Index _ | A | B | C | D | E | F | G | H | I | L | M | N | O | P | Q | R | S | T | V | W | Z _ __add__() (MultiTrees method), [1] __getitem__() (MultiTrees method), [1] __len__() (MultiTrees method), [1] __reports__ (in module pdstools) __repr__() (MultiTrees method), [1] __version__ (in module pdstools) _apply_query() (ADMDatamart method), [1] _available_columns() (ADMDatamart method), [1] _by() (Tables method) _capitalize() (in module pdstools.utils.cdh_utils) _create_sign_df() (ADMDatamart static method), [1] _cumulativeMetricPerPeriod() (in module pdstools.ih.IHAnalysis) _decodeTrees() (ADMTreesModel method) _depth() (ADMTreesModel method) _divide_context() (ADMVisualisations method) _extract_keys() (in module pdstools.utils.cdh_utils) _fillChildNodeIDs() (ADMTreesModel static method) _generateFacets() (Plots method) _get_combined_data() (ADMDatamart method), [1] _get_dependency_info() (in module pdstools.utils.show_versions) _get_dependency_version() (in module pdstools.utils.show_versions) _get_opt_dependency_info() (in module pdstools.utils.show_versions) _import_utils() (ADMDatamart method), [1] _inferTypes() (DataAnonymization2 method) _instance (CDHLimits attribute), [1] _last() (ADMDatamart static method), [1] _last_timestamp() (ADMDatamart static method), [1] _metricPerPeriod() (in module pdstools.ih.IHAnalysis) _plotPerPeriod() (in module pdstools.ih.IHAnalysis) _polarsCapitalize() (in module pdstools.utils.cdh_utils) _post_import_cleanup() (ADMTreesModel method) _read_model() (ADMTreesModel method) _readClientCredentialFile() (in module pdstools.pega_io) (in module pdstools.pega_io.API) _set_types() (ADMDatamart method), [1] _subset_data() (Plots method) A accumulate_num_binnings() (BinAggregator method), [1] accumulate_sym_binnings() (BinAggregator method), [1] addCountsForThresholdRange() (ValueFinder method), [1] ADMDatamart (class in pdstools) (class in pdstools.adm.ADMDatamart) ADMTrees (class in pdstools) (class in pdstools.adm.ADMTrees) ADMTreesModel (class in pdstools.adm.ADMTrees) ADMVisualisations (class in pdstools.plots.plots_plotly) allValuesPerSplit (ADMTreesModel attribute) allValuesPerSplit() (ADMTreesModel method) any_frame (in module pdstools.utils.types) ApplicableTables (Tables property) ApplicableTablesNoPredictorBinning (Tables property) ApplicableVisualisations (Plots property) applyGlobalQuery() (ADMDatamart method), [1] AUC() (in module pdstools.ih.IHAnalysis) auc2GINI() (in module pdstools.utils.cdh_utils) auc_from_bincounts() (in module pdstools.utils.cdh_utils) auc_from_probs() (in module pdstools.utils.cdh_utils) aucpr_from_bincounts() (in module pdstools.utils.cdh_utils) aucpr_from_probs() (in module pdstools.utils.cdh_utils) AvailableTables (Tables property) AvailableVisualisations (Plots attribute) (Plots property) B BinAggregator (class in pdstools) (class in pdstools.adm.BinAggregator) C cache_to_file() (in module pdstools.pega_io) (in module pdstools.pega_io.File) cachedDatamart() (in module pdstools.utils.streamlit_utils) cachedSample() (in module pdstools.utils.streamlit_utils) calculateNumericRanges() (DataAnonymization2 method) CDHLimits (class in pdstools) (class in pdstools.utils.CDHLimits) CDHSample() (in module pdstools) (in module pdstools.utils.datasets) check_limits() (CDHLimits method), [1] colorway (in module pdstools.utils.pega_template) combine_two_numbinnings() (BinAggregator method), [1] combinedData (ADMDatamart attribute), [1] computeCategorizationOverTime() (ADMTreesModel method) computeOverTime() (MultiTrees method), [1] Config (class in pdstools) (class in pdstools.utils.hds_utils) (class in pdstools.utils.hds_utils_experimental) configure_predictor_categorization() (in module pdstools.utils.streamlit_utils) context_keys (ADMDatamart attribute), [1] (MultiTrees attribute), [1] convert_df() (in module pdstools.utils.streamlit_utils) create_empty_numbinning() (BinAggregator method), [1] create_mapping_file() (DataAnonymization method), [1] (DataAnonymization2 method) create_predictor_mapping() (DataAnonymization2 method) create_symbol_list() (BinAggregator method), [1] D DataAnonymization (class in pdstools) (class in pdstools.utils.hds_utils) DataAnonymization2 (class in pdstools.utils.hds_utils_experimental) DecisionTime (PegaDefaultTables.pyValueFinder attribute), [1] defaultPredictorCategorization() (in module pdstools) (in module pdstools.utils.cdh_utils) describe_models() (ADMDatamart method), [1] detect_outlier() (in module pdstools.ih.legacy_IH) discover_modelTypes() (ADMDatamart method), [1] distribution_graph() (ADMVisualisations static method) E exportTables() (ADMDatamart method), [1] expr_list (built-in variable) F facettedPlot() (Plots static method) featureImportance() (in module pdstools.utils.cdh_utils) fillMissing() (ADMDatamart method), [1] filter_dataframe() (in module pdstools.utils.streamlit_utils) FinalPropensity (PegaDefaultTables.pyValueFinder attribute), [1] first (MultiTrees property), [1] fromFilePath() (in module pdstools.utils.streamlit_utils) fromPRPCDateTime() (in module pdstools.pega_io) (in module pdstools.utils.cdh_utils) fromUploadedFile() (in module pdstools.utils.streamlit_utils) G gains_table() (in module pdstools.utils.cdh_utils) gainsPerSplit (ADMTreesModel attribute) gainsPerSplit() (ADMTreesModel method) gainsPerTree (ADMTreesModel attribute) gainsPerTree() (ADMTreesModel method) generateReport() (ADMDatamart method), [1] get_accept_rate() (in module pdstools.ih.legacy_IH) get_accept_rate_time() (in module pdstools.ih.legacy_IH) get_ADMDatamart() (S3Data method), [1] get_AGB_models() (ADMDatamart method), [1] get_all_times_inds() (in module pdstools.ih.legacy_IH) get_allDays_df() (in module pdstools.ih.legacy_IH) get_columns_by_type() (DataAnonymization method), [1] (DataAnonymization2 method) get_daily_graph() (in module pdstools.ih.legacy_IH) get_delta_df() (in module pdstools.ih.legacy_IH) get_engine() (ADMDatamart static method), [1] get_latest_file() (in module pdstools.pega_io) (in module pdstools.pega_io.File) get_limits() (CDHLimits method), [1] get_model_stats() (ADMDatamart method), [1] get_outcome_share_time() (in module pdstools.ih.legacy_IH) get_predictors_mapping() (DataAnonymization method), [1] get_source_numbinning() (BinAggregator method), [1] get_token() (in module pdstools) (in module pdstools.pega_io) (in module pdstools.pega_io.API) get_total_outcome() (in module pdstools.ih.legacy_IH) get_total_outcome_share_per_level() (in module pdstools.ih.legacy_IH) get_URL() (in module pdstools.pega_io) (in module pdstools.pega_io.API) getAllValuesPerSplit() (ADMTreesModel method) getAllVisitedNodes() (ADMTreesModel method) getCountsPerStage() (ValueFinder method), [1] getCountsPerThreshold() (ValueFinder method), [1] getCustomerSummary() (ValueFinder method), [1] getDatamartData() (S3Data method), [1] getFiles() (DataAnonymization2 method) getGainsPerSplit() (ADMTreesModel method) getGroupedGainsPerSplit() (ADMTreesModel method) getHasher() (DataAnonymization method), [1] (DataAnonymization2 method) getMatches() (in module pdstools.pega_io) (in module pdstools.pega_io.File) getMultiTrees() (ADMTrees static method), [1] getNodesRecursively() (ADMTreesModel method) getPredictionsChannelMapping() (Prediction method), [1] getPredictors() (ADMTreesModel method) getPredictorsWithTypes() (DataAnonymization2 method) getS3Files() (S3Data method), [1] getSplitsRecursively() (ADMTreesModel method) getThFromQuantile() (ValueFinder method), [1] getTreeRepresentation() (ADMTreesModel method) getTreeStats() (ADMTreesModel method) getTypeMapping() (in module pdstools.utils.cdh_utils) getVisitedNodes() (ADMTreesModel method) groupedGainsPerSplit (ADMTreesModel attribute) groupedGainsPerSplit() (ADMTreesModel method) H hasCombined (Plots attribute) hasModels (Plots attribute) hasPredictorBinning (Plots attribute) height() (Sample method), [1] help() (in module pdstools.app.cli) I import_data() (ADMDatamart method), [1] import_datamart() (in module pdstools.utils.streamlit_utils) import_file() (in module pdstools.pega_io) (in module pdstools.pega_io.File) import_strategy (ADMDatamart attribute), [1] (Plots attribute) inferTableDefinition() (in module pdstools.utils.cdh_utils) inferTypes() (DataAnonymization2 method) initial_prep() (in module pdstools.ih.legacy_IH) is_available (ADMDatamart property), [1] (Prediction property), [1] is_valid (Prediction property), [1] item() (Sample method), [1] L last (MultiTrees property), [1] last() (ADMDatamart method), [1] learning_rate (ADMTreesModel attribute) legend_color_order() (in module pdstools.utils.cdh_utils) lift() (in module pdstools.utils.cdh_utils) limits (in module pdstools.utils.CDHLimits) LimitStatus (CDHLimits attribute), [1] lims (CDHLimits attribute), [1] load_from_config_file() (Config method), [1], [2] load_hds_files() (DataAnonymization method), [1] LogOdds() (in module pdstools.utils.cdh_utils) M main() (in module pdstools.app.cli) Metrics (CDHLimits attribute), [1] model (ADMTreesModel attribute) model_and_row_counts() (in module pdstools.utils.streamlit_utils) model_name (MultiTrees attribute), [1] model_selection_df() (in module pdstools.utils.streamlit_utils) model_summary() (ADMDatamart method), [1] modelData (ADMDatamart attribute), [1] modeldata_last_snapshot() (Tables method) ModelPositives (PegaDefaultTables.pyValueFinder attribute), [1] models_by_positives_df() (ADMDatamart method), [1] ModelsByPositives() (ADMVisualisations method) module pdstools pdstools.adm pdstools.adm.ADMDatamart pdstools.adm.ADMTrees pdstools.adm.BinAggregator pdstools.adm.Tables pdstools.app pdstools.app.cli pdstools.app.Home pdstools.app.pages pdstools.app.pages.3-Reports pdstools.ih pdstools.ih.IHAnalysis pdstools.ih.legacy_IH pdstools.pega_io pdstools.pega_io.API pdstools.pega_io.File pdstools.pega_io.S3 pdstools.plots pdstools.plots.plot_base pdstools.plots.plots_plotly pdstools.prediction pdstools.prediction.Prediction pdstools.reports pdstools.utils pdstools.utils.cdh_utils pdstools.utils.CDHLimits pdstools.utils.datasets pdstools.utils.errors pdstools.utils.hds_utils pdstools.utils.hds_utils_experimental pdstools.utils.NBAD pdstools.utils.pega_template pdstools.utils.polars_ext pdstools.utils.show_versions pdstools.utils.streamlit_utils pdstools.utils.table_definitions pdstools.utils.types pdstools.valuefinder pdstools.valuefinder.ValueFinder MultiTrees (class in pdstools) (class in pdstools.adm.ADMTrees) N name (in module pdstools.app.pages.3-Reports) NBAD_model_configurations (ADMDatamart attribute), [1] NBAD_ModelConfiguration (in module pdstools.utils.NBAD) NBAD_Prediction (in module pdstools.utils.NBAD) negative_positive (in module pdstools.utils.pega_template) neutral_positive (in module pdstools.utils.pega_template) normalize_all_binnings() (BinAggregator method), [1] NotApplicableError NotEagerError num_limit (CDHLimits attribute), [1] O opts (built-in variable) overall_summary() (ADMDatamart method), [1] (Prediction method), [1] OverTime() (ADMVisualisations method) P parsePegaDateTimeFormats() (in module pdstools.utils.cdh_utils) parseSplitValues() (ADMTreesModel method) parseSplitValuesWithSpaces() (ADMTreesModel static method) pdstools module pdstools.adm module pdstools.adm.ADMDatamart module pdstools.adm.ADMTrees module pdstools.adm.BinAggregator module pdstools.adm.Tables module pdstools.app module pdstools.app.cli module pdstools.app.Home module pdstools.app.pages module pdstools.app.pages.3-Reports module pdstools.ih module pdstools.ih.IHAnalysis module pdstools.ih.legacy_IH module pdstools.pega_io module pdstools.pega_io.API module pdstools.pega_io.File module pdstools.pega_io.S3 module pdstools.plots module pdstools.plots.plot_base module pdstools.plots.plots_plotly module pdstools.prediction module pdstools.prediction.Prediction module pdstools.reports module pdstools.utils module pdstools.utils.cdh_utils module pdstools.utils.CDHLimits module pdstools.utils.datasets module pdstools.utils.errors module pdstools.utils.hds_utils module pdstools.utils.hds_utils_experimental module pdstools.utils.NBAD module pdstools.utils.pega_template module pdstools.utils.polars_ext module pdstools.utils.show_versions module pdstools.utils.streamlit_utils module pdstools.utils.table_definitions module pdstools.utils.types module pdstools.valuefinder module pdstools.valuefinder.ValueFinder module PegaDefaultTables (class in pdstools) (class in pdstools.utils.table_definitions) PegaDefaultTables.ADMModelSnapshot (class in pdstools) (class in pdstools.utils.table_definitions) PegaDefaultTables.ADMPredictorBinningSnapshot (class in pdstools) (class in pdstools.utils.table_definitions) PegaDefaultTables.pyValueFinder (class in pdstools) (class in pdstools.utils.table_definitions) performance (in module pdstools.utils.pega_template) PerformanceSuccessRateBubbleChart() (ADMVisualisations method) pivot_df() (ADMDatamart method), [1] plot_binning_attribution() (BinAggregator method), [1] plot_daily_accept_rate() (in module pdstools.ih.legacy_IH) plot_daily_cumulative_accept_rate() (in module pdstools.ih.legacy_IH) plot_lift_binning() (BinAggregator method), [1] plot_outcome_count_time() (in module pdstools.ih.legacy_IH) plot_outcome_share_graph() (in module pdstools.ih.legacy_IH) plot_share_delta_graph() (in module pdstools.ih.legacy_IH) plot_weekly_accept_rate() (in module pdstools.ih.legacy_IH) plotApplicable() (Plots method) plotBinningLift() (BinAggregator method), [1] (in module pdstools.plots.plot_base) plotContributionPerTree() (ADMTreesModel method) plotDistributionPerThreshold() (ValueFinder method), [1] plotFunnelChart() (ValueFinder method), [1] plotModelsByPositives() (Plots method) plotOverTime() (Plots method) plotPerformanceSuccessRateBubbleChart() (Plots method) plotPieCharts() (ValueFinder method), [1] plotPredictorBinning() (Plots method) plotPredictorCategoryPerformance() (Plots method) plotPredictorContribution() (Plots method) plotPredictorCount() (Plots method) plotPredictorPerformance() (Plots method) plotPredictorPerformanceHeatmap() (Plots method) plotPropensityDistribution() (in module pdstools.ih.IHAnalysis) (ValueFinder method), [1] plotPropensityThreshold() (ValueFinder method), [1] plotPropositionSuccessRates() (Plots method) plotResponseGain() (Plots method) Plots (class in pdstools.plots.plot_base) plotScoreDistribution() (Plots method) plotSplitsPerVariable() (ADMTreesModel method) plotSplitsPerVariableType() (ADMTreesModel method) (MultiTrees method), [1] plotSuccessRatePerPeriod() (in module pdstools.ih.IHAnalysis) plotTree() (ADMTreesModel method) plotTreeMap() (Plots method) plotVolumesPerPeriod() (in module pdstools.ih.IHAnalysis) positive_negative (in module pdstools.utils.pega_template), [1] post_plot() (ADMVisualisations static method) Prediction (class in pdstools.prediction) (class in pdstools.prediction.Prediction) predictions (Prediction attribute), [1] predictor_last_snapshot() (Tables method) PredictorBinning() (ADMVisualisations method) predictorbinning() (Tables method) predictorCategorization() (ADMTreesModel method) PredictorContribution() (ADMVisualisations method) PredictorCount() (ADMVisualisations method) predictorData (ADMDatamart attribute), [1] PredictorPerformance() (ADMVisualisations method) PredictorPerformanceHeatmap() (ADMVisualisations method) predictors (ADMTreesModel attribute) predictors() (ADMTreesModel method) process() (DataAnonymization method), [1] (DataAnonymization2 method) process_files() (in module pdstools.utils.streamlit_utils) processTables() (ADMDatamart method), [1] properties (ADMTreesModel attribute) PropositionSuccessRates() (ADMVisualisations method) pxApplication (PegaDefaultTables.ADMModelSnapshot attribute), [1] pxCommitDateTime (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pxInsName (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pxObjClass (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pxPriority (PegaDefaultTables.pyValueFinder attribute), [1] pxRank (PegaDefaultTables.pyValueFinder attribute), [1] pxSaveDateTime (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyActivePredictors (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyAppliesToClass (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyBinIndex (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyBinLowerBound (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyBinNegatives (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyBinNegativesPercentage (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyBinPositives (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyBinPositivesPercentage (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyBinResponseCount (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyBinResponseCountPercentage (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyBinSymbol (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyBinType (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyBinUpperBound (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyChannel (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.pyValueFinder attribute), [1] pyConfigurationName (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyContents (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyCorrelationPredictor (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyCorrelationThreshold (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyDirection (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.pyValueFinder attribute), [1] pyEntryType (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyExtension (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyFactoryUpdatetime (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyGroup (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.pyValueFinder attribute), [1] pyGroupIndex (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyIssue (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.pyValueFinder attribute), [1] pyLift (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyMemory (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyModelData (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyModelID (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyModelPropensity (PegaDefaultTables.pyValueFinder attribute), [1] pyModelVersion (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyName (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.pyValueFinder attribute), [1] pyNegatives (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyPerformance (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyPerformanceError (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyPerformanceThreshold (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyPositives (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyPredictorName (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyPropensity (PegaDefaultTables.pyValueFinder attribute), [1] pyRelativeBinNegatives (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyRelativeBinPositives (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyRelativeBinResponseCount (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyRelativeNegatives (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyRelativePositives (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyRelativeResponseCount (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyResponseCount (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pySnapshotTime (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyStage (PegaDefaultTables.pyValueFinder attribute), [1] pySubjectID (PegaDefaultTables.pyValueFinder attribute), [1] pySubjectType (PegaDefaultTables.pyValueFinder attribute), [1] pySuccessRate (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyTotalBins (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyTotalPredictors (PegaDefaultTables.ADMModelSnapshot attribute), [1] pyTreatment (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.pyValueFinder attribute), [1] pyType (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pyZRatio (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] pzInsKey (PegaDefaultTables.ADMModelSnapshot attribute), [1] (PegaDefaultTables.ADMPredictorBinningSnapshot attribute), [1] Q query (ADMDatamart attribute), [1] R read_predictor_type_from_datamart() (DataAnonymization static method), [1] read_predictor_type_from_file() (DataAnonymization method), [1] readDSExport() (in module pdstools) (in module pdstools.pega_io) (in module pdstools.pega_io.File) readMultiZip() (in module pdstools.pega_io) (in module pdstools.pega_io.File) readZippedFile() (in module pdstools.pega_io) (in module pdstools.pega_io.File) response_gain_df() (ADMDatamart static method), [1] ResponseGain() (ADMVisualisations method) roll_up() (BinAggregator method), [1] run() (in module pdstools.app.cli) S S3Data (class in pdstools.pega_io) (class in pdstools.pega_io.S3) safe_range_auc() (in module pdstools.utils.cdh_utils) Sample (class in pdstools) (class in pdstools.utils.polars_ext) sample() (Sample method), [1] SampleTrees() (in module pdstools) (in module pdstools.utils.datasets) SampleValueFinder() (in module pdstools) (in module pdstools.utils.datasets) save_data() (ADMDatamart method), [1] (ValueFinder method), [1] save_to_config_file() (Config method), [1], [2] score() (ADMTreesModel method) ScoreDistribution() (ADMVisualisations method) select_date_range_lookback() (in module pdstools.ih.legacy_IH) set_types() (in module pdstools.utils.cdh_utils) setNumericRanges() (DataAnonymization2 method) setPredictorTypes() (DataAnonymization2 method) setRangeForPredictor() (DataAnonymization2 method) setTypeForPredictor() (DataAnonymization2 method) setupAzureOpenAI() (in module pdstools) (in module pdstools.pega_io) (in module pdstools.pega_io.API) shape() (Sample method), [1] show_versions() (in module pdstools) (in module pdstools.utils.show_versions) splitsPerTree (ADMTreesModel attribute) splitsPerTree() (ADMTreesModel method) splitsPerVariableType() (ADMTreesModel method) standardChannelGroups (ADMDatamart attribute), [1] standardDirections (ADMDatamart attribute), [1] standardNBADModelConfigurations (in module pdstools.utils.NBAD) standardNBADPredictions (in module pdstools.utils.NBAD) StartingEvidence (PegaDefaultTables.pyValueFinder attribute), [1] success (in module pdstools.utils.pega_template) SuccessRate() (in module pdstools.ih.IHAnalysis) successRatePerPeriod() (in module pdstools.ih.IHAnalysis) summary_by_channel() (ADMDatamart method), [1] (Prediction method), [1] sync_reports() (in module pdstools.utils.cdh_utils) T Tables (class in pdstools.adm.Tables) to_normalize() (DataAnonymization2 method) top_n() (Plots static method) toPRPCDateTime() (in module pdstools.utils.cdh_utils) TreeMap() (ADMVisualisations method) trees (ADMTreesModel attribute) (MultiTrees attribute), [1] treeStats (ADMTreesModel attribute) treeStats() (ADMTreesModel method) V validate_paths() (Config method), [1], [2] validityExpr (Prediction attribute), [1] Value (PegaDefaultTables.pyValueFinder attribute), [1] ValueFinder (class in pdstools) (class in pdstools.valuefinder.ValueFinder) verbose (ADMDatamart attribute), [1] volumesPerPeriod() (in module pdstools.ih.IHAnalysis) W weighted_average_polars() (in module pdstools.utils.cdh_utils) weighted_performance_polars() (in module pdstools.utils.cdh_utils) working_dir (in module pdstools.app.pages.3-Reports) write_to_output() (DataAnonymization method), [1] (DataAnonymization2 method) Z zRatio() (in module pdstools.utils.cdh_utils)