing.LabelEncoder method) (cuml.preprocessing.MaxAbsScaler method) (cuml.preprocessing.MinMaxScaler method) (cuml.preprocessing.OneHotEncoder method) (cuml.preprocessing.OrdinalEncoder method) (cuml.preprocessing.PowerTransformer method) (cuml.preprocessing.QuantileTransformer method) (cuml.preprocessing.RobustScaler method) (cuml.preprocessing.StandardScaler method) is_proxy() (in module cuml.accel) IsolationForest (class in cuml.ensemble) J johnson_lindenstrauss_min_dim() (in module cuml.random_projection) K KBinsDiscretizer (class in cuml.preprocessing) KernelCenterer (class in cuml.preprocessing) KernelDensity (class in cuml.neighbors) KernelExplainer (class in cuml.explainer) KernelRidge (class in cuml.kernel_ridge) KFold (class in cuml.model_selection) kl_divergence() (in module cuml.metrics) kl_divergence_ (cuml.manifold.TSNE property) KMeans (class in cuml.cluster) (class in cuml.dask.cluster) kneighbors() (cuml.dask.neighbors.KNeighborsClassifier method) (cuml.dask.neighbors.KNeighborsRegressor method) (cuml.dask.neighbors.NearestNeighbors method) (cuml.neighbors.KNeighborsClassifier method) (cuml.neighbors.KNeighborsRegressor method) (cuml.neighbors.LocalOutlierFactor method) (cuml.neighbors.NearestNeighbors method) kneighbors_graph() (cuml.neighbors.KNeighborsClassifier method) (cuml.neighbors.KNeighborsRegressor method) (cuml.neighbors.LocalOutlierFactor method) (cuml.neighbors.NearestNeighbors method) KNeighborsClassifier (class in cuml.dask.neighbors) (class in cuml.neighbors) KNeighborsRegressor (class in cuml.dask.neighbors) (class in cuml.neighbors) L label_binarize() (in module cuml.preprocessing) LabelBinarizer (class in cuml.dask.preprocessing) (class in cuml.preprocessing) LabelEncoder (class in cuml.preprocessing) Lars (class in cuml.linear_model) Lasso (class in cuml.dask.linear_model) (class in cuml.linear_model) LedoitWolf (class in cuml.covariance) LinearRegression (class in cuml.dask.linear_model) (class in cuml.linear_model) LinearSVC (class in cuml.svm) LinearSVR (class in cuml.svm) LocalOutlierFactor (class in cuml.neighbors) log_loss() (in module cuml.metrics) LogisticRegression (class in cuml.linear_model) M mahalanobis() (cuml.covariance.EmpiricalCovariance method) (cuml.covariance.LedoitWolf method) main_effects() (cuml.explainer.KernelExplainer method) (cuml.explainer.PermutationExplainer method) make_blobs() (in module cuml.dask.datasets) (in module cuml.datasets) make_classification() (in module cuml.dask.datasets) (in module cuml.datasets) make_column_selector (class in cuml.compose) make_column_transformer() (in module cuml.compose) make_regression() (in module cuml.dask.datasets) (in module cuml.datasets) maxabs_scale() (in module cuml.preprocessing) MaxAbsScaler (class in cuml.preprocessing) MBSGDClassifier (class in cuml.linear_model) MBSGDRegressor (class in cuml.linear_model) mean_absolute_error() (in module cuml.metrics) mean_squared_error() (in module cuml.metrics) mean_squared_log_error() (in module cuml.metrics) median_absolute_error() (in module cuml.metrics) membership_vector() (in module cuml.cluster.hdbscan) minimum_spanning_tree_ (cuml.cluster.hdbscan.HDBSCAN property) minmax_scale() (in module cuml.preprocessing) MinMaxScaler (class in cuml.preprocessing) MissingIndicator (class in cuml.preprocessing) ML (C++ type) ML::_extract_clusters (C++ function) ML::approx_knn_build_index (C++ function) ML::approx_knn_search (C++ function) ML::brute_force_knn (C++ function) ML::build_condensed_hierarchy (C++ function) ML::build_treelite_forest (C++ function) ML::build_treelite_isolation_forest (C++ function) ML::CD (C++ type) ML::CD::opg (C++ type) ML::CD::opg::fit (C++ function), [1] ML::CD::opg::predict (C++ function), [1] ML::check_csr (C++ function) ML::checked_add (C++ function) ML::checked_div (C++ function) ML::checked_mul (C++ function) ML::checked_sub (C++ function) ML::col_ref (C++ function) ML::col_slice (C++ function) ML::CompactIFForest (C++ struct) ML::CompactIFForest::nodes (C++ member) ML::CompactIFForest::tree_max_depth (C++ member) ML::CompactIFForest::tree_n_nodes (C++ member) ML::CompactIFForest::tree_offsets (C++ member) ML::compute_all_points_membership_vectors (C++ function) ML::compute_c_normalization (C++ function) ML::compute_feature_importances (C++ function) ML::compute_membership_vector (C++ function) ML::CRITERION (C++ enum) ML::CRITERION::CRITERION_END (C++ enumerator) ML::CRITERION::ENTROPY (C++ enumerator) ML::CRITERION::GAMMA (C++ enumerator) ML::CRITERION::GINI (C++ enumerator) ML::CRITERION::INVERSE_GAUSSIAN (C++ enumerator) ML::CRITERION::MAE (C++ enumerator) ML::CRITERION::MSE (C++ enumerator) ML::CRITERION::POISSON (C++ enumerator) ML::cuda_launch_t (C++ type) ML::Datasets (C++ type) ML::Datasets::make_regression (C++ function), [1], [2], [3] ML::Dbscan (C++ type) ML::Dbscan::AdjGraph (C++ type) ML::Dbscan::AdjGraph::Pack (C++ struct) ML::Dbscan::AdjGraph::Pack::adj (C++ member) ML::Dbscan::AdjGraph::Pack::adj_graph (C++ member) ML::Dbscan::AdjGraph::Pack::ex_scan (C++ member) ML::Dbscan::AdjGraph::Pack::N (C++ member) ML::Dbscan::AdjGraph::Pack::vd (C++ member) ML::Dbscan::EpsNnMethod (C++ enum) ML::Dbscan::EpsNnMethod::BRUTE_FORCE (C++ enumerator) ML::Dbscan::EpsNnMethod::RBC (C++ enumerator) ML::Dbscan::VertexDeg (C++ type) ML::Dbscan::VertexDeg::Pack (C++ struct) ML::Dbscan::VertexDeg::Pack::adj (C++ member) ML::Dbscan::VertexDeg::Pack::D (C++ member) ML::Dbscan::VertexDeg::Pack::eps (C++ member) ML::Dbscan::VertexDeg::Pack::ia (C++ member) ML::Dbscan::VertexDeg::Pack::max_k (C++ member) ML::Dbscan::VertexDeg::Pack::N (C++ member) ML::Dbscan::VertexDeg::Pack::rbc_index (C++ member) ML::Dbscan::VertexDeg::Pack::resetArray (C++ function) ML::Dbscan::VertexDeg::Pack::sample_weight (C++ member) ML::Dbscan::VertexDeg::Pack::vd (C++ member) ML::Dbscan::VertexDeg::Pack::weight_sum (C++ member) ML::Dbscan::VertexDeg::Pack::x (C++ member) ML::default_logger (C++ function) ML::default_pattern (C++ function) ML::default_sink (C++ function) ML::detail (C++ type) ML::detail::checked_add_pair (C++ function) ML::detail::checked_mul_pair (C++ function) ML::detail::cuml_rf_allreduce_oob_stats (C++ function) ML::detail::cuml_rf_allreduce_validation_status (C++ function) ML::detail::widen_or_fail (C++ function) ML::distance (C++ type) ML::distance::DistanceType (C++ enum) ML::distance::DistanceType::BitwiseHamming (C++ enumerator) ML::distance::DistanceType::BrayCurtis (C++ enumerator) ML::distance::DistanceType::Canberra (C++ enumerator) ML::distance::DistanceType::CorrelationExpanded (C++ enumerator) ML::distance::DistanceType::CosineExpanded (C++ enumerator) ML::distance::DistanceType::DiceExpanded (C++ enumerator) ML::distance::DistanceType::HammingUnexpanded (C++ enumerator) ML::distance::DistanceType::Haversine (C++ enumerator) ML::distance::DistanceType::HellingerExpanded (C++ enumerator) ML::distance::DistanceType::InnerProduct (C++ enumerator) ML::distance::DistanceType::JaccardExpanded (C++ enumerator) ML::distance::DistanceType::JensenShannon (C++ enumerator) ML::distance::DistanceType::KLDivergence (C++ enumerator) ML::distance::DistanceType::L1 (C++ enumerator) ML::distance::DistanceType::L2Expanded (C++ enumerator) ML::distance::DistanceType::L2SqrtExpanded (C++ enumerator) ML::distance::DistanceType::L2SqrtUnexpanded (C++ enumerator) ML::distance::DistanceType::L2Unexpanded (C++ enumerator) ML::distance::DistanceType::Linf (C++ enumerator) ML::distance::DistanceType::LpUnexpanded (C++ enumerator) ML::distance::DistanceType::Precomputed (C++ enumerator) ML::distance::DistanceType::RusselRaoExpanded (C++ enumerator) ML::dot (C++ function) ML::DT (C++ type) ML::DT::Dataset (C++ struct) ML::DT::Dataset::col_stride (C++ member) ML::DT::Dataset::data (C++ member) ML::DT::Dataset::labels (C++ member) ML::DT::Dataset::n_cols (C++ member) ML::DT::Dataset::n_rows (C++ member) ML::DT::Dataset::n_sampled_cols (C++ member) ML::DT::Dataset::n_sampled_rows (C++ member) ML::DT::Dataset::num_outputs (C++ member) ML::DT::Dataset::row_ids (C++ member) ML::DT::Dataset::row_stride (C++ member) ML::DT::Dataset::sample_weight (C++ member) ML::DT::DecisionTreeParams (C++ struct) ML::DT::DecisionTreeParams::max_batch_size (C++ member) ML::DT::DecisionTreeParams::max_depth (C++ member) ML::DT::DecisionTreeParams::max_features (C++ member) ML::DT::DecisionTreeParams::max_leaves (C++ member) ML::DT::DecisionTreeParams::max_n_bins (C++ member) ML::DT::DecisionTreeParams::min_impurity_decrease (C++ member) ML::DT::DecisionTreeParams::min_samples_leaf (C++ member) ML::DT::DecisionTreeParams::min_samples_split (C++ member) ML::DT::DecisionTreeParams::split_criterion (C++ member) ML::DT::get_tree_json (C++ function) ML::DT::get_tree_summary_text (C++ function) ML::DT::get_tree_text (C++ function) ML::DT::Quantiles (C++ struct) ML::DT::Quantiles::n_bins_array (C++ member) ML::DT::Quantiles::quantiles_array (C++ member) ML::DT::set_tree_params (C++ function) ML::DT::TreeClassifierD (C++ type) ML::DT::TreeClassifierF (C++ type) ML::DT::TreeMetaDataNode (C++ struct) ML::DT::TreeRegressorD (C++ type) ML::DT::TreeRegressorF (C++ type) ML::Explainer (C++ type) ML::Explainer::extract_path_info (C++ function) ML::Explainer::FloatPointer (C++ type) ML::Explainer::gpu_treeshap (C++ function) ML::Explainer::gpu_treeshap_interactions (C++ function) ML::Explainer::gpu_treeshap_interventional (C++ function) ML::Explainer::gpu_treeshap_taylor_interactions (C++ function) ML::Explainer::kernel_dataset (C++ function) ML::Explainer::permutation_shap_dataset (C++ function) ML::Explainer::shap_main_effect_dataset (C++ function) ML::Explainer::TreePathHandle (C++ type) ML::Explainer::TreePathInfo (C++ class) ML::Explainer::update_perm_shap_values (C++ function) ML::fit (C++ function), [1], [2], [3], [4], [5] ML::fit_treelite (C++ function), [1], [2] ML::get_compact_trees (C++ function) ML::get_device (C++ function) ML::get_rf_detailed_text (C++ function) ML::get_rf_json (C++ function) ML::GLM (C++ type) ML::GLM::opg (C++ type) ML::GLM::opg::getUniquelabelsMG (C++ function) ML::GLM::opg::postProcessData (C++ function), [1] ML::GLM::opg::preProcessData (C++ function), [1] ML::GLM::opg::qnFit (C++ function) ML::GLM::opg::qnFitSparse (C++ function) ML::GLM::qnDecisionFunction (C++ function) ML::GLM::qnDecisionFunctionSparse (C++ function) ML::GLM::qnFit (C++ function) ML::GLM::qnFitSparse (C++ function) ML::GLM::qnPredict (C++ function) ML::GLM::qnPredictSparse (C++ function) ML::graph_build_params (C++ type) ML::graph_build_params::graph_build_params (C++ struct) ML::graph_build_params::graph_build_params::n_clusters (C++ member) ML::graph_build_params::graph_build_params::overlap_factor (C++ member) ML::graph_build_params::nn_descent_params_umap (C++ struct) ML::hdbscan (C++ function) ML::HDBSCAN (C++ type) ML::HDBSCAN::Common (C++ type) ML::HDBSCAN::Common::CLUSTER_SELECTION_METHOD (C++ enum) ML::HDBSCAN::Common::CLUSTER_SELECTION_METHOD::EOM (C++ enumerator) ML::HDBSCAN::Common::CLUSTER_SELECTION_METHOD::LEAF (C++ enumerator) ML::HDBSCAN::Common::CondensedHierarchy (C++ class) ML::HDBSCAN::Common::CondensedHierarchy::condense (C++ function) ML::HDBSCAN::Common::CondensedHierarchy::CondensedHierarchy (C++ function), [1], [2] ML::HDBSCAN::Common::generate_prediction_data (C++ function) ML::HDBSCAN::Common::GRAPH_BUILD_ALGO (C++ enum) ML::HDBSCAN::Common::GRAPH_BUILD_ALGO::BRUTE_FORCE_KNN (C++ enumerator) ML::HDBSCAN::Common::GRAPH_BUILD_ALGO::NN_DESCENT (C++ enumerator) ML::HDBSCAN::Common::graph_build_params (C++ type) ML::HDBSCAN::Common::graph_build_params::graph_build_params (C++ struct) ML::HDBSCAN::Common::graph_build_params::graph_build_params::n_clusters (C++ member) ML::HDBSCAN::Common::graph_build_params::graph_build_params::overlap_factor (C++ member) ML::HDBSCAN::Common::graph_build_params::nn_descent_params_hdbscan (C++ struct) ML::HDBSCAN::Common::hdbscan_output (C++ class) ML::HDBSCAN::Common::hdbscan_output::set_n_clusters (C++ function) ML::HDBSCAN::Common::HDBSCANParams (C++ class) ML::HDBSCAN::Common::PredictionData (C++ class) ML::HDBSCAN::Common::PredictionData::allocate (C++ function) ML::HDBSCAN::Common::PredictionData::set_n_clusters (C++ function) ML::HDBSCAN::Common::robust_single_linkage_output (C++ class) ML::HDBSCAN::Common::robust_single_linkage_output::robust_single_linkage_output (C++ function) ML::HDBSCAN::Common::robust_single_linkage_output::set_n_clusters (C++ function) ML::HDBSCAN::Common::RobustSingleLinkageParams (C++ class) ML::HDBSCAN::HELPER (C++ type) ML::HDBSCAN::HELPER::compute_core_dists (C++ function) ML::HDBSCAN::HELPER::compute_inverse_label_map (C++ function) ML::IF_params (C++ struct) ML::IF_params::bootstrap (C++ member) ML::IF_params::max_depth (C++ member) ML::IF_params::max_features (C++ member) ML::IF_params::max_samples (C++ member) ML::IF_params::n_estimators (C++ member) ML::IF_params::seed (C++ member) ML::IFNodeCompact (C++ struct) ML::Internals (C++ type) ML::Internals::Callback (C++ class) ML::Internals::GraphBasedDimRedCallback (C++ class) ML::is_device_or_managed_type (C++ function) ML::IsolationForestD (C++ type) ML::IsolationForestF (C++ type) ML::IsolationForestModel (C++ struct) ML::IsolationForestModel::c_normalization (C++ member) ML::IsolationForestModel::global_feature_indices (C++ member) ML::IsolationForestModel::global_nodes (C++ member) ML::IsolationForestModel::global_tree_max_depth (C++ member) ML::IsolationForestModel::global_tree_n_nodes (C++ member) ML::IsolationForestModel::global_tree_offsets (C++ member) ML::IsolationForestModel::max_nodes_per_tree (C++ member) ML::IsolationForestModel::n_features (C++ member) ML::IsolationForestModel::n_features_per_tree (C++ member) ML::IsolationForestModel::n_samples_per_tree (C++ member) ML::IsolationForestModel::params (C++ member) ML::IVFFlatParam (C++ struct) ML::IVFParam (C++ struct) ML::IVFPQParam (C++ struct) ML::KDE (C++ type) ML::KDE::DensityKernelType (C++ enum) ML::KDE::DensityKernelType::Cosine (C++ enumerator) ML::KDE::DensityKernelType::Epanechnikov (C++ enumerator) ML::KDE::DensityKernelType::Exponential (C++ enumerator) ML::KDE::DensityKernelType::Gaussian (C++ enumerator) ML::KDE::DensityKernelType::Linear (C++ enumerator) ML::KDE::DensityKernelType::Tophat (C++ enumerator) ML::KDE::score_samples (C++ function) ML::kmeans (C++ type) ML::kmeans::fit (C++ function), [1], [2], [3], [4], [5] ML::kmeans::KMeansParams (C++ struct) ML::kmeans::predict (C++ function), [1], [2], [3] ML::kmeans::to_cuvs (C++ function) ML::kmeans::transform (C++ function), [1], [2], [3] ML::KNN (C++ type) ML::KNN::opg (C++ type) ML::KNN::opg::knn (C++ function) ML::KNN::opg::knn_classify (C++ function) ML::KNN::opg::knn_regress (C++ function) ML::knn_class_proba (C++ function) ML::knn_classify (C++ function) ML::knn_graph (C++ struct) ML::knn_indices_dense_t (C++ type) ML::knn_indices_sparse_t (C++ type) ML::knn_regress (C++ function), [1] ML::knnIndex (C++ struct) ML::knnIndexParam (C++ struct) ML::linkage (C++ type) ML::linkage::single_linkage (C++ function) ML::loss_funct (C++ enum) ML::loss_funct::HINGE (C++ enumerator) ML::loss_funct::LOG (C++ enumerator) ML::loss_funct::SQRD_LOSS (C++ enumerator) ML::lr_type (C++ enum) ML::lr_type::ADAPTIVE (C++ enumerator) ML::lr_type::CONSTANT (C++ enumerator) ML::lr_type::INVSCALING (C++ enumerator) ML::lr_type::OPTIMAL (C++ enumerator) ML::manifold_dense_inputs_t (C++ struct) ML::manifold_inputs_t (C++ struct) ML::manifold_precomputed_knn_inputs_t (C++ struct) ML::manifold_sparse_inputs_t (C++ struct) ML::matrix (C++ type) ML::matrix::KernelParams (C++ struct) ML::matrix::KernelType (C++ enum) ML::matrix::KernelType::LINEAR (C++ enumerator) ML::matrix::KernelType::POLYNOMIAL (C++ enumerator) ML::matrix::KernelType::PRECOMPUTED (C++ enumerator) ML::matrix::KernelType::RBF (C++ enumerator) ML::matrix::KernelType::TANH (C++ enumerator) ML::matrix::to_cuvs (C++ function) ML::memory_type (C++ function) ML::Metrics (C++ type) ML::Metrics::accuracy_score_py (C++ function) ML::Metrics::adjusted_rand_index (C++ function), [1] ML::Metrics::Batched (C++ type) ML::Metrics::Batched::silhouette_score (C++ function), [1] ML::Metrics::completeness_score (C++ function) ML::Metrics::entropy (C++ function) ML::Metrics::homogeneity_score (C++ function) ML::Metrics::kl_divergence (C++ function), [1] ML::Metrics::mutual_info_score (C++ function) ML::Metrics::pairwise_distance (C++ function), [1] ML::Metrics::pairwiseDistance_sparse (C++ function), [1] ML::Metrics::r2_score_py (C++ function), [1] ML::Metrics::rand_index (C++ function) ML::Metrics::silhouette_score (C++ function) ML::Metrics::trustworthiness_score (C++ function) ML::Metrics::v_measure (C++ function) ML::mg_solver (C++ type) ML::narrow_cast (C++ function) ML::nrm1 (C++ function) ML::nrm2 (C++ function) ML::nrmMax (C++ function) ML::OLS (C++ type) ML::OLS::opg (C++ type) ML::OLS::opg::fit (C++ function), [1] ML::OLS::opg::predict (C++ function), [1] ML::operator<< (C++ function), [1], [2] ML::out_of_sample_predict (C++ function) ML::params (C++ class) ML::paramsPCA (C++ type) ML::paramsPCAMG (C++ type) ML::paramsPCATemplate (C++ class) ML::paramsSolver (C++ class) ML::paramsTSVD (C++ type) ML::paramsTSVDMG (C++ type) ML::paramsTSVDTemplate (C++ class) ML::PCA (C++ type) ML::PCA::opg (C++ type) ML::PCA::opg::fit (C++ function), [1] ML::PCA::opg::fit_transform (C++ function), [1] ML::PCA::opg::inverse_transform (C++ function), [1] ML::PCA::opg::transform (C++ function), [1] ML::pcaFit (C++ function), [1] ML::pcaFitTransform (C++ function), [1] ML::pcaInverseTransform (C++ function), [1] ML::pcaTransform (C++ function), [1] ML::penalty (C++ enum) ML::penalty::ELASTICNET (C++ enumerator) ML::penalty::L1 (C++ enumerator) ML::penalty::L2 (C++ enumerator) ML::penalty::NONE (C++ enumerator) ML::pinned_host_vector (C++ class) ML::POP_RANGE (C++ function), [1] ML::predict (C++ function), [1] ML::PUSH_RANGE (C++ function), [1] ML::RandomForestClassifierD (C++ type) ML::RandomForestClassifierF (C++ type) ML::RandomForestMetaData (C++ struct) ML::RandomForestMetaData::n_features (C++ member) ML::RandomForestRegressorD (C++ type) ML::RandomForestRegressorF (C++ type) ML::rbc_build_index (C++ function) ML::rbc_free_index (C++ function) ML::rbc_knn_query (C++ function) ML::rbc_radius_neighbors_graph (C++ function) ML::RF_params (C++ struct) ML::RF_params::bootstrap (C++ member) ML::RF_params::max_samples (C++ member) ML::RF_params::n_streams (C++ member) ML::RF_params::n_trees (C++ member) ML::RF_params::seed (C++ member) ML::Ridge (C++ type) ML::Ridge::opg (C++ type) ML::Ridge::opg::fit (C++ function), [1] ML::Ridge::opg::predict (C++ function), [1] ML::score_samples (C++ function), [1] ML::set_rf_params (C++ function) ML::SimpleDenseMat (C++ struct) ML::SimpleDenseMat::assign_gemm (C++ function) ML::SimpleDenseMat::gemmb (C++ function) ML::SimpleMat (C++ struct) ML::SimpleMat::gemmb (C++ function) ML::SimpleMatOwning (C++ struct) ML::SimpleSparseMat (C++ struct) ML::SimpleSparseMat::gemmb (C++ function) ML::SimpleVec (C++ struct) ML::SimpleVecOwning (C++ struct) ML::Solver (C++ type) ML::solver (C++ type) ML::Solver::calLearningRate (C++ function) ML::Solver::calOptimalInit (C++ function) ML::Solver::cdFit (C++ function), [1] ML::Solver::cdPredict (C++ function), [1] ML::Solver::initShuffle (C++ function) ML::Solver::invScaling (C++ function) ML::Solver::Lars (C++ type) ML::Solver::Lars::larsFit (C++ function) ML::Solver::Lars::larsPredict (C++ function) ML::Solver::max (C++ function) ML::Solver::optimal (C++ function) ML::Solver::regDLoss (C++ function) ML::Solver::sgdFit (C++ function), [1] ML::Solver::sgdPredict (C++ function), [1] ML::Solver::sgdPredictBinaryClass (C++ function), [1] ML::Solver::shuffle (C++ function) ML::Sparse (C++ type) ML::Sparse::brute_force_knn (C++ function) ML::Sparse::DEFAULT_BATCH_SIZE (C++ member) ML::SpectralClustering (C++ type) ML::SpectralClustering::fit_predict (C++ function), [1], [2] ML::SpectralClustering::params (C++ struct) ML::SpectralClustering::params::eigen_tol (C++ member) ML::SpectralClustering::params::n_clusters (C++ member) ML::SpectralClustering::params::n_components (C++ member) ML::SpectralClustering::params::n_init (C++ member) ML::SpectralClustering::params::n_neighbors (C++ member) ML::SpectralClustering::params::seed (C++ member) ML::SpectralEmbedding (C++ type) ML::SpectralEmbedding::params (C++ struct) ML::SpectralEmbedding::params::drop_first (C++ member) ML::SpectralEmbedding::params::n_components (C++ member) ML::SpectralEmbedding::params::n_neighbors (C++ member) ML::SpectralEmbedding::params::norm_laplacian (C++ member) ML::SpectralEmbedding::params::seed (C++ member) ML::SpectralEmbedding::to_cuvs (C++ function) ML::SpectralEmbedding::transform (C++ function), [1], [2] ML::squaredNorm (C++ function) ML::STORAGE_ORDER (C++ enum) ML::STORAGE_ORDER::COL_MAJOR (C++ enumerator) ML::STORAGE_ORDER::ROW_MAJOR (C++ enumerator) ML::SVM (C++ type) ML::SVM::linear (C++ type) ML::SVM::linear::fit (C++ function) ML::SVM::linear::Params (C++ struct) ML::SVM::linear::Params::C (C++ member) ML::SVM::linear::Params::change_tol (C++ member) ML::SVM::linear::Params::epsilon (C++ member) ML::SVM::linear::Params::fit_intercept (C++ member) ML::SVM::linear::Params::grad_tol (C++ member) ML::SVM::linear::Params::lbfgs_memory (C++ member) ML::SVM::linear::Params::linesearch_max_iter (C++ member) ML::SVM::linear::Params::Loss (C++ enum) ML::SVM::linear::Params::loss (C++ member) ML::SVM::linear::Params::Loss::EPSILON_INSENSITIVE (C++ enumerator) ML::SVM::linear::Params::Loss::HINGE (C++ enumerator) ML::SVM::linear::Params::Loss::SQUARED_EPSILON_INSENSITIVE (C++ enumerator) ML::SVM::linear::Params::Loss::SQUARED_HINGE (C++ enumerator) ML::SVM::linear::Params::max_iter (C++ member) ML::SVM::linear::Params::penalized_intercept (C++ member) ML::SVM::linear::Params::Penalty (C++ enum) ML::SVM::linear::Params::penalty (C++ member) ML::SVM::linear::Params::Penalty::L1 (C++ enumerator) ML::SVM::linear::Params::Penalty::L2 (C++ enumerator) ML::SVM::linear::Params::verbose (C++ member) ML::SVM::SmoSolver (C++ class) ML::SVM::SmoSolver::Initialize (C++ function) ML::SVM::SmoSolver::Solve (C++ function) ML::SVM::SmoSolver::SvcInit (C++ function) ML::SVM::SmoSolver::SvrInit (C++ function) ML::SVM::SmoSolver::UpdateF (C++ function) ML::SVM::SupportStorage (C++ struct) ML::SVM::SVC (C++ class) ML::SVM::SVC::decisionFunction (C++ function) ML::SVM::SVC::fit (C++ function) ML::SVM::SVC::predict (C++ function) ML::SVM::SVC::SVC (C++ function) ML::SVM::svcFit (C++ function) ML::SVM::svcFitSparse (C++ function) ML::SVM::svcPredict (C++ function) ML::SVM::svcPredictSparse (C++ function) ML::SVM::svmFreeBuffers (C++ function) ML::SVM::SvmModel (C++ struct) ML::SVM::SvmModel::b (C++ member) ML::SVM::SvmModel::dual_coefs (C++ member) ML::SVM::SvmModel::n_classes (C++ member) ML::SVM::SvmModel::n_cols (C++ member) ML::SVM::SvmModel::n_support (C++ member) ML::SVM::SvmModel::support_idx (C++ member) ML::SVM::SvmModel::support_matrix (C++ member) ML::SVM::SvmModel::unique_labels (C++ member) ML::SVM::SvmParameter (C++ struct) ML::SVM::SvmParameter::C (C++ member) ML::SVM::SvmParameter::cache_size (C++ member) ML::SVM::SvmParameter::epsilon (C++ member) ML::SVM::SvmParameter::tol (C++ member) ML::SVM::SvmParameter::verbosity (C++ member) ML::SVM::SvmType (C++ enum) ML::SVM::SvmType::C_SVC (C++ enumerator) ML::SVM::SvmType::EPSILON_SVR (C++ enumerator) ML::SVM::SvmType::NU_SVC (C++ enumerator) ML::SVM::SvmType::NU_SVR (C++ enumerator) ML::SVM::svrFit (C++ function) ML::SVM::svrFitSparse (C++ function) ML::SVM::WorkingSet (C++ class) ML::SVM::WorkingSet::FIFO_strategy (C++ member) ML::SVM::WorkingSet::GetIndices (C++ function) ML::SVM::WorkingSet::GetSize (C++ function) ML::SVM::WorkingSet::PrioritySelect (C++ function) ML::SVM::WorkingSet::Select (C++ function) ML::SVM::WorkingSet::SetSize (C++ function) ML::SVM::WorkingSet::SimpleSelect (C++ function) ML::SVM::WorkingSet::WorkingSet (C++ function) ML::to_raft_params (C++ function), [1] ML::TSNE_ALGORITHM (C++ enum) ML::TSNE_ALGORITHM::BARNES_HUT (C++ enumerator) ML::TSNE_ALGORITHM::EXACT (C++ enumerator) ML::TSNE_ALGORITHM::FFT (C++ enumerator) ML::TSNE_fit (C++ function) ML::TSNE_fit_sparse (C++ function) ML::TSNE_INIT (C++ enum) ML::TSNE_INIT::RANDOM (C++ enumerator) ML::TSNEParams (C++ struct) ML::TSVD (C++ type) ML::TSVD::opg (C++ type) ML::TSVD::opg::fit (C++ function), [1] ML::TSVD::opg::fit_transform (C++ function), [1] ML::TSVD::opg::inverse_transform (C++ function), [1] ML::TSVD::opg::transform (C++ function), [1] ML::tsvdFit (C++ function), [1] ML::tsvdFitTransform (C++ function), [1] ML::tsvdInverseTransform (C++ function), [1] ML::tsvdTransform (C++ function), [1] ML::UMAP (C++ type) ML::UMAP::find_ab (C++ function) ML::UMAP::fit (C++ function) ML::UMAP::fit_sparse (C++ function) ML::UMAP::get_graph (C++ function) ML::UMAP::init_and_refine (C++ function) ML::UMAP::inverse_transform (C++ function) ML::UMAP::refine (C++ function) ML::UMAP::transform (C++ function) ML::UMAP::transform_sparse (C++ function) ML::UMAPParams (C++ class) ML::UMAPParams::a (C++ member) ML::UMAPParams::b (C++ member) ML::UMAPParams::build_algo (C++ member) ML::UMAPParams::deterministic (C++ member) ML::UMAPParams::force_serial_epochs (C++ member) ML::UMAPParams::init (C++ member) ML::UMAPParams::initial_alpha (C++ member) ML::UMAPParams::learning_rate (C++ member) ML::UMAPParams::local_connectivity (C++ member) ML::UMAPParams::min_dist (C++ member) ML::UMAPParams::n_components (C++ member) ML::UMAPParams::n_epochs (C++ member) ML::UMAPParams::n_neighbors (C++ member) ML::UMAPParams::negative_sample_rate (C++ member) ML::UMAPParams::repulsion_strength (C++ member) ML::UMAPParams::set_op_mix_ratio (C++ member) ML::UMAPParams::spread (C++ member) ML::UMAPParams::target_n_neighbors (C++ member) ML::UMAPParams::transform_queue_size (C++ member) ML::UMAPParams::verbosity (C++ member) MLCommon (C++ type) MLCommon::Datasets (C++ type) MLCommon::Datasets::Boston (C++ type) MLCommon::Datasets::Boston::boston (C++ member) MLCommon::Datasets::Boston::n_features (C++ member) MLCommon::Datasets::Boston::n_samples (C++ member) MLCommon::Datasets::BreastCancer (C++ type) MLCommon::Datasets::BreastCancer::breast_cancer (C++ member) MLCommon::Datasets::BreastCancer::n_features (C++ member) MLCommon::Datasets::BreastCancer::n_samples (C++ member) MLCommon::Datasets::Diabetes (C++ type) MLCommon::Datasets::Diabetes::diabetes (C++ member) MLCommon::Datasets::Diabetes::n_features (C++ member) MLCommon::Datasets::Diabetes::n_samples (C++ member) MLCommon::Datasets::Digits (C++ type) MLCommon::Datasets::Digits::COL_vector (C++ member) MLCommon::Datasets::Digits::digits (C++ member) MLCommon::Datasets::Digits::distances (C++ member) MLCommon::Datasets::Digits::indices (C++ member) MLCommon::Datasets::Digits::n_features (C++ member) MLCommon::Datasets::Digits::n_samples (C++ member) MLCommon::Datasets::Digits::ROW_vector (C++ member) MLCommon::Datasets::Digits::VAL_vector (C++ member) MLCommon::Datasets::Digits::Y (C++ member) MLCommon::LinAlg (C++ type) MLCommon::LinAlg::opg (C++ type) MLCommon::LinAlg::opg::colNorm2 (C++ function), [1] MLCommon::LinAlg::opg::colNorm2NoSeq (C++ function), [1] MLCommon::LinAlg::opg::eigDC (C++ function), [1] MLCommon::LinAlg::opg::eigJacobi (C++ function), [1] MLCommon::LinAlg::opg::gemm (C++ function), [1] MLCommon::LinAlg::opg::lstsqEig (C++ function), [1] MLCommon::LinAlg::opg::meanSquaredError (C++ function), [1] MLCommon::LinAlg::opg::mm_aTa (C++ function), [1] MLCommon::LinAlg::opg::mv_aTb (C++ function), [1] MLCommon::LinAlg::opg::svdEig (C++ function), [1] MLCommon::Matrix (C++ type) MLCommon::Matrix::Data (C++ struct) MLCommon::Matrix::Data::numElements (C++ function) MLCommon::Matrix::Data::ptr (C++ member) MLCommon::Matrix::Data::totalSize (C++ member) MLCommon::Matrix::doubleData_t (C++ type) MLCommon::Matrix::floatData_t (C++ type) MLCommon::Matrix::Layout (C++ enum) MLCommon::Matrix::Layout::LayoutColMajor (C++ enumerator) MLCommon::Matrix::Layout::LayoutRowMajor (C++ enumerator) MLCommon::Matrix::operator<< (C++ function) MLCommon::Matrix::operator== (C++ function) MLCommon::Matrix::opg (C++ type) MLCommon::Matrix::opg::allGather (C++ function), [1] MLCommon::Matrix::opg::allGatherPart (C++ function), [1] MLCommon::Matrix::opg::allocate (C++ function), [1] MLCommon::Matrix::opg::deallocate (C++ function), [1] MLCommon::Matrix::opg::gather (C++ function), [1] MLCommon::Matrix::opg::gatherPart (C++ function), [1] MLCommon::Matrix::opg::matrixVectorBinaryDivSkipZero (C++ function), [1] MLCommon::Matrix::opg::matrixVectorBinaryMult (C++ function), [1] MLCommon::Matrix::opg::print (C++ function), [1] MLCommon::Matrix::opg::printRaw2D (C++ function), [1] MLCommon::Matrix::opg::randomize (C++ function), [1] MLCommon::Matrix::opg::reset (C++ function), [1] MLCommon::Matrix::PartDescriptor (C++ struct) MLCommon::Matrix::PartDescriptor::blocksOwnedBy (C++ function) MLCommon::Matrix::PartDescriptor::M (C++ member) MLCommon::Matrix::PartDescriptor::N (C++ member) MLCommon::Matrix::PartDescriptor::operator<< (C++ function) MLCommon::Matrix::PartDescriptor::operator== (C++ function) MLCommon::Matrix::PartDescriptor::PartDescriptor (C++ function) MLCommon::Matrix::PartDescriptor::partsToRanks (C++ member) MLCommon::Matrix::PartDescriptor::totalBlocks (C++ function) MLCommon::Matrix::PartDescriptor::totalBlocksOwnedBy (C++ function) MLCommon::Matrix::PartDescriptor::totalElementsOwnedBy (C++ function) MLCommon::Matrix::RankSizePair (C++ struct) MLCommon::Matrix::RankSizePair::size (C++ member) MLCommon::opg (C++ type) MLCommon::opg::allreduce_single_sum (C++ function) MLCommon::opg::reduce_single_sum (C++ function) MLCommon::Stats (C++ type) MLCommon::Stats::opg (C++ type) MLCommon::Stats::opg::cov (C++ function), [1] MLCommon::Stats::opg::mean (C++ function), [1] MLCommon::Stats::opg::mean_add (C++ function), [1] MLCommon::Stats::opg::mean_center (C++ function), [1] MLCommon::Stats::opg::var (C++ function), [1] MLCommon::TimerCPU (C++ class) module cuml cuml.accel cuml.cluster cuml.compose cuml.covariance cuml.dask cuml.datasets cuml.decomposition cuml.ensemble cuml.explainer cuml.feature_extraction cuml.kernel_ridge cuml.linear_model cuml.manifold cuml.metrics cuml.model_selection cuml.multiclass cuml.naive_bayes cuml.neighbors cuml.preprocessing cuml.random_projection cuml.solvers cuml.svm MultinomialNB (class in cuml.dask.naive_bayes) (class in cuml.naive_bayes) mutual_info_score() (in module cuml.metrics.cluster) N named_transformers_ (cuml.compose.ColumnTransformer property) nan_euclidean_distances() (in module cuml.metrics) NearestNeighbors (class in cuml.dask.neighbors) (class in cuml.neighbors) normalize() (in module cuml.preprocessing) Normalizer (class in cuml.preprocessing) O OneHotEncoder (class in cuml.dask.preprocessing) (class in cuml.preprocessing) OneVsOneClassifier (class in cuml.multiclass) OneVsRestClassifier (class in cuml.multiclass) OrdinalEncoder (class in cuml.preprocessing) outputs_2d_ (cuml.neighbors.KNeighborsClassifier property) P pairwise_distances() (in module cuml.metrics) pairwise_kernels() (in module cuml.metrics) partial_fit() (cuml.decomposition.IncrementalPCA method) (cuml.feature_extraction.text.HashingVectorizer method) (cuml.naive_bayes.BernoulliNB method) (cuml.naive_bayes.CategoricalNB method) (cuml.naive_bayes.ComplementNB method) (cuml.naive_bayes.GaussianNB method) (cuml.naive_bayes.MultinomialNB method) (cuml.preprocessing.MaxAbsScaler method) (cuml.preprocessing.MinMaxScaler method) (cuml.preprocessing.StandardScaler method) PCA (class in cuml.dask.decomposition) (class in cuml.decomposition) PermutationExplainer (class in cuml.explainer) PolynomialFeatures (class in cuml.preprocessing) PowerTransformer (class in cuml.preprocessing) precision_recall_curve() (in module cuml.metrics) predict() (cuml.cluster.KMeans method) (cuml.dask.cluster.KMeans method) (cuml.dask.ensemble.RandomForestClassifier method) (cuml.dask.ensemble.RandomForestRegressor method) (cuml.dask.linear_model.ElasticNet method) (cuml.dask.linear_model.Lasso method) (cuml.dask.linear_model.LinearRegression method) (cuml.dask.linear_model.Ridge method) (cuml.dask.naive_bayes.MultinomialNB method) (cuml.dask.neighbors.KNeighborsClassifier method) (cuml.dask.neighbors.KNeighborsRegressor method) (cuml.dask.solvers.CD method) (cuml.ensemble.IsolationForest method) (cuml.ensemble.RandomForestClassifier method) (cuml.ensemble.RandomForestRegressor method) (cuml.kernel_ridge.KernelRidge method) (cuml.linear_model.ElasticNet method) (cuml.linear_model.Lars method) (cuml.linear_model.Lasso method) (cuml.linear_model.LinearRegression method) (cuml.linear_model.LogisticRegression method) (cuml.linear_model.MBSGDClassifier method) (cuml.linear_model.MBSGDRegressor method) (cuml.linear_model.Ridge method) (cuml.multiclass.OneVsOneClassifier method) (cuml.multiclass.OneVsRestClassifier method) (cuml.naive_bayes.BernoulliNB method) (cuml.naive_bayes.CategoricalNB method) (cuml.naive_bayes.ComplementNB method) (cuml.naive_bayes.GaussianNB method) (cuml.naive_bayes.MultinomialNB method) (cuml.neighbors.KNeighborsClassifier method) (cuml.neighbors.KNeighborsRegressor method) (cuml.neighbors.LocalOutlierFactor method) (cuml.solvers.CD method) (cuml.solvers.QN method) (cuml.solvers.SGD method) (cuml.svm.LinearSVC method) (cuml.svm.LinearSVR method) (cuml.svm.SVC method) (cuml.svm.SVR method) predict_log_proba() (cuml.ensemble.RandomForestClassifier method) (cuml.linear_model.LogisticRegression method) (cuml.naive_bayes.BernoulliNB method) (cuml.naive_bayes.CategoricalNB method) (cuml.naive_bayes.ComplementNB method) (cuml.naive_bayes.GaussianNB method) (cuml.naive_bayes.MultinomialNB method) predict_proba() (cuml.dask.ensemble.RandomForestClassifier method) (cuml.dask.neighbors.KNeighborsClassifier method) (cuml.ensemble.RandomForestClassifier method) (cuml.linear_model.LogisticRegression method) (cuml.naive_bayes.BernoulliNB method) (cuml.naive_bayes.CategoricalNB method) (cuml.naive_bayes.ComplementNB method) (cuml.naive_bayes.GaussianNB method) (cuml.naive_bayes.MultinomialNB method) (cuml.neighbors.KNeighborsClassifier method) prediction_data_ (cuml.cluster.hdbscan.HDBSCAN property) profile() (in module cuml.accel) Q QN (class in cuml.solvers) QuantileTransformer (class in cuml.preprocessing) R r2_score() (in module cuml.metrics) radius_neighbors_graph() (cuml.neighbors.NearestNeighbors method) RandomForestClassifier (class in cuml.dask.ensemble) (class in cuml.ensemble) RandomForestRegressor (class in cuml.dask.ensemble) (class in cuml.ensemble) Ridge (class in cuml.dask.linear_model) (class in cuml.linear_model) robust_scale() (in module cuml.preprocessing) RobustScaler (class in cuml.preprocessing) roc_auc_score() (in module cuml.metrics) S sample() (cuml.neighbors.KernelDensity method) scale() (in module cuml.preprocessing) score() (cuml.cluster.KMeans method) (cuml.covariance.EmpiricalCovariance method) (cuml.covariance.LedoitWolf method) (cuml.dask.cluster.KMeans method) (cuml.dask.naive_bayes.MultinomialNB method) (cuml.dask.neighbors.KNeighborsClassifier method) (cuml.dask.neighbors.KNeighborsRegressor method) (cuml.ensemble.RandomForestClassifier method) (cuml.ensemble.RandomForestRegressor method) (cuml.kernel_ridge.KernelRidge method) (cuml.linear_model.ElasticNet method) (cuml.linear_model.Lars method) (cuml.linear_model.Lasso method) (cuml.linear_model.LinearRegression method) (cuml.linear_model.LogisticRegression method) (cuml.linear_model.MBSGDClassifier method) (cuml.linear_model.MBSGDRegressor method) (cuml.linear_model.Ridge method) (cuml.multiclass.OneVsOneClassifier method) (cuml.multiclass.OneVsRestClassifier method) (cuml.naive_bayes.BernoulliNB method) (cuml.naive_bayes.CategoricalNB method) (cuml.naive_bayes.ComplementNB method) (cuml.naive_bayes.GaussianNB method) (cuml.naive_bayes.MultinomialNB method) (cuml.neighbors.KernelDensity method) (cuml.neighbors.KNeighborsClassifier method) (cuml.neighbors.KNeighborsRegressor method) (cuml.solvers.QN method) (cuml.svm.LinearSVC method) (cuml.svm.LinearSVR method) (cuml.svm.SVC method) (cuml.svm.SVR method) score_samples() (cuml.ensemble.IsolationForest method) (cuml.neighbors.KernelDensity method) (cuml.neighbors.LocalOutlierFactor method) set_global_output_type() (in module cuml) set_params() (cuml.cluster.AgglomerativeClustering method) (cuml.cluster.DBSCAN method) (cuml.cluster.hdbscan.HDBSCAN method) (cuml.cluster.KMeans method) (cuml.cluster.SpectralClustering method) (cuml.compose.ColumnTransformer method) (cuml.covariance.EmpiricalCovariance method) (cuml.covariance.LedoitWolf method) (cuml.dask.ensemble.RandomForestClassifier method) (cuml.dask.ensemble.RandomForestRegressor method) (cuml.decomposition.IncrementalPCA method) (cuml.decomposition.PCA method) (cuml.decomposition.TruncatedSVD method) (cuml.ensemble.IsolationForest method) (cuml.ensemble.RandomForestClassifier method) (cuml.ensemble.RandomForestRegressor method) (cuml.feature_extraction.text.CountVectorizer method) (cuml.feature_extraction.text.HashingVectorizer method) (cuml.feature_extraction.text.TfidfTransformer method) (cuml.feature_extraction.text.TfidfVectorizer method) (cuml.kernel_ridge.KernelRidge method) (cuml.linear_model.ElasticNet method) (cuml.linear_model.Lars method) (cuml.linear_model.Lasso method) (cuml.linear_model.LinearRegression method) (cuml.linear_model.LogisticRegression method) (cuml.linear_model.MBSGDClassifier method) (cuml.linear_model.MBSGDRegressor method) (cuml.linear_model.Ridge method) (cuml.manifold.SpectralEmbedding method) (cuml.manifold.TSNE method) (cuml.manifold.UMAP method) (cuml.multiclass.OneVsOneClassifier method) (cuml.multiclass.OneVsRestClassifier method) (cuml.naive_bayes.BernoulliNB method) (cuml.naive_bayes.CategoricalNB method) (cuml.naive_bayes.ComplementNB method) (cuml.naive_bayes.GaussianNB method) (cuml.naive_bayes.MultinomialNB method) (cuml.neighbors.KernelDensity method) (cuml.neighbors.KNeighborsClassifier method) (cuml.neighbors.KNeighborsRegressor method) (cuml.neighbors.LocalOutlierFactor method) (cuml.neighbors.NearestNeighbors method) (cuml.preprocessing.Binarizer method) (cuml.preprocessing.FunctionTransformer method) (cuml.preprocessing.KBinsDiscretizer method) (cuml.preprocessing.KernelCenterer method) (cuml.preprocessing.LabelBinarizer method) (cuml.preprocessing.LabelEncoder method) (cuml.preprocessing.MaxAbsScaler method) (cuml.preprocessing.MinMaxScaler method) (cuml.preprocessing.MissingIndicator method) (cuml.preprocessing.Normalizer method) (cuml.preprocessing.OneHotEncoder method) (cuml.preprocessing.OrdinalEncoder method) (cuml.preprocessing.PolynomialFeatures method) (cuml.preprocessing.PowerTransformer method) (cuml.preprocessing.QuantileTransformer method) (cuml.preprocessing.RobustScaler method) (cuml.preprocessing.SimpleImputer method) (cuml.preprocessing.StandardScaler method) (cuml.preprocessing.TargetEncoder method) (cuml.random_projection.GaussianRandomProjection method) (cuml.random_projection.SparseRandomProjection method) (cuml.solvers.CD method) (cuml.solvers.QN method) (cuml.solvers.SGD method) (cuml.svm.LinearSVC method) (cuml.svm.LinearSVR method) (cuml.svm.SVC method) (cuml.svm.SVR method) SGD (class in cuml.solvers) shap_interaction_values() (cuml.explainer.TreeExplainer method) shap_values() (cuml.explainer.KernelExplainer method) (cuml.explainer.PermutationExplainer method) (cuml.explainer.TreeExplainer method) silhouette_samples() (in module cuml.metrics.cluster) silhouette_score() (in module cuml.metrics.cluster) SimpleImputer (class in cuml.preprocessing) simplicial_set_embedding() (in module cuml.manifold.umap) single_linkage_tree_ (cuml.cluster.hdbscan.HDBSCAN property) sparse_coef_ (cuml.linear_model.ElasticNet property) (cuml.linear_model.Lasso property) SparseRandomProjection (class in cuml.random_projection) spectral_clustering() (in module cuml.cluster) spectral_embedding() (in module cuml.manifold) SpectralClustering (class in cuml.cluster) SpectralEmbedding (class in cuml.manifold) split() (cuml.model_selection.KFold method) StandardScaler (class in cuml.preprocessing) support_ (cuml.svm.SVC property) SVC (class in cuml.svm) SVR (class in cuml.svm) T TargetEncoder (class in cuml.preprocessing) TfidfTransformer (class in cuml.dask.feature_extraction.text) (class in cuml.feature_extraction.text) TfidfVectorizer (class in cuml.feature_extraction.text) train_test_split() (in module cuml.model_selection) transform() (cuml.cluster.KMeans method) (cuml.compose.ColumnTransformer method) (cuml.dask.cluster.KMeans method) (cuml.dask.decomposition.PCA method) (cuml.dask.decomposition.TruncatedSVD method) (cuml.dask.feature_extraction.text.TfidfTransformer method) (cuml.dask.manifold.UMAP method) (cuml.dask.preprocessing.LabelBinarizer method) (cuml.dask.preprocessing.OneHotEncoder method) (cuml.decomposition.IncrementalPCA method) (cuml.decomposition.PCA method) (cuml.decomposition.TruncatedSVD method) (cuml.feature_extraction.text.CountVectorizer method) (cuml.feature_extraction.text.HashingVectorizer method) (cuml.feature_extraction.text.TfidfTransformer method) (cuml.feature_extraction.text.TfidfVectorizer method) (cuml.manifold.UMAP method) (cuml.preprocessing.Binarizer method) (cuml.preprocessing.FunctionTransformer method) (cuml.preprocessing.KBinsDiscretizer method) (cuml.preprocessing.KernelCenterer method) (cuml.preprocessing.LabelBinarizer method) (cuml.preprocessing.LabelEncoder method) (cuml.preprocessing.MaxAbsScaler method) (cuml.preprocessing.MinMaxScaler method) (cuml.preprocessing.MissingIndicator method) (cuml.preprocessing.Normalizer method) (cuml.preprocessing.OneHotEncoder method) (cuml.preprocessing.OrdinalEncoder method) (cuml.preprocessing.PolynomialFeatures method) (cuml.preprocessing.PowerTransformer method) (cuml.preprocessing.QuantileTransformer method) (cuml.preprocessing.RobustScaler method) (cuml.preprocessing.SimpleImputer method) (cuml.preprocessing.StandardScaler method) (cuml.preprocessing.TargetEncoder method) (cuml.random_projection.GaussianRandomProjection method) (cuml.random_projection.SparseRandomProjection method) TreeExplainer (class in cuml.explainer) TruncatedSVD (class in cuml.dask.decomposition) (class in cuml.decomposition) trustworthiness() (in module cuml.metrics) TSNE (class in cuml.manifold) U UMAP (class in cuml.dask.manifold) (class in cuml.manifold) update_log_probs() (cuml.naive_bayes.BernoulliNB method) (cuml.naive_bayes.CategoricalNB method) (cuml.naive_bayes.ComplementNB method) (cuml.naive_bayes.MultinomialNB method) using_output_type (class in cuml) V v_measure_score() (in module cuml.metrics.cluster)
