- mahalanobis() (cuml.covariance.EmpiricalCovariance method)
- main_effects() (cuml.explainer.KernelExplainer method)
- make_arima() (in module cuml.datasets)
- make_blobs() (in module cuml.dask.datasets)
- make_classification() (in module cuml.dask.datasets)
- make_column_selector (class in cuml.compose)
- make_column_transformer() (in module cuml.compose)
- make_regression() (in module cuml.dask.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::ARIMAMemory (C++ struct)
- ML::ARIMAMemory::ARIMAMemory (C++ function)
- ML::ARIMAMemory::compute_size (C++ function)
- ML::ARIMAOrder (C++ struct)
- ML::ARIMAParams (C++ struct)
- ML::ARIMAParams::allocate (C++ function)
- ML::ARIMAParams::deallocate (C++ function)
- ML::ARIMAParams::pack (C++ function)
- ML::ARIMAParams::unpack (C++ function)
- ML::batched_diff (C++ function)
- ML::batched_jones_transform (C++ function)
- ML::batched_kalman_filter (C++ function)
- ML::batched_loglike (C++ function), [1]
- ML::batched_loglike_grad (C++ function)
- ML::brute_force_knn (C++ function)
- ML::build_condensed_hierarchy (C++ function)
- ML::build_division_map (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_arima (C++ function), [1]
- 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::delete_rf_metadata (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::detect_missing (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::divide_by_mask_build_index (C++ function)
- ML::divide_by_mask_execute (C++ function), [1], [2]
- ML::divide_by_min_build_index (C++ function), [1]
- ML::divide_by_min_execute (C++ function), [1], [2]
- 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::TreeliteType (C++ class)
- ML::DT::TreeliteType<double> (C++ class)
- ML::DT::TreeliteType<float> (C++ class)
- ML::DT::TreeliteType<int> (C++ class)
- ML::DT::TreeliteType<uint32_t> (C++ class)
- ML::DT::TreeMetaDataNode (C++ struct)
- ML::DT::TreeRegressorD (C++ type)
- ML::DT::TreeRegressorF (C++ type)
- ML::estimate_x0 (C++ function)
- 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::get_rf_summary_text (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::HoltWinters (C++ type)
- ML::HoltWinters::buffer_size (C++ function)
- ML::HoltWinters::fit (C++ function), [1]
- ML::HoltWinters::forecast (C++ function), [1]
- 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::information_criterion (C++ function)
- 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::LoglikeMethod (C++ enum)
- ML::LoglikeMethod::CSS (C++ enumerator)
- ML::LoglikeMethod::MLE (C++ enumerator)
- 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::merge_series (C++ function), [1]
- 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::Norm (C++ enum)
- ML::Norm::L0 (C++ enumerator)
- ML::Norm::L1 (C++ enumerator)
- ML::Norm::L2 (C++ enumerator)
- ML::Norm::LINF (C++ enumerator)
- 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::OptimCriterion (C++ enum)
- ML::OptimCriterion::OPTIM_BFGS_ITER_LIMIT (C++ enumerator)
- ML::OptimCriterion::OPTIM_MIN_ERROR_DIFF (C++ enumerator)
- ML::OptimCriterion::OPTIM_MIN_GRAD_NORM (C++ enumerator)
- ML::OptimCriterion::OPTIM_MIN_PARAM_DIFF (C++ enumerator)
- ML::OptimParams (C++ struct)
- ML::out_of_sample_predict (C++ function)
- ML::pack (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::postprocess_labels (C++ function)
- ML::predict (C++ function), [1], [2], [3], [4], [5], [6]
- ML::preprocess_labels (C++ function)
- ML::print (C++ function)
- 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_metrics (C++ struct)
- 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::RF_type (C++ enum)
- ML::RF_type::CLASSIFICATION (C++ enumerator)
- ML::RF_type::REGRESSION (C++ enumerator)
- 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 (C++ function), [1], [2], [3]
- ML::score_samples (C++ function), [1]
- ML::SeasonalType (C++ enum)
- ML::SeasonalType::ADDITIVE (C++ enumerator)
- ML::SeasonalType::MULTIPLICATIVE (C++ enumerator)
- ML::set_all_rf_metrics (C++ function)
- ML::set_rf_metrics_classification (C++ function)
- ML::set_rf_metrics_regression (C++ function)
- 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::Stationarity (C++ type)
- ML::Stationarity::kpss_test (C++ function), [1]
- 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::task_category (C++ enum)
- ML::task_category::CLASSIFICATION_MODEL (C++ enumerator)
- ML::task_category::REGRESSION_MODEL (C++ enumerator)
- 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)
- ML::unpack (C++ function)
- 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
- MultinomialNB (class in cuml.dask.naive_bayes)
- mutual_info_score() (in module cuml.metrics.cluster)
|
