Index A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W | Z A accuracy_coverage_curve() (prosemble.core.reject.RejectOptionMixin method) accuracy_score_jax() (in module prosemble.core.utils) AFCM (class in prosemble.models) apply_curriculum_to_loss() (in module prosemble.core.curriculum) B base_opt_state (prosemble.core.optimizers.HypergradientState attribute) batch_euclidean() (in module prosemble.core.distance) batch_gaussian_kernel() (in module prosemble.core.kernel) batch_squared_euclidean() (in module prosemble.core.distance) belongs() (prosemble.core.manifolds.Grassmannian method) (prosemble.core.manifolds.HyperbolicPoincare method) (prosemble.core.manifolds.SO method) (prosemble.core.manifolds.SPD method) (prosemble.core.protocols.Manifold method) best_estimator_ (prosemble.core.model_selection.GridSearchCV attribute) best_params_ (prosemble.core.model_selection.GridSearchCV attribute) best_score_ (prosemble.core.model_selection.GridSearchCV attribute) BGPC (class in prosemble.models) bmu_map() (prosemble.models.DKHeskesSOM method) (prosemble.models.DKKohonenSOM method) C CallbackLike (class in prosemble.core.protocols) CBC (class in prosemble.models) cbcc() (in module prosemble.core.competitions) CELVQ (class in prosemble.models) CELVQ_NG (class in prosemble.models) centroids_ (prosemble.models.AFCM attribute) (prosemble.models.FCM attribute) (prosemble.models.FPCM attribute) (prosemble.models.HCM attribute) (prosemble.models.IPCM attribute) (prosemble.models.IPCM2 attribute) (prosemble.models.KFCM attribute) (prosemble.models.KMeansPlusPlus attribute) (prosemble.models.KPCM attribute) (prosemble.models.PCM attribute) (prosemble.models.PFCM attribute) class_conditional_mean_init() (in module prosemble.core.initializers) class_priors() (in module prosemble.core.utils) clone() (in module prosemble.core.model_selection) confidence() (prosemble.core.reject.RejectOptionMixin method), [1] confusion_matrix_jax() (in module prosemble.core.utils) cosine_similarity_matrix() (in module prosemble.core.similarities) create_mesh() (in module prosemble.core.distributed) cross_entropy_lvq_loss() (in module prosemble.core.losses) cross_val_score() (in module prosemble.core.model_selection) curriculum_threshold() (in module prosemble.core.curriculum) curriculum_weights() (in module prosemble.core.curriculum) cv_results_ (prosemble.core.model_selection.GridSearchCV attribute) D decision_boundary_point() (in module prosemble.core.geodesic) decision_function() (prosemble.models.OCDKGLVQ method) (prosemble.models.OCDKGLVQ_NG method) (prosemble.models.OCDKGMLVQ method) (prosemble.models.OCDKGMLVQ_NG method) (prosemble.models.OCDKGRLVQ method) (prosemble.models.OCDKGRLVQ_NG method) (prosemble.models.OCGLVQ method) (prosemble.models.OCGLVQ_NG method) (prosemble.models.OCGMLVQ method) (prosemble.models.OCGMLVQ_NG method) (prosemble.models.OCGRLVQ method) (prosemble.models.OCGRLVQ_NG method) (prosemble.models.OCGTLVQ method) (prosemble.models.OCGTLVQ_NG method) (prosemble.models.OCLGMLVQ method) (prosemble.models.OCLGMLVQ_NG method) (prosemble.models.OCLMRSLVQ method) (prosemble.models.OCLMRSLVQ_NG method) (prosemble.models.OCMRSLVQ method) (prosemble.models.OCMRSLVQ_NG method) (prosemble.models.OCRSLVQ method) (prosemble.models.OCRSLVQ_NG method) (prosemble.models.SVQOCC method) (prosemble.models.SVQOCC_LM method) (prosemble.models.SVQOCC_M method) (prosemble.models.SVQOCC_R method) (prosemble.models.SVQOCC_T method) dequantize() (prosemble.core.quantization.QuantizationMixin method) distance() (prosemble.core.manifolds.Grassmannian method) (prosemble.core.manifolds.HyperbolicPoincare method) (prosemble.core.manifolds.SO method) (prosemble.core.manifolds.SPD method) (prosemble.core.protocols.Manifold method) distance_squared() (prosemble.core.manifolds.Grassmannian method) (prosemble.core.manifolds.HyperbolicPoincare method) (prosemble.core.manifolds.SO method) (prosemble.core.manifolds.SPD method) (prosemble.core.protocols.Manifold method) DistanceMatrixFn (in module prosemble.core.protocols) DistancePairwiseFn (in module prosemble.core.protocols) DKGLVQ (class in prosemble.models) DKGLVQ_NG (class in prosemble.models) DKGMLVQ (class in prosemble.models) DKGMLVQ_NG (class in prosemble.models) DKGRLVQ (class in prosemble.models) DKGRLVQ_NG (class in prosemble.models) DKHeskesSOM (class in prosemble.models) DKKohonenSOM (class in prosemble.models) DKNeuralGas (class in prosemble.models) E elastic_net_proximal() (in module prosemble.core.regularization) estimate_sigma() (in module prosemble.core.distance) euclidean_distance() (in module prosemble.core.distance) euclidean_distance_matrix() (in module prosemble.core.distance) euclidean_similarity() (in module prosemble.core.similarities) exp_map() (prosemble.core.manifolds.Grassmannian method) (prosemble.core.manifolds.HyperbolicPoincare method) (prosemble.core.manifolds.SO method) (prosemble.core.manifolds.SPD method) (prosemble.core.protocols.Manifold method) exponential_kernel_distance_squared() (in module prosemble.core.kernel) export_onnx() (in module prosemble.core.onnx_export) F FCM (class in prosemble.models) fill_value_init() (in module prosemble.core.initializers) fit() (prosemble.core.model_selection.GridSearchCV method) (prosemble.core.pipeline.MinMaxScaler method) (prosemble.core.pipeline.PCA method) (prosemble.core.pipeline.Pipeline method) (prosemble.core.pipeline.StandardScaler method) (prosemble.models.AFCM method) (prosemble.models.BGPC method) (prosemble.models.CBC method) (prosemble.models.CELVQ method) (prosemble.models.CELVQ_NG method) (prosemble.models.DKGLVQ method) (prosemble.models.DKGLVQ_NG method) (prosemble.models.DKGMLVQ method) (prosemble.models.DKGMLVQ_NG method) (prosemble.models.DKGRLVQ method) (prosemble.models.DKGRLVQ_NG method) (prosemble.models.DKHeskesSOM method) (prosemble.models.DKKohonenSOM method) (prosemble.models.DKNeuralGas method) (prosemble.models.FCM method) (prosemble.models.FPCM method) (prosemble.models.GLVQ method) (prosemble.models.GLVQ1 method) (prosemble.models.GLVQ21 method) (prosemble.models.GMLVQ method) (prosemble.models.GRLVQ method) (prosemble.models.GrowingNeuralGas method) (prosemble.models.GTLVQ method) (prosemble.models.HCM method) (prosemble.models.HeskesSOM method) (prosemble.models.ImageCBC method) (prosemble.models.ImageGLVQ method) (prosemble.models.ImageGMLVQ method) (prosemble.models.ImageGTLVQ method) (prosemble.models.IPCM method) (prosemble.models.IPCM2 method) (prosemble.models.KAFCM method) (prosemble.models.KFCM method) (prosemble.models.KFPCM method) (prosemble.models.KIPCM method) (prosemble.models.KIPCM2 method) (prosemble.models.KMeansPlusPlus method) (prosemble.models.KNN method) (prosemble.models.KohonenSOM method) (prosemble.models.KPCM method) (prosemble.models.KPFCM method) (prosemble.models.LCELVQ_NG method) (prosemble.models.LGMLVQ method) (prosemble.models.LMRSLVQ method) (prosemble.models.LMRSLVQ_NG method) (prosemble.models.LVQ1 method) (prosemble.models.LVQ21 method) (prosemble.models.LVQMLN method) (prosemble.models.MCELVQ_NG method) (prosemble.models.MedianLVQ method) (prosemble.models.MRSLVQ method) (prosemble.models.MRSLVQ_NG method) (prosemble.models.NeuralGas method) (prosemble.models.NPC method) (prosemble.models.OCDKGLVQ method) (prosemble.models.OCDKGLVQ_NG method) (prosemble.models.OCDKGMLVQ method) (prosemble.models.OCDKGMLVQ_NG method) (prosemble.models.OCDKGRLVQ method) (prosemble.models.OCDKGRLVQ_NG method) (prosemble.models.OCGLVQ method) (prosemble.models.OCGLVQ_NG method) (prosemble.models.OCGMLVQ method) (prosemble.models.OCGMLVQ_NG method) (prosemble.models.OCGRLVQ method) (prosemble.models.OCGRLVQ_NG method) (prosemble.models.OCGTLVQ method) (prosemble.models.OCGTLVQ_NG method) (prosemble.models.OCLGMLVQ method) (prosemble.models.OCLGMLVQ_NG method) (prosemble.models.OCLMRSLVQ method) (prosemble.models.OCLMRSLVQ_NG method) (prosemble.models.OCMRSLVQ method) (prosemble.models.OCMRSLVQ_NG method) (prosemble.models.OCRSLVQ method) (prosemble.models.OCRSLVQ_NG method) (prosemble.models.PCM method) (prosemble.models.PFCM method) (prosemble.models.PLVQ method) (prosemble.models.RiemannianDKGLVQ method) (prosemble.models.RiemannianDKGMLVQ method) (prosemble.models.RiemannianDKGRLVQ method) (prosemble.models.RiemannianDKMSLNG method) (prosemble.models.RiemannianDKMSMNG method) (prosemble.models.RiemannianDKMSTNG method) (prosemble.models.RiemannianDKRSLNG method) (prosemble.models.RiemannianDKRSMNG method) (prosemble.models.RiemannianDKRSTNG method) (prosemble.models.RiemannianDKSLNG method) (prosemble.models.RiemannianDKSMNG method) (prosemble.models.RiemannianDKSTNG method) (prosemble.models.RiemannianNeuralGas method) (prosemble.models.RiemannianSLNG method) (prosemble.models.RiemannianSMNG method) (prosemble.models.RiemannianSRNG method) (prosemble.models.RiemannianSTNG method) (prosemble.models.RSLVQ method) (prosemble.models.RSLVQ_NG method) (prosemble.models.SiameseGLVQ method) (prosemble.models.SiameseGMLVQ method) (prosemble.models.SiameseGTLVQ method) (prosemble.models.SLNG method) (prosemble.models.SLVQ method) (prosemble.models.SMNG method) (prosemble.models.SOM method) (prosemble.models.SRNG method) (prosemble.models.STNG method) (prosemble.models.SVQOCC method) (prosemble.models.SVQOCC_LM method) (prosemble.models.SVQOCC_M method) (prosemble.models.SVQOCC_R method) (prosemble.models.SVQOCC_T method) (prosemble.models.TCELVQ_NG method) fit_transform() (prosemble.core.pipeline.MinMaxScaler method) (prosemble.core.pipeline.PCA method) (prosemble.core.pipeline.Pipeline method) (prosemble.core.pipeline.StandardScaler method) (prosemble.core.pipeline.TransformerMixin method) FPCM (class in prosemble.models) G gamma_ (prosemble.models.AFCM attribute) (prosemble.models.DKGLVQ_NG attribute) (prosemble.models.DKGMLVQ_NG attribute) (prosemble.models.DKGRLVQ_NG attribute) (prosemble.models.IPCM attribute) (prosemble.models.IPCM2 attribute) (prosemble.models.KPCM attribute) (prosemble.models.OCDKGLVQ_NG attribute) (prosemble.models.OCDKGMLVQ_NG attribute) (prosemble.models.OCDKGRLVQ_NG attribute) (prosemble.models.OCGLVQ_NG attribute) (prosemble.models.OCGMLVQ_NG attribute) (prosemble.models.OCGRLVQ_NG attribute) (prosemble.models.OCGTLVQ_NG attribute) (prosemble.models.OCLGMLVQ_NG attribute) (prosemble.models.OCLMRSLVQ_NG attribute) (prosemble.models.OCMRSLVQ_NG attribute) (prosemble.models.OCRSLVQ_NG attribute) (prosemble.models.PCM attribute) (prosemble.models.PFCM attribute) gaussian_kernel() (in module prosemble.core.kernel) gaussian_kernel_matrix() (in module prosemble.core.distance) gaussian_similarity() (in module prosemble.core.similarities) geodesic_interpolation() (in module prosemble.core.geodesic) geodesic_midpoint() (in module prosemble.core.geodesic) get_activation() (in module prosemble.core.activations) get_params() (prosemble.core.pipeline.MinMaxScaler method) (prosemble.core.pipeline.PCA method) (prosemble.core.pipeline.Pipeline method) (prosemble.core.pipeline.StandardScaler method) (prosemble.core.quantization.MetadataCollectorMixin method) get_typicality() (prosemble.models.FPCM method) (prosemble.models.KFPCM method) (prosemble.models.KPFCM method) GLVQ (class in prosemble.models) GLVQ1 (class in prosemble.models) GLVQ21 (class in prosemble.models) glvq_loss() (in module prosemble.core.losses) glvq_loss_with_transfer() (in module prosemble.core.losses) GMLVQ (class in prosemble.models) Grassmannian (class in prosemble.core.manifolds) GridSearchCV (class in prosemble.core.model_selection) GRLVQ (class in prosemble.models) GrowingNeuralGas (class in prosemble.models) GTLVQ (class in prosemble.models) H HCM (class in prosemble.models) HeskesSOM (class in prosemble.models) history_ (prosemble.models.FCM attribute) HyperbolicPoincare (class in prosemble.core.manifolds) hypergradient_descent() (in module prosemble.core.optimizers) HypergradientState (class in prosemble.core.optimizers) I identity() (in module prosemble.core.activations) identity_omega_init() (in module prosemble.core.initializers) ImageCBC (class in prosemble.models) ImageGLVQ (class in prosemble.models) ImageGMLVQ (class in prosemble.models) ImageGTLVQ (class in prosemble.models) injectivity_radius() (prosemble.core.manifolds.Grassmannian method) (prosemble.core.manifolds.HyperbolicPoincare method) (prosemble.core.manifolds.SO method) (prosemble.core.manifolds.SPD method) (prosemble.core.protocols.Manifold method) inter_class_geodesics() (in module prosemble.core.geodesic) inv_sqrt_spd() (in module prosemble.core.manifolds) IPCM (class in prosemble.models) IPCM2 (class in prosemble.models) is_quantized (prosemble.core.quantization.QuantizationMixin property) K k_fold_split_jax() (in module prosemble.core.utils) KAFCM (class in prosemble.models) kernel_bandwidths (prosemble.models.DKGLVQ property) (prosemble.models.DKGLVQ_NG property) (prosemble.models.DKGRLVQ property) (prosemble.models.DKGRLVQ_NG property) (prosemble.models.OCDKGLVQ property) (prosemble.models.OCDKGLVQ_NG property) (prosemble.models.OCDKGRLVQ property) (prosemble.models.OCDKGRLVQ_NG property) (prosemble.models.RiemannianDKGLVQ property) (prosemble.models.RiemannianDKGRLVQ property) (prosemble.models.RiemannianDKRSLNG property) (prosemble.models.RiemannianDKRSMNG property) (prosemble.models.RiemannianDKRSTNG property) (prosemble.models.RiemannianDKSLNG property) (prosemble.models.RiemannianDKSMNG property) (prosemble.models.RiemannianDKSTNG property) kernel_distance() (in module prosemble.core.kernel) kernel_distance_squared() (in module prosemble.core.kernel) kernel_distance_squared_per_proto() (in module prosemble.core.kernel) kernel_distance_squared_relevance() (in module prosemble.core.kernel) KFCM (class in prosemble.models) KFPCM (class in prosemble.models) KIPCM (class in prosemble.models) KIPCM2 (class in prosemble.models) Kmeans (in module prosemble.models) KMeansPlusPlus (class in prosemble.models) KNN (class in prosemble.models) knnc() (in module prosemble.core.competitions) KohonenSOM (class in prosemble.models) KPCM (class in prosemble.models) KPFCM (class in prosemble.models) L labels_ (prosemble.models.HCM attribute) (prosemble.models.KMeansPlusPlus attribute) lambda_hat_matrix (prosemble.models.DKGMLVQ property) (prosemble.models.DKGMLVQ_NG property) (prosemble.models.OCDKGMLVQ property) (prosemble.models.OCDKGMLVQ_NG property) (prosemble.models.RiemannianDKGMLVQ property) (prosemble.models.RiemannianDKMSLNG property) (prosemble.models.RiemannianDKMSMNG property) (prosemble.models.RiemannianDKMSTNG property) LCELVQ_NG (class in prosemble.models) learning_rates (prosemble.core.optimizers.HypergradientState attribute) LGMLVQ (class in prosemble.models) literal_init() (in module prosemble.core.initializers) LMRSLVQ (class in prosemble.models) LMRSLVQ_NG (class in prosemble.models) load() (prosemble.models.GLVQ class method) log_map() (prosemble.core.manifolds.Grassmannian method) (prosemble.core.manifolds.HyperbolicPoincare method) (prosemble.core.manifolds.SO method) (prosemble.core.manifolds.SPD method) (prosemble.core.protocols.Manifold method) logm_safe() (in module prosemble.core.manifolds) lomega_distance() (in module prosemble.core.distance) lomega_distance_matrix() (in module prosemble.core.distance) lpnorm_distance() (in module prosemble.core.distance) lpnorm_distance_matrix() (in module prosemble.core.distance) LVQ1 (class in prosemble.models) lvq1_loss() (in module prosemble.core.losses) LVQ21 (class in prosemble.models) lvq21_loss() (in module prosemble.core.losses) LVQMLN (class in prosemble.models) M manhattan_distance() (in module prosemble.core.distance) manhattan_distance_matrix() (in module prosemble.core.distance) Manifold (class in prosemble.core.protocols) margin_loss() (in module prosemble.core.losses) MCELVQ_NG (class in prosemble.models) mean_init() (in module prosemble.core.initializers) MedianLVQ (class in prosemble.models) MetadataCollectorMixin (class in prosemble.core.quantization) min_max_scale() (in module prosemble.core.utils) MinMaxScaler (class in prosemble.core.pipeline) module prosemble.core.activations prosemble.core.competitions prosemble.core.curriculum prosemble.core.distance prosemble.core.distributed prosemble.core.geodesic prosemble.core.initializers prosemble.core.kernel prosemble.core.losses prosemble.core.manifolds prosemble.core.onnx_export prosemble.core.optimizers prosemble.core.pooling prosemble.core.protocols prosemble.core.quantization prosemble.core.regularization prosemble.core.reject prosemble.core.similarities prosemble.core.utils MRSLVQ (class in prosemble.models) MRSLVQ_NG (class in prosemble.models) N n_iter_ (prosemble.models.AFCM attribute) (prosemble.models.FCM attribute) (prosemble.models.FPCM attribute) (prosemble.models.HCM attribute) (prosemble.models.IPCM attribute) (prosemble.models.IPCM2 attribute) (prosemble.models.KFCM attribute) (prosemble.models.KMeansPlusPlus attribute) (prosemble.models.KPCM attribute) (prosemble.models.PCM attribute) (prosemble.models.PFCM attribute) neural_gas_energy() (in module prosemble.core.losses) NeuralGas (class in prosemble.models) ng_rslvq_loss() (in module prosemble.core.losses) nllr_loss() (in module prosemble.core.losses) NotFittedError (class in prosemble.core.pipeline) NPC (class in prosemble.models) O objective_ (prosemble.models.AFCM attribute) (prosemble.models.FCM attribute) (prosemble.models.FPCM attribute) (prosemble.models.HCM attribute) (prosemble.models.IPCM attribute) (prosemble.models.IPCM2 attribute) (prosemble.models.KFCM attribute) (prosemble.models.KMeansPlusPlus attribute) (prosemble.models.KPCM attribute) (prosemble.models.PCM attribute) (prosemble.models.PFCM attribute) objective_history_ (prosemble.models.AFCM attribute) (prosemble.models.FPCM attribute) (prosemble.models.HCM attribute) (prosemble.models.IPCM attribute) (prosemble.models.IPCM2 attribute) (prosemble.models.KFCM attribute) (prosemble.models.KPCM attribute) OCDKGLVQ (class in prosemble.models) OCDKGLVQ_NG (class in prosemble.models) OCDKGMLVQ (class in prosemble.models) OCDKGMLVQ_NG (class in prosemble.models) OCDKGRLVQ (class in prosemble.models) OCDKGRLVQ_NG (class in prosemble.models) OCGLVQ (class in prosemble.models) OCGLVQ_NG (class in prosemble.models) OCGMLVQ (class in prosemble.models) OCGMLVQ_NG (class in prosemble.models) OCGRLVQ (class in prosemble.models) OCGRLVQ_NG (class in prosemble.models) OCGTLVQ (class in prosemble.models) OCGTLVQ_NG (class in prosemble.models) OCLGMLVQ (class in prosemble.models) OCLGMLVQ_NG (class in prosemble.models) OCLMRSLVQ (class in prosemble.models) OCLMRSLVQ_NG (class in prosemble.models) OCMRSLVQ (class in prosemble.models) OCMRSLVQ_NG (class in prosemble.models) OCRSLVQ (class in prosemble.models) OCRSLVQ_NG (class in prosemble.models) omega_ (prosemble.models.OCGMLVQ attribute) (prosemble.models.OCGMLVQ_NG attribute) (prosemble.models.OCMRSLVQ attribute) (prosemble.models.OCMRSLVQ_NG attribute) (prosemble.models.SVQOCC_M attribute) omega_distance() (in module prosemble.core.distance) omega_distance_matrix() (in module prosemble.core.distance) omega_hat_ (prosemble.models.DKGMLVQ_NG attribute) (prosemble.models.OCDKGMLVQ attribute) (prosemble.models.OCDKGMLVQ_NG attribute) omega_hat_matrix (prosemble.models.DKGMLVQ property) (prosemble.models.DKGMLVQ_NG property) (prosemble.models.OCDKGMLVQ property) (prosemble.models.OCDKGMLVQ_NG property) (prosemble.models.RiemannianDKGMLVQ property) (prosemble.models.RiemannianDKMSLNG property) (prosemble.models.RiemannianDKMSMNG property) (prosemble.models.RiemannianDKMSTNG property) omegas_ (prosemble.models.OCGTLVQ attribute) (prosemble.models.OCGTLVQ_NG attribute) (prosemble.models.OCLGMLVQ attribute) (prosemble.models.OCLGMLVQ_NG attribute) (prosemble.models.OCLMRSLVQ attribute) (prosemble.models.OCLMRSLVQ_NG attribute) (prosemble.models.SVQOCC_LM attribute) (prosemble.models.SVQOCC_T attribute) on_fit_end() (prosemble.core.protocols.CallbackLike method) on_fit_start() (prosemble.core.protocols.CallbackLike method) on_iteration_end() (prosemble.core.protocols.CallbackLike method) ones_init() (in module prosemble.core.initializers) optimal_threshold() (prosemble.core.reject.RejectOptionMixin method), [1] orthogonalize() (in module prosemble.core.utils) P PCA (class in prosemble.core.pipeline) pca_jax() (in module prosemble.core.utils) pca_omega_init() (in module prosemble.core.initializers) PCM (class in prosemble.models) per_group_clip() (in module prosemble.core.optimizers) PerGroupClipState (class in prosemble.core.optimizers) PFCM (class in prosemble.models) Pipeline (class in prosemble.core.pipeline) PLVQ (class in prosemble.models) point_shape (prosemble.core.protocols.Manifold property) polynomial_kernel_matrix() (in module prosemble.core.distance) predict() (prosemble.core.model_selection.GridSearchCV method) (prosemble.core.pipeline.Pipeline method) (prosemble.models.AFCM method) (prosemble.models.BGPC method) (prosemble.models.CBC method) (prosemble.models.CELVQ method) (prosemble.models.CELVQ_NG method) (prosemble.models.DKGLVQ method) (prosemble.models.DKGLVQ_NG method) (prosemble.models.DKGMLVQ method) (prosemble.models.DKGMLVQ_NG method) (prosemble.models.DKGRLVQ method) (prosemble.models.DKGRLVQ_NG method) (prosemble.models.DKHeskesSOM method) (prosemble.models.DKKohonenSOM method) (prosemble.models.DKNeuralGas method) (prosemble.models.FCM method) (prosemble.models.FPCM method) (prosemble.models.GLVQ method) (prosemble.models.GLVQ1 method) (prosemble.models.GLVQ21 method) (prosemble.models.GMLVQ method) (prosemble.models.GRLVQ method) (prosemble.models.GrowingNeuralGas method) (prosemble.models.GTLVQ method) (prosemble.models.HCM method) (prosemble.models.HeskesSOM method) (prosemble.models.ImageCBC method) (prosemble.models.ImageGLVQ method) (prosemble.models.ImageGMLVQ method) (prosemble.models.ImageGTLVQ method) (prosemble.models.IPCM method) (prosemble.models.IPCM2 method) (prosemble.models.KAFCM method) (prosemble.models.KFCM method) (prosemble.models.KFPCM method) (prosemble.models.KIPCM method) (prosemble.models.KIPCM2 method) (prosemble.models.KMeansPlusPlus method) (prosemble.models.KNN method) (prosemble.models.KohonenSOM method) (prosemble.models.KPCM method) (prosemble.models.KPFCM method) (prosemble.models.LCELVQ_NG method) (prosemble.models.LGMLVQ method) (prosemble.models.LMRSLVQ method) (prosemble.models.LMRSLVQ_NG method) (prosemble.models.LVQ1 method) (prosemble.models.LVQ21 method) (prosemble.models.LVQMLN method) (prosemble.models.MCELVQ_NG method) (prosemble.models.MedianLVQ method) (prosemble.models.MRSLVQ method) (prosemble.models.MRSLVQ_NG method) (prosemble.models.NeuralGas method) (prosemble.models.NPC method) (prosemble.models.OCDKGLVQ method) (prosemble.models.OCDKGLVQ_NG method) (prosemble.models.OCDKGMLVQ method) (prosemble.models.OCDKGMLVQ_NG method) (prosemble.models.OCDKGRLVQ method) (prosemble.models.OCDKGRLVQ_NG method) (prosemble.models.OCGLVQ method) (prosemble.models.OCGLVQ_NG method) (prosemble.models.OCGMLVQ method) (prosemble.models.OCGMLVQ_NG method) (prosemble.models.OCGRLVQ method) (prosemble.models.OCGRLVQ_NG method) (prosemble.models.OCGTLVQ method) (prosemble.models.OCGTLVQ_NG method) (prosemble.models.OCLGMLVQ method) (prosemble.models.OCLGMLVQ_NG method) (prosemble.models.OCLMRSLVQ method) (prosemble.models.OCLMRSLVQ_NG method) (prosemble.models.OCMRSLVQ method) (prosemble.models.OCMRSLVQ_NG method) (prosemble.models.OCRSLVQ method) (prosemble.models.OCRSLVQ_NG method) (prosemble.models.PCM method) (prosemble.models.PFCM method) (prosemble.models.PLVQ method) (prosemble.models.RiemannianDKGLVQ method) (prosemble.models.RiemannianDKGMLVQ method) (prosemble.models.RiemannianDKGRLVQ method) (prosemble.models.RiemannianDKMSLNG method) (prosemble.models.RiemannianDKMSMNG method) (prosemble.models.RiemannianDKMSTNG method) (prosemble.models.RiemannianDKRSLNG method) (prosemble.models.RiemannianDKRSMNG method) (prosemble.models.RiemannianDKRSTNG method) (prosemble.models.RiemannianDKSLNG method) (prosemble.models.RiemannianDKSMNG method) (prosemble.models.RiemannianDKSTNG method) (prosemble.models.RiemannianNeuralGas method) (prosemble.models.RiemannianSLNG method) (prosemble.models.RiemannianSMNG method) (prosemble.models.RiemannianSRNG method) (prosemble.models.RiemannianSTNG method) (prosemble.models.RSLVQ method) (prosemble.models.RSLVQ_NG method) (prosemble.models.SiameseGLVQ method) (prosemble.models.SiameseGMLVQ method) (prosemble.models.SiameseGTLVQ method) (prosemble.models.SLNG method) (prosemble.models.SLVQ method) (prosemble.models.SMNG method) (prosemble.models.SOM method) (prosemble.models.SRNG method) (prosemble.models.STNG method) (prosemble.models.SVQOCC method) (prosemble.models.SVQOCC_LM method) (prosemble.models.SVQOCC_M method) (prosemble.models.SVQOCC_R method) (prosemble.models.SVQOCC_T method) (prosemble.models.TCELVQ_NG method) predict_proba() (prosemble.core.model_selection.GridSearchCV method) (prosemble.core.pipeline.Pipeline method) (prosemble.models.AFCM method) (prosemble.models.CBC method) (prosemble.models.CELVQ method) (prosemble.models.CELVQ_NG method) (prosemble.models.DKGLVQ method) (prosemble.models.DKGLVQ_NG method) (prosemble.models.DKGMLVQ method) (prosemble.models.DKGMLVQ_NG method) (prosemble.models.DKGRLVQ method) (prosemble.models.DKGRLVQ_NG method) (prosemble.models.FCM method) (prosemble.models.FPCM method) (prosemble.models.GLVQ method) (prosemble.models.GMLVQ method) (prosemble.models.GRLVQ method) (prosemble.models.GTLVQ method) (prosemble.models.ImageCBC method) (prosemble.models.ImageGLVQ method) (prosemble.models.ImageGMLVQ method) (prosemble.models.ImageGTLVQ method) (prosemble.models.IPCM method) (prosemble.models.IPCM2 method) (prosemble.models.KAFCM method) (prosemble.models.KFCM method) (prosemble.models.KFPCM method) (prosemble.models.KIPCM method) (prosemble.models.KIPCM2 method) (prosemble.models.KPCM method) (prosemble.models.KPFCM method) (prosemble.models.LCELVQ_NG method) (prosemble.models.LGMLVQ method) (prosemble.models.LMRSLVQ method) (prosemble.models.LMRSLVQ_NG method) (prosemble.models.LVQMLN method) (prosemble.models.MCELVQ_NG method) (prosemble.models.MRSLVQ method) (prosemble.models.MRSLVQ_NG method) (prosemble.models.PCM method) (prosemble.models.PFCM method) (prosemble.models.PLVQ method) (prosemble.models.RSLVQ method) (prosemble.models.RSLVQ_NG method) (prosemble.models.SiameseGLVQ method) (prosemble.models.SiameseGMLVQ method) (prosemble.models.SiameseGTLVQ method) (prosemble.models.SLNG method) (prosemble.models.SLVQ method) (prosemble.models.SMNG method) (prosemble.models.SRNG method) (prosemble.models.STNG method) (prosemble.models.TCELVQ_NG method) predict_typicality() (prosemble.models.PFCM method) predict_with_reject() (prosemble.models.OCDKGLVQ method) (prosemble.models.OCDKGLVQ_NG method) (prosemble.models.OCDKGMLVQ method) (prosemble.models.OCDKGMLVQ_NG method) (prosemble.models.OCDKGRLVQ method) (prosemble.models.OCDKGRLVQ_NG method) (prosemble.models.OCGLVQ method) (prosemble.models.OCGLVQ_NG method) (prosemble.models.OCGMLVQ method) (prosemble.models.OCGMLVQ_NG method) (prosemble.models.OCGRLVQ method) (prosemble.models.OCGRLVQ_NG method) (prosemble.models.OCGTLVQ method) (prosemble.models.OCGTLVQ_NG method) (prosemble.models.OCLGMLVQ method) (prosemble.models.OCLGMLVQ_NG method) (prosemble.models.OCLMRSLVQ method) (prosemble.models.OCLMRSLVQ_NG method) (prosemble.models.OCMRSLVQ method) (prosemble.models.OCMRSLVQ_NG method) (prosemble.models.OCRSLVQ method) (prosemble.models.OCRSLVQ_NG method) (prosemble.models.SVQOCC method) (prosemble.models.SVQOCC_LM method) (prosemble.models.SVQOCC_M method) (prosemble.models.SVQOCC_R method) (prosemble.models.SVQOCC_T method) predict_with_rejection() (prosemble.core.reject.RejectOptionMixin method), [1] prev_grads (prosemble.core.optimizers.HypergradientState attribute) project() (prosemble.core.manifolds.Grassmannian method) (prosemble.core.manifolds.HyperbolicPoincare method) (prosemble.core.manifolds.SO method) (prosemble.core.manifolds.SPD method) (prosemble.core.protocols.Manifold method) prosemble.core.activations module prosemble.core.competitions module prosemble.core.curriculum module prosemble.core.distance module prosemble.core.distributed module prosemble.core.geodesic module prosemble.core.initializers module prosemble.core.kernel module prosemble.core.losses module prosemble.core.manifolds module prosemble.core.onnx_export module prosemble.core.optimizers module prosemble.core.pooling module prosemble.core.protocols module prosemble.core.quantization module prosemble.core.regularization module prosemble.core.reject module prosemble.core.similarities module prosemble.core.utils module prototype_diversity_loss() (in module prosemble.core.regularization) prototype_diversity_loss_vectorized() (in module prosemble.core.regularization) prototype_geodesic_distances() (in module prosemble.core.geodesic) prototype_priors() (in module prosemble.core.utils) pure_positive_reasonings_init() (in module prosemble.core.initializers) Q QuantizationMixin (class in prosemble.core.quantization) quantize() (prosemble.core.quantization.QuantizationMixin method) quantized_dtype (prosemble.core.quantization.QuantizationMixin property) R random_normal_init() (in module prosemble.core.initializers) random_omega_init() (in module prosemble.core.initializers) random_point() (prosemble.core.manifolds.Grassmannian method) (prosemble.core.manifolds.HyperbolicPoincare method) (prosemble.core.manifolds.SO method) (prosemble.core.manifolds.SPD method) (prosemble.core.protocols.Manifold method) random_reasonings_init() (in module prosemble.core.initializers) rank_scaled_gaussian() (in module prosemble.core.similarities) rejection_rate() (prosemble.core.reject.RejectOptionMixin method), [1] RejectOptionMixin (class in prosemble.core.reject) relevance_matrix() (prosemble.models.RiemannianSMNG method) relevance_profile (prosemble.models.DKGRLVQ property) (prosemble.models.DKGRLVQ_NG property) (prosemble.models.OCDKGRLVQ property) (prosemble.models.OCDKGRLVQ_NG property) (prosemble.models.RiemannianDKGRLVQ property) (prosemble.models.RiemannianDKRSLNG property) (prosemble.models.RiemannianDKRSMNG property) (prosemble.models.RiemannianDKRSTNG property) relevances_ (prosemble.models.DKGRLVQ_NG attribute) (prosemble.models.OCDKGRLVQ attribute) (prosemble.models.OCDKGRLVQ_NG attribute) (prosemble.models.OCGRLVQ attribute) (prosemble.models.OCGRLVQ_NG attribute) (prosemble.models.SVQOCC_R attribute) replicate_opt_state() (in module prosemble.core.distributed) replicate_params() (in module prosemble.core.distributed) riemannian_nesterov() (in module prosemble.core.optimizers) RiemannianDKGLVQ (class in prosemble.models) RiemannianDKGMLVQ (class in prosemble.models) RiemannianDKGRLVQ (class in prosemble.models) RiemannianDKMSLNG (class in prosemble.models) RiemannianDKMSMNG (class in prosemble.models) RiemannianDKMSTNG (class in prosemble.models) RiemannianDKRSLNG (class in prosemble.models) RiemannianDKRSMNG (class in prosemble.models) RiemannianDKRSTNG (class in prosemble.models) RiemannianDKSLNG (class in prosemble.models) RiemannianDKSMNG (class in prosemble.models) RiemannianDKSTNG (class in prosemble.models) RiemannianNesterovState (class in prosemble.core.optimizers) RiemannianNeuralGas (class in prosemble.models) RiemannianSLNG (class in prosemble.models) RiemannianSMNG (class in prosemble.models) RiemannianSRNG (class in prosemble.models) RiemannianSTNG (class in prosemble.models) RSLVQ (class in prosemble.models) rslvq_loss() (in module prosemble.core.losses) RSLVQ_NG (class in prosemble.models) S safe_divide() (in module prosemble.core.distance) save() (prosemble.models.GLVQ method) selection_init() (in module prosemble.core.initializers) set_params() (prosemble.core.pipeline.MinMaxScaler method) (prosemble.core.pipeline.PCA method) (prosemble.core.pipeline.Pipeline method) (prosemble.core.pipeline.StandardScaler method) (prosemble.core.quantization.MetadataCollectorMixin method) shard_data() (in module prosemble.core.distributed) shuffle_jax() (in module prosemble.core.utils) SiameseGLVQ (class in prosemble.models) SiameseGMLVQ (class in prosemble.models) SiameseGTLVQ (class in prosemble.models) sigmas_ (prosemble.models.DKGLVQ_NG attribute) (prosemble.models.DKGRLVQ_NG attribute) (prosemble.models.OCDKGLVQ attribute) (prosemble.models.OCDKGLVQ_NG attribute) (prosemble.models.OCDKGRLVQ attribute) (prosemble.models.OCDKGRLVQ_NG attribute) sigmoid_beta() (in module prosemble.core.activations) SLNG (class in prosemble.models) SLVQ (class in prosemble.models) SMNG (class in prosemble.models) SO (class in prosemble.core.manifolds) SOM (class in prosemble.models) sparse_relevance_proximal() (in module prosemble.core.regularization) SPD (class in prosemble.core.manifolds) sqrt_spd() (in module prosemble.core.manifolds) squared_euclidean_distance() (in module prosemble.core.distance) squared_euclidean_distance_matrix() (in module prosemble.core.distance) SRNG (class in prosemble.models) standardize() (in module prosemble.core.utils) StandardScaler (class in prosemble.core.pipeline) step (prosemble.core.optimizers.RiemannianNesterovState attribute) STNG (class in prosemble.models) stratified_max_pooling() (in module prosemble.core.pooling) stratified_mean_init() (in module prosemble.core.initializers) stratified_min_pooling() (in module prosemble.core.pooling) stratified_noise_init() (in module prosemble.core.initializers) stratified_prod_pooling() (in module prosemble.core.pooling) stratified_selection_init() (in module prosemble.core.initializers) stratified_sum_pooling() (in module prosemble.core.pooling) SupervisedInitFn (in module prosemble.core.protocols) SVQOCC (class in prosemble.models) SVQOCC_LM (class in prosemble.models) SVQOCC_M (class in prosemble.models) SVQOCC_R (class in prosemble.models) SVQOCC_T (class in prosemble.models) swish_beta() (in module prosemble.core.activations) T T_ (prosemble.models.AFCM attribute) (prosemble.models.FPCM attribute) (prosemble.models.IPCM attribute) (prosemble.models.IPCM2 attribute) (prosemble.models.KPCM attribute) (prosemble.models.PCM attribute) (prosemble.models.PFCM attribute) tangent_distance_matrix() (in module prosemble.core.distance) TCELVQ_NG (class in prosemble.models) thetas_ (prosemble.models.OCDKGLVQ attribute) (prosemble.models.OCDKGLVQ_NG attribute) (prosemble.models.OCDKGMLVQ attribute) (prosemble.models.OCDKGMLVQ_NG attribute) (prosemble.models.OCDKGRLVQ attribute) (prosemble.models.OCDKGRLVQ_NG attribute) (prosemble.models.OCGLVQ attribute) (prosemble.models.OCLMRSLVQ attribute) (prosemble.models.OCLMRSLVQ_NG attribute) (prosemble.models.OCMRSLVQ attribute) (prosemble.models.OCMRSLVQ_NG attribute) (prosemble.models.OCRSLVQ attribute) (prosemble.models.OCRSLVQ_NG attribute) train_test_split_jax() (in module prosemble.core.utils) transform() (prosemble.core.pipeline.MinMaxScaler method) (prosemble.core.pipeline.PCA method) (prosemble.core.pipeline.Pipeline method) (prosemble.core.pipeline.StandardScaler method) (prosemble.models.DKNeuralGas method) (prosemble.models.NeuralGas method) (prosemble.models.RiemannianNeuralGas method) TransformerMixin (class in prosemble.core.pipeline) U U_ (prosemble.models.AFCM attribute) (prosemble.models.FCM attribute) (prosemble.models.FPCM attribute) (prosemble.models.IPCM attribute) (prosemble.models.IPCM2 attribute) (prosemble.models.KFCM attribute) (prosemble.models.PFCM attribute) uniform_init() (in module prosemble.core.initializers) uniform_prototype_prior() (in module prosemble.core.utils) unshard_params() (in module prosemble.core.distributed) UnsupervisedInitFn (in module prosemble.core.protocols) V velocity (prosemble.core.optimizers.RiemannianNesterovState attribute) W wasserstein2_distance_matrix() (in module prosemble.core.distance) wasserstein2_omega_distance_matrix() (in module prosemble.core.distance) wasserstein2_relevance_distance_matrix() (in module prosemble.core.distance) wtac() (in module prosemble.core.competitions) Z zeros_init() (in module prosemble.core.initializers)