Index _ | B | C | D | E | F | G | I | K | M | N | P | R | S | X _ _best_calc() (cxplain.xkm.XkmNextBestFlavour static method) _calc_abs_value() (cxplain.gradient.GradientExplainer method) _calculate_cluster_relevance() (cxplain.gradient.GradientExplainer method) (cxplain.neon.NeonKMeansExplainer method) (cxplain.shap.ShapExplainer method) (cxplain.xkm.XkmExplainer method) _calculate_feature_wise_distance_matrix() (cxplain.xkm.XkmExplainer method) _calculate_global_relevance() (cxplain.gradient.GradientExplainer method) (cxplain.neon.NeonKMeansExplainer method) (cxplain.shap.ShapExplainer method) (cxplain.tree.DecisionTreeExplainer method) (cxplain.tree.ExKMCExplainer method) (cxplain.tree.RandomForestExplainer method) (cxplain.xkm.XkmExplainer method) _calculate_pointwise_relevance() (cxplain.gradient.GradientExplainer method) (cxplain.neon.NeonKMeansExplainer method) (cxplain.shap.ShapExplainer method) (cxplain.xkm.XkmAllFlavour method) (cxplain.xkm.XkmExplainer method) (cxplain.xkm.XkmNextBestFlavour method) _check_forward_pass() (cxplain.neon.KMeansNetwork method) _check_relevance_exists() (cxplain.base_explainer.ExplainedClustering static method) _get_beta() (cxplain.neon.NeonKMeansExplainer method) _get_relevant_shap_values() (cxplain.shap.ShapExplainer static method) _get_xkm_flavour() (in module cxplain.xkm) _init_network() (cxplain.neon.NeonKMeansExplainer method) _rename_feature_columns() (cxplain.base_explainer.BaseExplainer static method) B backward() (cxplain.neon.KMeansNetwork method) BaseExplainer (class in cxplain.base_explainer) BaseXkmFlavour (class in cxplain.xkm) C calculate() (cxplain.metrics.EuclideanMetric static method) (cxplain.metrics.ManhattenMetric static method) (cxplain.metrics.Metric static method) calculate_gradient() (cxplain.metrics.EuclideanMetric static method) (cxplain.metrics.ManhattenMetric static method) (cxplain.metrics.Metric static method) cluster_relevance (cxplain.base_explainer.ExplainedClustering property) cluster_relevance_df (cxplain.base_explainer.ExplainedClustering property) ClusterExplainedClustering (class in cxplain.base_explainer) cxplain.base_explainer module cxplain.errors module cxplain.gradient module cxplain.metrics module cxplain.neon module cxplain.shap module cxplain.tree module cxplain.util module cxplain.xkm module D DecisionTreeExplainer (class in cxplain.tree) E EuclideanMetric (class in cxplain.metrics) ExKMCExplainer (class in cxplain.tree) explain() (cxplain.gradient.GradientExplainer method) (cxplain.neon.NeonKMeansExplainer method) (cxplain.shap.ShapExplainer method) (cxplain.tree.DecisionTreeExplainer method) (cxplain.tree.ExKMCExplainer method) (cxplain.tree.RandomForestExplainer method) (cxplain.xkm.XkmExplainer method) ExplainedClustering (class in cxplain.base_explainer) F fit() (cxplain.gradient.GradientExplainer method) (cxplain.neon.NeonKMeansExplainer method) (cxplain.shap.ShapExplainer method) (cxplain.tree.DecisionTreeExplainer method) (cxplain.tree.ExKMCExplainer method) (cxplain.tree.RandomForestExplainer method) (cxplain.xkm.XkmExplainer method) forward() (cxplain.neon.KMeansNetwork method) G get_distance_metric() (in module cxplain.metrics) get_resource_string() (in module cxplain.util) global_relevance (cxplain.base_explainer.ExplainedClustering property) global_relevance_df (cxplain.base_explainer.ExplainedClustering property) GlobalExplainedClustering (class in cxplain.base_explainer) GradientExplainer (class in cxplain.gradient) I InconsistentNamingError K KMeansNetwork (class in cxplain.neon) M ManhattenMetric (class in cxplain.metrics) Metric (class in cxplain.metrics) MetricError MetricNotImplementedError module cxplain.base_explainer cxplain.errors cxplain.gradient cxplain.metrics cxplain.neon cxplain.shap cxplain.tree cxplain.util cxplain.xkm N NeonExplainer (class in cxplain.neon) NeonKMeansExplainer (class in cxplain.neon) NonExistingRelevanceError NonExsitingXkmFlavourError NotFittedError P pointwise_relevance (cxplain.base_explainer.ExplainedClustering property) pointwise_relevance_df (cxplain.base_explainer.ExplainedClustering property) PointwiseExplainedClustering (class in cxplain.base_explainer) R RandomForestExplainer (class in cxplain.tree) S ShapExplainer (class in cxplain.shap) show_cluster_relevance() (cxplain.base_explainer.ClusterExplainedClustering method) (cxplain.base_explainer.ExplainedClustering method) show_cluster_relevance_for_cluster() (cxplain.base_explainer.ExplainedClustering method) show_cluster_relevance_for_feature() (cxplain.base_explainer.ExplainedClustering method) show_global_relevance() (cxplain.base_explainer.ExplainedClustering method) (cxplain.base_explainer.GlobalExplainedClustering method) show_pointwise_relevance() (cxplain.base_explainer.ExplainedClustering method) (cxplain.base_explainer.PointwiseExplainedClustering method) show_pointwise_relevance_for_feature() (cxplain.base_explainer.ExplainedClustering method) show_pointwise_relevance_for_observation() (cxplain.base_explainer.ExplainedClustering method) show_single_cluster_relevance() (cxplain.base_explainer.ClusterExplainedClustering method) show_single_feature_relevance() (cxplain.base_explainer.ClusterExplainedClustering method) (cxplain.base_explainer.PointwiseExplainedClustering method) show_single_observation_relevance() (cxplain.base_explainer.PointwiseExplainedClustering method) X XkmAllFlavour (class in cxplain.xkm) XkmError XkmExplainer (class in cxplain.xkm) XkmNextBestFlavour (class in cxplain.xkm)