Index

Symbols

--config-path log_ml.py-pipeline-generate_dag command line option log_ml.py-pipeline-run command line option --dataset-path log_ml.py-pipeline-generate_dag command line option log_ml.py-pipeline-run command line option --debug log_ml.py-pipeline-run command line option --dry-run log_ml.py-pipeline-run command line option --job-completion-file log_ml.py-pipeline-run command line option --job-id log_ml.py-pipeline-run command line option --log-file log_ml.py-pipeline-run command line option --mct-config-path log_ml.py-pipeline-run command line option --njobs log_ml.py-pipeline-run command line option --no-debug log_ml.py-pipeline-run command line option --no-dry-run log_ml.py-pipeline-run command line option --no-profile log_ml.py-pipeline-run command line option --no-reset log_ml.py-pipeline-run command line option --no-use-json log_ml.py-config-print-schema command line option --objective log_ml.py-models-list command line option --output log_ml.py-config-print-schema command line option log_ml.py-config-validate command line option --output-path log_ml.py-pipeline-generate_dag command line option log_ml.py-pipeline-run command line option log_ml.py-pipeline-state command line option --profile log_ml.py-pipeline-run command line option

--project-id log_ml.py-pipeline-run command line option --reset log_ml.py-pipeline-run command line option --run-name log_ml.py-pipeline-generate_dag command line option log_ml.py-pipeline-run command line option log_ml.py-pipeline-state command line option --short log_ml.py-models-list command line option --sig-db-path log_ml.py-pipeline-run command line option --step log_ml.py-pipeline-run command line option --use-json log_ml.py-config-print-schema command line option -c log_ml.py-pipeline-generate_dag command line option log_ml.py-pipeline-run command line option -d log_ml.py-pipeline-generate_dag command line option log_ml.py-pipeline-run command line option -j log_ml.py-pipeline-run command line option -l log_ml.py-pipeline-run command line option -m log_ml.py-pipeline-run command line option -n log_ml.py-pipeline-generate_dag command line option log_ml.py-pipeline-run command line option log_ml.py-pipeline-state command line option -o log_ml.py-config-print-schema command line option log_ml.py-config-validate command line option log_ml.py-models-list command line option log_ml.py-pipeline-generate_dag command line option log_ml.py-pipeline-run command line option log_ml.py-pipeline-state command line option -p log_ml.py-pipeline-run command line option

A

abstract_field() (in module logml.data.datasets.base) Accuracy (class in logml.metrics.registry.classification) action (logml.data.utils.DataTransformLogItem attribute) action_data (logml.data.utils.DataTransformLogItem attribute) action_params (logml.data.utils.DataTransformLogItem attribute) add_column_md() (logml.data.metadata.DatasetMetadata method) add_edge() (logml.eda.artifacts.correlation.CorrelationGraph method) add_random_features() (in module logml.feature_importance.sfd) AddRandomColumnsTransformer (class in logml.data.transformers.randomization) adjusted_pvalue (logml.analysis.items.greedy_split.GreedySplitStrata attribute) affected_columns_ (logml.data.transformers.decomposition.BaseDecompositionTransformer attribute) (logml.data.transformers.decomposition.NMFDecompositionTransformer attribute) (logml.data.transformers.decomposition.PCADecompositionTransformer attribute) (logml.data.transformers.encoding.BinaryEncodingTransformer attribute) (logml.data.transformers.encoding.BucketizeTransformer attribute) (logml.data.transformers.encoding.DateTimeEncodingTransformer attribute) (logml.data.transformers.encoding.DNAIndicatorsBinarizationTransformer attribute) (logml.data.transformers.encoding.LabelEncodingTransformer attribute) (logml.data.transformers.encoding.MapEncodingTransformer attribute) (logml.data.transformers.encoding.MultiLabelEncodingTransformer attribute) (logml.data.transformers.encoding.OneHotEncodingTransformer attribute) (logml.data.transformers.filtering.DNASubsetFilteringTransformer attribute) (logml.data.transformers.filtering.DropColumnsTransformer attribute) (logml.data.transformers.filtering.DropColumnsWithoutMutationsTransformer attribute) (logml.data.transformers.filtering.DropHighMutualInfoColumnsTransformer attribute) (logml.data.transformers.filtering.DropLowVarianceColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanRowsTransformer attribute) (logml.data.transformers.filtering.PrevalenceFilteringTransformer attribute) (logml.data.transformers.filtering.RemoveCorrelatedColumnsTransformer attribute) (logml.data.transformers.filtering.SelectColumnsTransformer attribute) (logml.data.transformers.imputation.MICEImputeTransformer attribute) (logml.data.transformers.imputation.SimpleImputeTransformer attribute) (logml.data.transformers.lambdas.BaseLambdaTransformer attribute) (logml.data.transformers.lambdas.BinarizationLambdaTransformer attribute) (logml.data.transformers.lambdas.ConvertToFloatTransformer attribute) (logml.data.transformers.lambdas.Log1pLambdaTransformer attribute) (logml.data.transformers.lambdas.LogLambdaTransformer attribute) (logml.data.transformers.lambdas.QueryBooleanTransformer attribute) (logml.data.transformers.lambdas.ReplaceValueTransformer attribute) (logml.data.transformers.lambdas.ResolveMultipleChoiceTransformer attribute) (logml.data.transformers.metadata.SanitizeColumnsTransformer attribute) (logml.data.transformers.normalization.BaseNormalizationTransformer attribute) (logml.data.transformers.normalization.Log1pStandardNormalizationTransformer attribute) (logml.data.transformers.normalization.LogStandardNormalizationTransformer attribute) (logml.data.transformers.normalization.MaxAbsNormalizationTransformer attribute) (logml.data.transformers.normalization.MinMaxNegNormalizationTransformer attribute) (logml.data.transformers.normalization.MinMaxNormalizationTransformer attribute) (logml.data.transformers.normalization.StandardNormalizationTransformer attribute) (logml.data.transformers.randomization.AddRandomColumnsTransformer attribute) (logml.data.transformers.randomization.ShuffleTransformer attribute) (logml.data.transformers.unbalanced_data.DownsamplingTransformer attribute) (logml.data.transformers.unbalanced_data.UpsamplingTransformer attribute) aggregate_intermediate_results (logml.configuration.modeling.FeatureImportanceWorkflow attribute) aggregate_results() (logml.feature_importance.sfd.FIDSRunner method) aggregate_shap_values_to_columns() (in module logml.model_search.shap) AGGREGATED_ARTIFACTS (logml.feature_importance.FeatureImportanceOutputStructure attribute) AggregateFeatureImportanceStep (class in logml.analysis.items.modeling) algorithm (logml.configuration.modeling.HPOSection attribute)

alias (logml.data.config.BucketDefinition attribute) ALIAS (logml.eda.artifacts_producers.base.BaseEDAArtifactsProducer attribute) (logml.eda.artifacts_producers.correlation.CorrelationSummaryProducer attribute) (logml.eda.artifacts_producers.dimensionality_reduction.DimensionalityReductionSummaryProducer attribute) (logml.eda.artifacts_producers.distributions.DistributionsSummaryProducer attribute) (logml.eda.artifacts_producers.metadata.MetadataProducer attribute) (logml.eda.artifacts_producers.missingness.MissingnessSummaryProducer attribute) (logml.eda.artifacts_producers.stats_summary.StatisticsSummaryProducer attribute) (logml.report.notebooks.analysis.GreedySplitNotebook attribute) (logml.report.notebooks.base.BaseReportItem attribute) (logml.report.notebooks.base.CustomNotebook attribute) (logml.report.notebooks.diagnostics.ReportDiagnosticsNotebook attribute) (logml.report.notebooks.eda.CategoricalSummaryNotebook attribute) (logml.report.notebooks.eda.DimensionalityReductionNotebook attribute) (logml.report.notebooks.eda.DistributionsSummaryNotebook attribute) (logml.report.notebooks.eda.EDANotebooksSet attribute) (logml.report.notebooks.eda.FacetsDiveNotebook attribute) (logml.report.notebooks.eda.InitializeDataNotebook attribute) (logml.report.notebooks.eda.MissingnessNotebook attribute) (logml.report.notebooks.eda.StatisticsSummaryNotebook attribute) (logml.report.notebooks.master_summary.MasterSummaryNotebook attribute) (logml.report.notebooks.master_summary.ReportSummaryNotebook attribute) (logml.report.notebooks.master_summary.StandaloneSummaryPage attribute) (logml.report.notebooks.modeling.BaselineModelingNotebook attribute) (logml.report.notebooks.modeling.CrossStrataFINotebook attribute) (logml.report.notebooks.modeling.FeatureImportanceNotebook attribute) (logml.report.notebooks.modeling.ModelingNotebooksSet attribute) (logml.report.notebooks.rnaseq_gsa.RNASeqDifferentialExpressionNotebook attribute) (logml.report.notebooks.rnaseq_gsa.RNASeqEnrichmentAnalysisNotebook attribute) (logml.report.notebooks.survival_analysis.SurvivalAnalysisNotebook attribute) ALL (logml.data.config.DropNaMode attribute) ALL_TRIALS_FAILED (logml.model_search.common.ModelHpoStatus attribute) all_trials_failed (logml.model_search.hp_optimizer.HpoResult attribute) (logml.model_search.hp_optimizer.ModelHpoResult attribute) analysis (logml.configuration.global_config.GlobalConfig attribute) ANALYSIS_ITEM_NAME (logml.report.views.greedy_split.GreedySplitSurvivalView attribute) ANALYSIS_MD (logml.common.OutputStructure attribute) analysis_name (logml.analysis.base_item.AnalysisMetadata attribute) analysis_section_enabled() (logml.configuration.global_config.GlobalConfig method) AnalysisItem (class in logml.analysis.base_item) AnalysisItemOutputStructure (class in logml.analysis) AnalysisMetadata (class in logml.analysis.base_item) AnalysisPipelineContext (class in logml.analysis.base_item) AnalysisResult (class in logml.analysis.base_item) AnalysisRunner (class in logml.analysis.runner) ANY (logml.data.config.DropNaMode attribute) apply_fdr() (logml.survival_analysis.handlers.kaplan_meier.KMArtifactsHandler method) apply_fdr_with_nas() (in module logml.data.utils) apply_log1p_to_target (logml.configuration.modeling.DatasetPreprocessingPresetSection attribute) ARCHIVE_EXTENSION (logml.report.packaging.ReleaseStructure attribute) ArtifactManager (class in logml.survival_analysis.artifacts.manager) artifacts (logml.configuration.eda.EDAArtifactsGenerationSection attribute) ARTIFACTS (logml.eda.EDAArtifactsOutputStructure attribute) artifacts_exist() (logml.eda.EDAArtifactsOutputStructure method) (logml.feature_importance.FeatureImportanceOutputStructure method) (logml.model_search.ModelSearchOutputStructure method) (logml.survival_analysis.CoxSAOutputStructure method) (logml.survival_analysis.KaplanMeierSAOutputStructure method) (logml.survival_analysis.OptimalCutOffSAOutputStructure method) ArtifactsLoader (class in logml.eda.artifacts.loader)

B

backward_path() (logml.survival_analysis.handlers.cox.CoxArtifactsHandler method) backward_path_batch_p_value (logml.survival_analysis.extractors.cox.CoxSAParams attribute) backward_path_batch_size (logml.survival_analysis.extractors.cox.CoxSAParams attribute) backward_path_single_removal_threshold (logml.survival_analysis.extractors.cox.CoxSAParams attribute) BaseArtifact (class in logml.survival_analysis.artifacts.base) BaseBKNotebook (class in logml.report.notebooks.base) BaseClassificationMetric (class in logml.metrics.registry.classification) BaseDataset (class in logml.data.datasets.base) BaseDecisionTreeModel (class in logml.models.registry.tree_based) BaseDecompositionTransformer (class in logml.data.transformers.decomposition) BaseDummyModel (class in logml.models.registry.dummy) BaseEDAArtifactsProducer (class in logml.eda.artifacts_producers.base) BaseEligibleRegistrator (class in logml.common) BaseImportanceExtractor (class in logml.feature_importance.base) BaseLambdaTransformer (class in logml.data.transformers.lambdas) baseline_model (logml.configuration.modeling.ModelSearchSection attribute) (logml.model_search.common.ModelSelectionResult attribute) baseline_modeling (logml.configuration.report.MasterSummarySection attribute) BaseLinearClassifierModel (class in logml.models.registry.linear) BaseLinearModel (class in logml.models.registry.linear) baselinekit_section_enabled() (logml.configuration.global_config.GlobalConfig method) BaselinekitReportRunner (class in logml.report.report_runner) BaselineModelingNotebook (class in logml.report.notebooks.modeling) BaselineModelingSummaryView (class in logml.report.views.baseline_modeling) BaseMetric (class in logml.metrics.base) BaseModel (class in logml.models.base) BaseNeighborsModel (class in logml.models.registry.neighbors) BaseNormalizationTransformer (class in logml.data.transformers.normalization) BaseRegressionMetric (class in logml.metrics.registry.regression) BaseReportItem (class in logml.report.notebooks.base) BaseRunner (class in logml.common) BaseSAExtractor (class in logml.survival_analysis.extractors.base) BaseSAMethodsOutputStructure (class in logml.survival_analysis) BaseSMLinearModel (class in logml.models.registry.linear) BaseSVMModel (class in logml.models.registry.svm)

BaseTransformer (class in logml.data.base) BaseTreeEnsembleModel (class in logml.models.registry.tree_based) BernoulliNBClassifierModel (class in logml.models.registry.naive_bayes) best_cut_off (logml.survival_analysis.artifacts.optimal_cut_off.OptimalCutOffArtifact property) best_p_value_fdr (logml.survival_analysis.artifacts.optimal_cut_off.OptimalCutOffArtifact property) best_params (logml.model_search.hp_optimizer.HpoResult attribute) (logml.model_search.hp_optimizer.ModelHpoResult attribute) BinarizationLambdaTransformer (class in logml.data.transformers.lambdas) binarize() (in module logml.survival_analysis.optcutoff) BinaryEncodingTransformer (class in logml.data.transformers.encoding) BKNotebookExecutionStatus (class in logml.report.notebooks.base) BKNotebookScopes (class in logml.report.notebooks.base) BOOK_CFG (logml.report.ReportOutputStructure attribute) book_cfg_path (logml.report.ReportOutputStructure property) BOOK_TOC (logml.report.ReportOutputStructure attribute) book_toc_path (logml.report.ReportOutputStructure property) BOOL (logml.data.metadata.DtypeKind attribute) BSTRING (logml.data.metadata.DtypeKind attribute) bucketize_column() (logml.data.transformers.encoding.BucketizeTransformer static method) BucketizeTransformer (class in logml.data.transformers.encoding) buckets (logml.data.config.BucketizeTransformerParams attribute) build() (logml.survival_analysis.artifacts.base.BaseArtifact method) (logml.survival_analysis.artifacts.cox.CoxArtifact method) (logml.survival_analysis.artifacts.kaplan_meier.KaplanMeierArtifact method) (logml.survival_analysis.artifacts.optimal_cut_off.OptimalCutOffArtifact method) build_annotated_heapmap() (in module logml.report.plotters.baseline_modeling) build_averaged_fi_ranking_scatter() (in module logml.report.plotters.ui_elements) build_bootstrapping_result_plots() (in module logml.report.plotters.feature_importance) build_dendrogram() (in module logml.report.plotters.correlation) build_distance_matrix_heatmap() (in module logml.report.plotters.correlation) build_distributions_heatmap() (in module logml.report.plotters.distributions) build_distributions_heatmap_h() (in module logml.report.plotters.distributions) build_fi_rankings_heatmap() (in module logml.report.plotters.feature_importance) build_fi_rankings_heatmap_h() (in module logml.report.plotters.feature_importance) build_missing_data_matrix() (in module logml.report.plotters.missingness) build_scatter_plot() (in module logml.report.plotters.baseline_modeling)

C

calc_surival() (logml.feature_importance.sfd.FIDS method) calculate_concordance_index() (in module logml.metrics.registry.survival) calculate_corrected_variance_coef() (in module logml.eda.artifacts_producers.stats_summary) calculate_metrics() (in module logml.models.base) cals_shap_values() (logml.model_search.shap.ShapModelExplainer method) candidate_stable_features (logml.feature_importance.sfd.FIDSResult attribute) cast_params_to_int() (in module logml.models.base) catch_exception() (in module logml.common) categorical_columns (logml.eda.artifacts.metadata.DatasetMetadata attribute) categorical_features (logml.report.controllers.eda.EDAController property) categoricals_summary (logml.report.controllers.eda.EDAController property) CategoricalsSummaryView (class in logml.report.views.categoricals_summary) CategoricalSummary (class in logml.report.controllers.eda) CategoricalSummaryNotebook (class in logml.report.notebooks.eda) Cell (class in logml.report.views.cell) CG_FILE_NAME (logml.eda.EDAArtifactsOutputStructure attribute) cg_file_path (logml.eda.EDAArtifactsOutputStructure property) CG_FILE_TMPL (logml.data.DatasetsOutputStructure attribute) check_cell_conditions() (logml.report.notebooks.base.InjectionRemovePreprocessor method) check_normality() (in module logml.eda.artifacts_producers.stats_summary) check_random_state() (in module logml.common) check_significance() (logml.survival_analysis.artifacts.cox.CoxArtifact method) check_top_features() (logml.report.controllers.feature_importance.FeatureImportanceController method) check_vardict_mut_features() (logml.report.controllers.feature_importance.FeatureImportanceController method) children (logml.report.notebooks.base.BKNotebookMetadata attribute) CIndex (class in logml.metrics.registry.survival) class_name (logml.report.notebooks.base.BKNotebookMetadata attribute) clear_release_folder() (logml.report.packaging.ReleaseStructure method) CLF (logml.common.ModelingTask attribute) clone() (logml.configuration.base.YamlAdapter method) (logml.data.datasets.cv_dataset.ModelingDataset method) code() (in module logml.report.views) COLORMAP (logml.analysis.dag.PipelineDag attribute) column_name (logml.data.datasets.survival_dataset.UnivariateSurvivalContainer attribute) (logml.survival_analysis.artifacts.cox.CoxArtifact attribute) (logml.survival_analysis.artifacts.kaplan_meier.KaplanMeierArtifact attribute) (logml.survival_analysis.artifacts.optimal_cut_off.OptimalCutOffArtifact attribute) column_to_np() (in module logml.data.utils) COLUMNS_CATEGORIES (logml.eda.artifacts.metadata.DatasetMetadata attribute) columns_metadata (logml.configuration.modeling.DatasetMetadataSection attribute) columns_specs (logml.configuration.modeling.DatasetMetadataSection attribute) columns_to_exclude (logml.data.config.BaseTransformerParams attribute) columns_to_include (logml.data.config.BaseTransformerParams attribute) columns_to_indices() (logml.eda.artifacts.metadata.DatasetMetadata method) comment (logml.configuration.modeling.ColumnSpec attribute) common_params (logml.analysis.common.JobsSchedule attribute) compare_model_with_baseline() (in module logml.model_search.selection) complete_dataset (logml.eda.artifacts.missingness.MissingnessSummary attribute) complete_proba() (in module logml.models.base) COMPLEX (logml.data.metadata.DtypeKind attribute) CONFIG_CLASS (logml.data.base.BaseTransformer attribute) (logml.data.transformers.decomposition.BaseDecompositionTransformer attribute) (logml.data.transformers.encoding.BinaryEncodingTransformer attribute) (logml.data.transformers.encoding.BucketizeTransformer attribute) (logml.data.transformers.encoding.DateTimeEncodingTransformer attribute) (logml.data.transformers.encoding.DNAIndicatorsBinarizationTransformer attribute) (logml.data.transformers.encoding.LabelEncodingTransformer attribute) (logml.data.transformers.encoding.MapEncodingTransformer attribute) (logml.data.transformers.encoding.MultiLabelEncodingTransformer attribute) (logml.data.transformers.encoding.OneHotEncodingTransformer attribute) (logml.data.transformers.filtering.DNASubsetFilteringTransformer attribute) (logml.data.transformers.filtering.DropColumnsTransformer attribute) (logml.data.transformers.filtering.DropColumnsWithoutMutationsTransformer attribute) (logml.data.transformers.filtering.DropHighMutualInfoColumnsTransformer attribute) (logml.data.transformers.filtering.DropLowVarianceColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanRowsTransformer attribute) (logml.data.transformers.filtering.PrevalenceFilteringTransformer attribute) (logml.data.transformers.filtering.RemoveCorrelatedColumnsTransformer attribute) (logml.data.transformers.filtering.SelectColumnsTransformer attribute) (logml.data.transformers.imputation.MICEImputeTransformer attribute) (logml.data.transformers.imputation.SimpleImputeTransformer attribute) (logml.data.transformers.lambdas.BaseLambdaTransformer attribute) (logml.data.transformers.lambdas.BinarizationLambdaTransformer attribute) (logml.data.transformers.lambdas.QueryBooleanTransformer attribute) (logml.data.transformers.lambdas.ReplaceValueTransformer attribute) (logml.data.transformers.lambdas.ResolveMultipleChoiceTransformer attribute) (logml.data.transformers.metadata.SanitizeColumnsTransformer attribute) (logml.data.transformers.normalization.BaseNormalizationTransformer attribute) (logml.data.transformers.randomization.AddRandomColumnsTransformer attribute) (logml.data.transformers.randomization.ShuffleTransformer attribute) (logml.data.transformers.unbalanced_data.DownsamplingTransformer attribute) (logml.data.transformers.unbalanced_data.UpsamplingTransformer attribute) (logml.feature_importance.base.BaseImportanceExtractor attribute) (logml.feature_importance.extractors.model_interpret.ModelInterpretImportanceExtractor attribute) (logml.feature_importance.extractors.permutation.PermutationImportanceEli5Extractor attribute) (logml.survival_analysis.extractors.base.BaseSAExtractor attribute) (logml.survival_analysis.extractors.cox.CoxSAExtractor attribute) (logml.survival_analysis.extractors.kaplan_meier.KaplanMeierSAExtractor attribute) (logml.survival_analysis.extractors.optimal_cut_off.OptimalCutOffSAExtractor attribute)

CONFIG_DIR (logml.report.packaging.ReleaseStructure attribute) config_dir_path (logml.report.packaging.ReleaseStructure property) CONFIG_FILE (logml.report.packaging.ReleaseStructure attribute) constant (logml.data.config.FillNaTransformerParams attribute) contains() (logml.common.BaseEligibleRegistrator method) convert_value_to_float() (in module logml.data.transformers.lambdas) ConvertToFloatTransformer (class in logml.data.transformers.lambdas) copy_to() (logml.configuration.global_config.ConfigSources method) CORR_GROUP (logml.data.base.KnownFeatureProperties attribute) corr_groups_to_df() (logml.data.transformers.filtering.RemoveCorrelatedColumnsTransformer method) (logml.eda.artifacts.correlation.CorrelationSummary method) correlation_group_level_cutoff (logml.configuration.eda.EDAArtifactsGenerationParameters attribute) (logml.data.config.RemoveCorrelatedColumnsParams attribute) correlation_key_names (logml.configuration.eda.EDAArtifactsGenerationParameters attribute) (logml.data.config.RemoveCorrelatedColumnsParams attribute) correlation_min_samples_fraction (logml.configuration.eda.EDAArtifactsGenerationParameters attribute) (logml.data.config.RemoveCorrelatedColumnsParams attribute) correlation_threshold (logml.configuration.eda.EDAArtifactsGenerationParameters attribute) (logml.data.config.RemoveCorrelatedColumnsParams attribute) correlation_type (logml.configuration.eda.EDAArtifactsGenerationParameters attribute) (logml.data.config.RemoveCorrelatedColumnsParams attribute) CorrelationGraph (class in logml.eda.artifacts.correlation) CorrelationGroup (class in logml.eda.artifacts.correlation) CorrelationSummary (class in logml.eda.artifacts.correlation) CorrelationSummaryProducer (class in logml.eda.artifacts_producers.correlation) CorrelationType (class in logml.configuration.eda) covariate_p_value_threshold (logml.survival_analysis.extractors.cox.CoxSAParams attribute) cox_model_penalizer (logml.survival_analysis.extractors.cox.CoxSAParams attribute) cox_ph (logml.analysis.items.greedy_split.GreedySplitStrata attribute) CoxArtifact (class in logml.survival_analysis.artifacts.cox) CoxArtifactsHandler (class in logml.survival_analysis.handlers.cox) CoxLassoModel (class in logml.models.registry.survival) CoxNetModel (class in logml.models.registry.survival) CoxRidgeModel (class in logml.models.registry.survival) CoxSAExtractor (class in logml.survival_analysis.extractors.cox) CoxSAOutputStructure (class in logml.survival_analysis) cpu (logml.analysis.common.JobResourcesReqs attribute) create_analysis_item() (in module logml.analysis.runner) create_artifacts() (logml.survival_analysis.handlers.kaplan_meier.KMArtifactsHandler method) (logml.survival_analysis.handlers.optimal_cut_off.OCArtifactsHander method) create_correlation_graph() (in module logml.eda.artifacts_producers.correlation) create_correlation_graph_nx() (in module logml.eda.artifacts_producers.correlation) create_cv_generator() (in module logml.data.cross_validation) create_explainer() (logml.model_search.shap.ShapExplainable method) create_failed_result() (logml.model_search.hp_optimizer.TrialResults static method) create_figure() (in module logml.survival_analysis.artifacts.viz) create_fmin() (in module logml.model_search.hp_optimizer) create_hist_features() (in module logml.eda.artifacts_producers.distributions) create_hopt_space() (in module logml.model_search.hp_optimizer) create_jobs_schedule() (logml.analysis.dag.PipelineDag method) create_model_instance() (logml.model_search.provider.ModelProvider method) create_mp_step_process() (in module logml.analysis.main) create_shap_explainer() (in module logml.model_search.shap) create_volcano_plot() (in module logml.report.plotters.gsa) cross_strata_fi_summary (logml.configuration.report.ReportStructure attribute) cross_validation (logml.configuration.modeling.FeatureImportanceSection attribute) (logml.configuration.modeling.ModelingSection attribute) (logml.configuration.modeling.ModelSearchSection attribute) CrossStrataFIComparisonView (class in logml.report.views.fi_cross_strata_comparison) CrossStrataFIController (class in logml.report.controllers.feature_importance) CrossStrataFINotebook (class in logml.report.notebooks.modeling) CrossValidationMixin (class in logml.data.datasets.base) CUSTOM_TEMPLATES (logml.report.ReportOutputStructure attribute) CustomNotebook (class in logml.report.notebooks.base) cv_dataframe (logml.data.datasets.base.CrossValidationMixin property) (logml.data.datasets.cv_dataset.ModelingDataset property) cv_features (logml.data.datasets.base.CrossValidationMixin property) (logml.data.datasets.cv_dataset.ModelingDataset property) cv_targets (logml.data.datasets.base.CrossValidationMixin property) (logml.data.datasets.cv_dataset.ModelingDataset property) CVDatasetException CVMetricsResult (class in logml.models.base) CVSplitType (class in logml.configuration.cross_validation)

D

dag (logml.analysis.dag.DagResult attribute) DAG_CONFIG_FILENAME (logml.analysis.common.DagOutputStructure attribute) DAG_IMAGE_FILENAME (logml.analysis.common.DagOutputStructure attribute) DAG_SHEDULE_FILENAME (logml.analysis.common.DagOutputStructure attribute) DAG_STATUS_FILENAME (logml.analysis.common.DagOutputStructure attribute) DagOutputStructure (class in logml.analysis.common) DagResult (class in logml.analysis.dag) data (logml.analysis.items.data_transform.DataTransformerResult attribute) (logml.model_search.shap.ShapExplainerState attribute) DATA_FOLDER (logml.analysis.common.DagOutputStructure attribute) data_preprocessing (logml.analysis.items.data_transform.DataTransformerConfig attribute) data_type (logml.configuration.modeling.ColumnMetadataConfig attribute) dataframe (logml.data.datasets.base.BaseDataset property) (logml.report.controllers.feature_importance.FeatureImportanceController property) (logml.report.controllers.feature_importance.FIDSController property) DATASET (logml.eda.EDAArtifactsOutputStructure attribute) dataset (logml.model_search.shap.ShapExplainerContext attribute) dataset_columns (logml.eda.artifacts.metadata.DatasetMetadata attribute) dataset_filename (logml.model_search.common.ModelSelectionResult attribute) dataset_hash (logml.model_search.common.ModelSelectionResult attribute) dataset_metadata (logml.analysis.items.data_transform.DataTransformerConfig attribute) (logml.configuration.global_config.GlobalConfig attribute) DATASET_METADATA_NAME (logml.eda.EDAArtifactsOutputStructure attribute) dataset_n (logml.analysis.items.modeling.ExtractFeatureImportanceStepConfig attribute) DATASET_NAME (logml.eda.EDAArtifactsOutputStructure attribute) dataset_preprocessing (logml.configuration.eda.EDAArtifactsGenerationSection attribute) (logml.configuration.modeling.ModelingSetup attribute) (logml.configuration.survival_analysis.SurvivalAnalysisSetup attribute) dataset_type (logml.analysis.items.data_transform.DataTransformerConfig attribute) DatasetGenerator (class in logml.data.generators) DatasetMetadata (class in logml.data.metadata) (class in logml.eda.artifacts.metadata) DatasetOverviewView (class in logml.report.views.dataset_overview) DATASETS (logml.data.DatasetsOutputStructure attribute) DatasetsManager (class in logml.data.manager) DatasetsOutputStructure (class in logml.data) DataTransformer (class in logml.analysis.items.data_transform) DataTransformerResult (class in logml.analysis.items.data_transform) DATETIME (logml.data.metadata.DtypeKind attribute) DateTimeEncodingTransformer (class in logml.data.transformers.encoding) DecisionTreeClassifierModel (class in logml.models.registry.tree_based) DecisionTreeRegressorModel (class in logml.models.registry.tree_based) decorate() (logml.stopwatch.Stopwatch method) default() (logml.serialization.LogmlJSONEncoder method) default_extractor (logml.configuration.modeling.FeatureImportanceSection attribute) default_n_perm_imp_iters (logml.configuration.modeling.FeatureImportanceSection attribute) DEFAULT_PARAMS (logml.data.transformers.encoding.BinaryEncodingTransformer attribute) (logml.data.transformers.encoding.OneHotEncodingTransformer attribute) (logml.data.transformers.metadata.SanitizeColumnsTransformer attribute) (logml.models.base.BaseModel attribute) (logml.models.registry.dummy.DummyClassifierModel attribute) (logml.models.registry.dummy.DummyRegressorModel attribute) (logml.models.registry.dummy.DummySurvivalModel attribute) (logml.models.registry.linear.ElasticNetModel attribute) (logml.models.registry.linear.LassoLarsAICModel attribute) (logml.models.registry.linear.LassoLarsBICModel attribute) (logml.models.registry.linear.LassoModel attribute) (logml.models.registry.linear.LogisticRegressionModel attribute) (logml.models.registry.linear.RidgeModel attribute) (logml.models.registry.naive_bayes.BernoulliNBClassifierModel attribute) (logml.models.registry.neighbors.KNeighborsClassifierModel attribute) (logml.models.registry.neighbors.KNeighborsRegressorModel attribute) (logml.models.registry.survival.CoxLassoModel attribute) (logml.models.registry.survival.CoxNetModel attribute) (logml.models.registry.survival.CoxRidgeModel attribute) (logml.models.registry.survival.GradientBoostingSAModel attribute) (logml.models.registry.survival.IPCRidgeModel attribute) (logml.models.registry.survival.RandomSurvivalForestModel attribute) (logml.models.registry.survival.SurvivalHingeLossSVMModel attribute) (logml.models.registry.survival.SurvivalKernelSVMModel attribute) (logml.models.registry.survival.SurvivalMinlipSVMModel attribute) (logml.models.registry.survival.SurvivalNaiveSVMModel attribute) (logml.models.registry.survival.SurvivalSVMModel attribute) (logml.models.registry.svm.LinearSVCClassifierModel attribute) (logml.models.registry.svm.SVCClassifierModel attribute) (logml.models.registry.svm.SVRClassifierModel attribute) (logml.models.registry.tree_based.DecisionTreeClassifierModel attribute) (logml.models.registry.tree_based.DecisionTreeRegressorModel attribute) (logml.models.registry.tree_based.ExtraTreesClassifierModel attribute) (logml.models.registry.tree_based.ExtraTreesRegressorModel attribute) (logml.models.registry.tree_based.GradientBoostingClassifierModel attribute) (logml.models.registry.tree_based.GradientBoostingRegressorModel attribute) (logml.models.registry.tree_based.LightGbmBaseModel attribute) (logml.models.registry.tree_based.RandomForestClassifierModel attribute) (logml.models.registry.tree_based.RandomForestRegressorModel attribute)

DELIM (logml.data.transformers.metadata.SanitizeColumnsTransformer attribute) delimeter (logml.data.config.ResolveMultipleChoiceTransformerParams attribute) DELIMETER (logml.model_search.ModelSearchOutputStructure attribute) DEPENDENCIES (logml.eda.artifacts_producers.base.BaseEDAArtifactsProducer attribute) (logml.eda.artifacts_producers.correlation.CorrelationSummaryProducer attribute) (logml.eda.artifacts_producers.dimensionality_reduction.DimensionalityReductionSummaryProducer attribute) (logml.eda.artifacts_producers.distributions.DistributionsSummaryProducer attribute) (logml.eda.artifacts_producers.metadata.MetadataProducer attribute) (logml.eda.artifacts_producers.missingness.MissingnessSummaryProducer attribute) (logml.eda.artifacts_producers.stats_summary.StatisticsSummaryProducer attribute) DEPENDENCY_FAILED (logml.analysis.common.JobStatus attribute) depends_on (logml.analysis.common.JobDefinition attribute) (logml.analysis.config.PipelineItemConfig attribute) describe_analysis() (logml.report.controllers.greedy_split.GreedySplitViewController method) describe_column() (in module logml.eda.artifacts_producers.stats_summary) describe_dag_state() (in module logml.analysis.main) description (logml.configuration.modeling.ColumnMetadataConfig attribute) dest_path (logml.analysis.base_item.ReleasePath attribute) df (logml.data.pipeline.PreprocessingDebugStep attribute) dict() (logml.analysis.base_item.AnalysisResult method) (logml.analysis.common.JobResult method) (logml.configuration.eda.EDAArtifactsGenerationParameters method) dim_reduction_artifact_exists() (logml.report.controllers.eda.EDAController method) DimensionalityReduction (class in logml.eda.artifacts.dimensionality_reduction) DimensionalityReductionNotebook (class in logml.report.notebooks.eda) DimensionalityReductionSummaryProducer (class in logml.eda.artifacts_producers.dimensionality_reduction) DimensionalityReductionSummaryView (class in logml.report.views.dimensionality_reduction) disable() (logml.stopwatch.Stopwatch method) discretize_values() (logml.data.datasets.survival_dataset.UnivariateSurvivalContainer method) display_fds_features_plots() (in module logml.feature_importance.sfd) display_fds_result() (in module logml.feature_importance.sfd) display_feature_evidense() (in module logml.feature_importance.sfd) display_modeling_info() (logml.report.controllers.baseline_modeling.ModelSelectionController method) display_pdp_plot() (in module logml.feature_importance.sfd) display_rank_composition() (in module logml.feature_importance.sfd) display_ranks_plot() (in module logml.feature_importance.sfd) display_split_details() (logml.report.controllers.greedy_split.GreedySplitViewController method) display_summary_df() (logml.report.controllers.greedy_split.GreedySplitViewController method) DistributionsSummary (class in logml.eda.artifacts.distributions) DistributionsSummaryNotebook (class in logml.report.notebooks.eda) DistributionsSummaryProducer (class in logml.eda.artifacts_producers.distributions) DistributionsSummaryView (class in logml.report.views.distributions) DNAIndicatorsBinarizationTransformer (class in logml.data.transformers.encoding) DNASubsetFilteringTransformer (class in logml.data.transformers.filtering) DownsamplingTransformer (class in logml.data.transformers.unbalanced_data) drop() (logml.data.datasets.cv_dataset.ModelingDataset method) drop_datetime_columns (logml.configuration.modeling.DatasetPreprocessingPresetSection attribute) drop_dna_wt (logml.configuration.modeling.DatasetPreprocessingPresetSection attribute) DropColumnsTransformer (class in logml.data.transformers.filtering) DropColumnsWithoutMutationsTransformer (class in logml.data.transformers.filtering) DropHighMutualInfoColumnsTransformer (class in logml.data.transformers.filtering) DropLowVarianceColumnsTransformer (class in logml.data.transformers.filtering) DropNaMode (class in logml.data.config) DropNanColumnsTransformer (class in logml.data.transformers.filtering) DropNanRowsTransformer (class in logml.data.transformers.filtering) dtype (logml.data.metadata.ColumnMetadata attribute) DtypeKind (class in logml.data.metadata) dtypes_to_include (logml.data.config.DropColumnsTransformerParams attribute) DummyClassifierModel (class in logml.models.registry.dummy) DummyRegressorModel (class in logml.models.registry.dummy) DummySurvivalEstimator (class in logml.models.registry.dummy) DummySurvivalModel (class in logml.models.registry.dummy) dump() (logml.data.datasets.base.BaseDataset method) (logml.feature_importance.sfd.FIDSEnv method) (logml.survival_analysis.artifacts.base.BaseArtifact method) dump_artifacts() (logml.survival_analysis.handlers.cox.CoxArtifactsHandler method) (logml.survival_analysis.handlers.kaplan_meier.KMArtifactsHandler method) (logml.survival_analysis.handlers.optimal_cut_off.OCArtifactsHander method) dump_dataset() (logml.data.manager.DatasetsManager method) dump_debug_data() (logml.data.manager.DatasetsManager method) dump_json() (in module logml.serialization) dump_metadata() (logml.analysis.base_item.AnalysisItem method) dump_model_hpo_result() (logml.model_search.provider.ModelProvider method) dump_model_result() (logml.model_search.provider.ModelProvider method) dump_pickle() (in module logml.serialization) dump_raw_extractor (logml.configuration.modeling.FeatureImportanceMethod attribute) dump_result() (logml.analysis.base_item.AnalysisItem method) dump_selection_result() (logml.model_search.provider.ModelProvider method) dump_summary() (logml.stopwatch.Stopwatch method) dump_yaml() (in module logml.serialization) duration (logml.analysis.common.JobResult attribute)

E

eda (logml.configuration.global_config.GlobalConfig attribute) (logml.configuration.report.MasterSummarySection attribute) (logml.configuration.report.ReportStructure attribute) EDA_ROOT (logml.eda.EDAArtifactsOutputStructure attribute) EDAArtifactsGenerationRunner (class in logml.eda.runner) EDAArtifactsManager (class in logml.eda.manager) EDAArtifactsOutputStructure (class in logml.eda) EDAController (class in logml.report.controllers.eda) EDANotebooksSet (class in logml.report.notebooks.eda) EdaStep (class in logml.analysis.items.modeling) ElasticNetModel (class in logml.models.registry.linear) EligibleAnalysisItems (class in logml.analysis.items) EligibleBaselineKitNotebooks (class in logml.report.notebooks) EligibleBaselineKitViews (class in logml.report.views) EligibleEDAArtifacts (class in logml.eda.artifacts.utils) EligibleEDAArtifactsProducers (class in logml.eda.artifacts_producers.utils) EligibleFIExtractors (class in logml.feature_importance.extractors) EligibleMetrics (class in logml.metrics.registry) EligibleModels (class in logml.models.registry) EligibleSAExtractors (class in logml.survival_analysis.extractors.utils) EligibleSAMethodsOutputStructures (class in logml.survival_analysis) EligibleTransformers (class in logml.data.transformers.utils) enable (logml.analysis.config.AnalysisPipelineConfig attribute) (logml.analysis.config.PipelineItemConfig attribute) (logml.configuration.eda.EDAArtifactSection attribute) (logml.configuration.eda.EDAArtifactsGenerationSection attribute) (logml.configuration.modeling.DatasetPreprocessingPresetSection attribute) (logml.configuration.modeling.DatasetPreprocessingSection attribute) (logml.configuration.modeling.FeatureImportanceMethod attribute) (logml.configuration.modeling.FeatureImportanceSection attribute) (logml.configuration.modeling.ModelingPresetConfiguration attribute) (logml.configuration.modeling.ModelingSection attribute) (logml.configuration.modeling.ModelingSetup attribute) (logml.configuration.modeling.ModelSearchSection attribute) (logml.configuration.modeling.PreprocessingStep attribute) (logml.configuration.report.MasterSummarySection attribute) (logml.configuration.report.ReportSection attribute) (logml.configuration.survival_analysis.SurvivalAnalysisMethod attribute) (logml.configuration.survival_analysis.SurvivalAnalysisSection attribute) (logml.configuration.survival_analysis.SurvivalAnalysisSetup attribute) enable() (logml.stopwatch.Stopwatch method) enabled (logml.stopwatch.Stopwatch property) encoding (logml.data.config.CategoricalsEncodingTransformerParams attribute) ENCODING (logml.data.transformers.encoding.BinaryEncodingTransformer attribute) (logml.data.transformers.encoding.LabelEncodingTransformer attribute) (logml.data.transformers.encoding.MultiLabelEncodingTransformer attribute) (logml.data.transformers.encoding.OneHotEncodingTransformer attribute) end_time (logml.analysis.common.JobResult attribute) entropy() (in module logml.feature_importance.sfd) error (logml.analysis.common.JobResult attribute) (logml.model_search.common.ModelEvaluationData attribute) errors (logml.models.base.MetricsResult attribute) estimate_data_size() (in module logml.analysis.main)

estimate_resources() (logml.analysis.base_item.AnalysisItem class method) (logml.analysis.items.greedy_split.GreedySplitSurvivalAnalysis class method) (logml.analysis.items.modeling.EdaStep class method) (logml.analysis.items.modeling.ExtractFeatureImportanceStep class method) (logml.analysis.items.modeling.GenerateReportStep class method) (logml.analysis.items.modeling.ModelingTransformer class method) (logml.analysis.items.modeling.TrainModelStep class method) ESTIMATOR (logml.data.transformers.filtering.DropHighMutualInfoColumnsTransformer attribute) estimator (logml.model_search.shap.ShapExplainerContext attribute) (logml.model_search.shap.ShapExplainerState attribute) evaluate() (logml.models.base.BaseModel method) evaluate_fold() (logml.models.base.BaseModel method) evaluate_tuned_models() (logml.report.controllers.baseline_modeling.ModelSelectionController method) event_column (logml.analysis.items.greedy_split.GreedySplitAnalysisConfig attribute) (logml.configuration.modeling.ModelingTaskSpec attribute) (logml.configuration.modeling.SurvivalTimeSpec attribute) (logml.configuration.survival_analysis.SurvivalAnalysisSetup attribute) (logml.data.datasets.survival_dataset.SurvivalDataset property) (logml.feature_importance.sfd.FIDSResult property) event_observed (logml.configuration.survival_analysis.SurvivalAnalysisSetup attribute) event_query (logml.analysis.items.greedy_split.GreedySplitAnalysisConfig attribute) (logml.configuration.modeling.ModelingTaskSpec attribute) (logml.configuration.modeling.SurvivalTimeSpec attribute) (logml.data.datasets.survival_dataset.SurvivalDataset property) events (logml.data.datasets.survival_dataset.UnivariateSurvivalContainer attribute) exc (logml.data.pipeline.PreprocessingDebugStep attribute) execute_analysis_dag() (in module logml.analysis.main) execute_analysis_dag_parallel() (in module logml.analysis.main) execute_analysis_dag_sequential() (in module logml.analysis.main) execute_analysis_dag_step() (in module logml.analysis.main) execute_custom_notebooks() (logml.report.notebooks_generation_runner.NotebooksGenerationRunner method) executed_notebook_path (logml.report.notebooks.base.BKNotebookMetadata attribute) execution_status (logml.report.notebooks.base.BKNotebookMetadata attribute) expand_preset() (logml.configuration.modeling.ModelingSetup class method) expand_preset_steps() (logml.configuration.modeling.ModelingSetup class method) expand_regex() (logml.data.metadata.DatasetMetadata method) explainer (logml.model_search.shap.ShapExplainerState attribute) explainer_invoke_params (logml.model_search.shap.ShapExplainerState attribute) EXPLANATIONS_DUMP_FILENAME (logml.feature_importance.extractors.model_interpret.ModelInterpretImportanceExtractor attribute) extract() (logml.model_search.hp_optimizer.TrialResults static method) extract_cut_offs() (logml.survival_analysis.handlers.optimal_cut_off.OCArtifactsHander method) extract_feature_importance() (logml.feature_importance.base.BaseImportanceExtractor method) extract_model_feature_importance() (logml.feature_importance.base.BaseImportanceExtractor method) (logml.feature_importance.extractors.model_based.ModelBasedImportanceExtractor method) (logml.feature_importance.extractors.model_interpret.ModelInterpretImportanceExtractor method) (logml.feature_importance.extractors.permutation.PermutationImportanceEli5Extractor method) extract_survival_data() (in module logml.feature_importance.sfd) ExtractFeatureImportanceStep (class in logml.analysis.items.modeling) extractor_id (logml.configuration.modeling.FeatureImportanceMethod attribute) extractors (logml.configuration.modeling.FeatureImportanceSection attribute) EXTRACTORS_DUMP_FOLDER (logml.feature_importance.FeatureImportanceOutputStructure attribute) ExtraTreesClassifierModel (class in logml.models.registry.tree_based) ExtraTreesRegressorModel (class in logml.models.registry.tree_based)

F

F1Score (class in logml.metrics.registry.classification) F_MODEL (logml.models.base.BaseModel attribute) (logml.models.registry.dummy.DummyClassifierModel attribute) (logml.models.registry.dummy.DummyRegressorModel attribute) (logml.models.registry.dummy.DummySurvivalModel attribute) (logml.models.registry.linear.ElasticNetModel attribute) (logml.models.registry.linear.LassoLarsAICModel attribute) (logml.models.registry.linear.LassoLarsBICModel attribute) (logml.models.registry.linear.LassoModel attribute) (logml.models.registry.linear.LogisticRegressionModel attribute) (logml.models.registry.linear.RidgeModel attribute) (logml.models.registry.naive_bayes.BernoulliNBClassifierModel attribute) (logml.models.registry.neighbors.KNeighborsClassifierModel attribute) (logml.models.registry.neighbors.KNeighborsRegressorModel attribute) (logml.models.registry.survival.CoxNetModel attribute) (logml.models.registry.survival.GradientBoostingSAModel attribute) (logml.models.registry.survival.IPCRidgeModel attribute) (logml.models.registry.survival.RandomSurvivalForestModel attribute) (logml.models.registry.survival.SurvivalHingeLossSVMModel attribute) (logml.models.registry.survival.SurvivalKernelSVMModel attribute) (logml.models.registry.survival.SurvivalMinlipSVMModel attribute) (logml.models.registry.survival.SurvivalNaiveSVMModel attribute) (logml.models.registry.survival.SurvivalSVMModel attribute) (logml.models.registry.svm.LinearSVCClassifierModel attribute) (logml.models.registry.svm.SVCClassifierModel attribute) (logml.models.registry.svm.SVRClassifierModel attribute) (logml.models.registry.tree_based.DecisionTreeClassifierModel attribute) (logml.models.registry.tree_based.DecisionTreeRegressorModel attribute) (logml.models.registry.tree_based.ExtraTreesClassifierModel attribute) (logml.models.registry.tree_based.ExtraTreesRegressorModel attribute) (logml.models.registry.tree_based.GradientBoostingClassifierModel attribute) (logml.models.registry.tree_based.GradientBoostingRegressorModel attribute) (logml.models.registry.tree_based.LightGbmClassifierModel attribute) (logml.models.registry.tree_based.LightGbmRegressorModel attribute) (logml.models.registry.tree_based.RandomForestClassifierModel attribute) (logml.models.registry.tree_based.RandomForestRegressorModel attribute) FacetsDiveNotebook (class in logml.report.notebooks.eda) FacetsDiveView (class in logml.report.views.facets_dive) FAILED (logml.analysis.common.JobStatus attribute) (logml.model_search.common.ModelHpoStatus attribute) FAILURE (logml.report.notebooks.base.BKNotebookExecutionStatus attribute) fallback_model (logml.configuration.modeling.FeatureImportanceMethod attribute) FE_MODEL_ATTRIBUTE (logml.models.base.BaseModel attribute) (logml.models.registry.dummy.BaseDummyModel attribute) (logml.models.registry.linear.BaseSMLinearModel attribute) (logml.models.registry.naive_bayes.BernoulliNBClassifierModel attribute) (logml.models.registry.neighbors.BaseNeighborsModel attribute) (logml.models.registry.survival.CoxNetModel attribute) (logml.models.registry.survival.GradientBoostingSAModel attribute) (logml.models.registry.survival.IPCRidgeModel attribute) (logml.models.registry.survival.RandomSurvivalForestModel attribute) (logml.models.registry.survival.SurvivalHingeLossSVMModel attribute) (logml.models.registry.survival.SurvivalKernelSVMModel attribute) (logml.models.registry.survival.SurvivalMinlipSVMModel attribute) (logml.models.registry.survival.SurvivalNaiveSVMModel attribute) (logml.models.registry.survival.SurvivalSVMModel attribute) (logml.models.registry.svm.BaseSVMModel attribute) (logml.models.registry.svm.LinearSVCClassifierModel attribute) (logml.models.registry.tree_based.BaseDecisionTreeModel attribute) (logml.models.registry.tree_based.BaseTreeEnsembleModel attribute) FEATURE_CORRELATION_GROUP (logml.feature_importance.sfd.FIDSRunner attribute) feature_importance (logml.configuration.modeling.ModelingSetup attribute) (logml.configuration.report.MasterSummarySection attribute) FEATURE_IMPORTANCE (logml.feature_importance.FeatureImportanceOutputStructure attribute) feature_importance_path (logml.report.packaging.ReleaseStructure property) FEATURE_SOURCE (logml.feature_importance.sfd.FIDSRunner attribute) FeatureImportanceController (class in logml.report.controllers.feature_importance) FeatureImportanceNotebook (class in logml.report.notebooks.modeling) FeatureImportanceOutputStructure (class in logml.feature_importance) FeatureImportanceSummaryView (class in logml.report.views.feature_importance) FeatureRankingResult (class in logml.report.controllers.report_summary)

features (logml.analysis.items.greedy_split.GreedySplitAnalysisConfig attribute) (logml.data.datasets.cv_dataset.ModelingDataset property) (logml.feature_importance.sfd.FIDSModelResult attribute) (logml.feature_importance.sfd.FIDSummaryResult attribute) features_list (logml.configuration.modeling.DatasetPreprocessingPresetSection attribute) (logml.configuration.modeling.ModelingPresetConfiguration attribute) features_stats (logml.eda.artifacts.stats_summary.StatisticsSummary attribute) FI_SUMMARY (logml.feature_importance.FeatureImportanceOutputStructure attribute) fi_summary (logml.feature_importance.sfd.TrialResult attribute) (logml.report.controllers.report_summary.FeatureRankingResult attribute) FI_SUMMARY_JSON (logml.feature_importance.FeatureImportanceOutputStructure attribute) fid_pvalue_threshold (logml.configuration.modeling.FeatureImportanceSection attribute) FIDS (class in logml.feature_importance.sfd) FIDSController (class in logml.report.controllers.feature_importance) FIDSEnv (class in logml.feature_importance.sfd) FIDSResult (class in logml.feature_importance.sfd) FIDSRunner (class in logml.feature_importance.sfd) FIExtractorException FILE log_ml.py-config-validate command line option FILE_NAME (logml.report.notebooks.master_summary.ReportSummaryNotebook attribute) fill_from_dataframe() (logml.data.metadata.DatasetMetadata method) fill_from_mct_config() (logml.data.metadata.DatasetMetadata method) fill_value (logml.data.transformers.imputation.SimpleImputerParams attribute) filter_by_group() (in module logml.data.utils) filter_by_keyword() (in module logml.data.utils) filter_columns() (in module logml.data.utils) (in module logml.eda.artifacts_producers.metadata) filter_columns2() (in module logml.data.utils) filter_params_for_reader() (in module logml.data.readers) filter_ranks_df() (in module logml.report.plotters.feature_importance) FINAL_COX_MODEL (logml.survival_analysis.CoxSAOutputStructure attribute) final_model (logml.models.base.BaseModel property) FindGeneSet (class in logml.analysis.items.greedy_split) fis (logml.feature_importance.sfd.TrialResult attribute) fit() (logml.data.base.BaseTransformer method) (logml.data.transformers.decomposition.BaseDecompositionTransformer method) (logml.data.transformers.encoding.BinaryEncodingTransformer method) (logml.data.transformers.encoding.DateTimeEncodingTransformer method) (logml.data.transformers.encoding.LabelEncodingTransformer method) (logml.data.transformers.encoding.MultiLabelEncodingTransformer method) (logml.data.transformers.encoding.OneHotEncodingTransformer method) (logml.data.transformers.filtering.DropColumnsTransformer method) (logml.data.transformers.filtering.DropColumnsWithoutMutationsTransformer method) (logml.data.transformers.filtering.DropHighMutualInfoColumnsTransformer method) (logml.data.transformers.filtering.DropLowVarianceColumnsTransformer method) (logml.data.transformers.filtering.DropNanColumnsTransformer method) (logml.data.transformers.filtering.PrevalenceFilteringTransformer method) (logml.data.transformers.filtering.RemoveCorrelatedColumnsTransformer method) (logml.data.transformers.imputation.MICEImputeTransformer method) (logml.data.transformers.imputation.SimpleImputeTransformer method) (logml.data.transformers.lambdas.QueryBooleanTransformer method) (logml.data.transformers.metadata.SanitizeColumnsTransformer method) (logml.data.transformers.normalization.BaseNormalizationTransformer method) (logml.data.transformers.randomization.ShuffleTransformer method) (logml.feature_importance.sfd.FIDS method) (logml.models.base.BaseModel method) (logml.models.registry.dummy.DummySurvivalEstimator method) (logml.models.registry.linear.BaseSMLinearModel method) (logml.models.registry.tree_based.LightGbmBaseModel method) (logml.survival_analysis.optcutoff.SAOptimalCutoff method) fit_fold_model() (logml.models.registry.linear.BaseSMLinearModel method) fit_success (logml.model_search.common.ModelEvaluationData attribute) fit_transform() (logml.data.pipeline.PreprocessingPipeline method) flatten_errors() (in module logml.configuration.global_config) FLOAT (logml.data.metadata.DtypeKind attribute) format_validation_error() (in module logml.configuration.global_config) forward_path() (logml.survival_analysis.handlers.cox.CoxArtifactsHandler method) fraction (logml.data.config.AddRandomColumnsTransformerParams attribute) from_config() (logml.analysis.dag.PipelineDag class method) from_dict() (logml.model_search.common.ModelSelectionResult static method) from_target_spec() (logml.configuration.modeling.ModelingTaskSpec static method)

G

generate() (logml.report.notebooks.base.BaseReportItem method) (logml.report.notebooks.base.NotebooksSet method) (logml.report.toc_generation.TOCGenerator method) generate_analysis_dag() (in module logml.analysis.main) generate_analysis_metadata() (logml.analysis.base_item.AnalysisItem method) (logml.analysis.items.greedy_split.GreedySplitSurvivalAnalysis method) (logml.analysis.items.modeling.AggregateFeatureImportanceStep method) (logml.analysis.items.modeling.SurvivalAnalysisStep method) generate_analysis_result() (logml.analysis.items.modeling.AggregateFeatureImportanceStep method) (logml.analysis.items.modeling.SurvivalAnalysisStep method) generate_buttons() (in module logml.report.plotters.feature_importance) generate_corr_groups() (in module logml.eda.artifacts_producers.correlation) generate_dag_steps() (in module logml.analysis.converter) generate_dataset() (logml.data.manager.DatasetsManager method) generate_datasets() (logml.data.manager.DatasetsManager method) generate_debug_notebooks() (logml.report.notebooks_generation_runner.NotebooksGenerationRunner method) generate_global_summary (logml.configuration.modeling.FeatureImportanceWorkflow attribute) generate_html() (logml.report.notebooks.master_summary.StandaloneSummaryPage method) generate_intermediate_results (logml.configuration.modeling.FeatureImportanceWorkflow attribute) generate_notebooks() (logml.report.notebooks_generation_runner.NotebooksGenerationRunner method) generate_preprocessing_preset_steps() (in module logml.data.presets) generate_random_state() (logml.configuration.global_config.GlobalConfig method) generate_report (logml.configuration.report.BaselineKitWorkflowSection attribute) generate_report() (logml.analysis.dag.DagResult method) generate_report_summary() (logml.report.notebooks_generation_runner.NotebooksGenerationRunner method) generate_sa_dataset_for_cox() (in module logml.data.generators) generate_similarity_table() (in module logml.report.controllers.feature_importance) generate_survival_analysis_dataset() (in module logml.data.generators) generate_topic_content() (logml.report.notebooks.base.NotebooksSet method) (logml.report.notebooks.eda.EDANotebooksSet method) (logml.report.notebooks.modeling.ModelingNotebooksSet method) GENERATED_REPORT (logml.report.ReportOutputStructure attribute) GenerateReportStep (class in logml.analysis.items.modeling) get() (logml.common.BaseEligibleRegistrator method) get_affected_categorical_columns() (in module logml.data.transformers.utils) get_affected_columns() (logml.data.base.BaseTransformer method) (logml.data.transformers.filtering.DropHighMutualInfoColumnsTransformer method) get_affected_numerical_columns() (in module logml.data.transformers.utils) get_aggregated_artifacts_path() (logml.feature_importance.FeatureImportanceOutputStructure method) get_all_dependencies() (logml.analysis.dag.PipelineDag method) get_all_special_names() (logml.data.metadata.DatasetMetadata method) get_analysis_item_path() (logml.report.packaging.ReleaseStructure method) get_best_cut_offs() (logml.survival_analysis.handlers.optimal_cut_off.OCArtifactsHander method) get_best_p_values_fdr() (logml.survival_analysis.handlers.optimal_cut_off.OCArtifactsHander method) get_bootstrapped_models() (logml.report.controllers.feature_importance.FeatureImportanceController method) get_cardinality() (logml.report.controllers.eda.CategoricalSummary static method) get_categorical_columns() (in module logml.eda.artifacts_producers.metadata) (logml.data.metadata.DatasetMetadata method) get_cells() (logml.report.views.baseline_modeling.BaselineModelingSummaryView method) (logml.report.views.categoricals_summary.CategoricalsSummaryView method) (logml.report.views.dataset_overview.DatasetOverviewView method) (logml.report.views.diagnostics.ReportDiagnosticsView method) (logml.report.views.dimensionality_reduction.DimensionalityReductionSummaryView method) (logml.report.views.distributions.DistributionsSummaryView method) (logml.report.views.facets_dive.FacetsDiveView method) (logml.report.views.feature_importance.FeatureImportanceSummaryView method) (logml.report.views.fi_cross_strata_comparison.CrossStrataFIComparisonView method) (logml.report.views.greedy_split.GreedySplitSurvivalView method) (logml.report.views.master_summary.MasterSummaryView method) (logml.report.views.master_summary.StandaloneSummaryView method) (logml.report.views.missingness.MissingnessSummaryView method) (logml.report.views.statistics.StatisticsSummaryView method) (logml.report.views.survival_analysis.SurvivalAnalysisView method) get_column_md() (logml.data.metadata.DatasetMetadata method) get_column_opt_cutoff() (in module logml.survival_analysis.optcutoff) get_columns_by_category() (logml.eda.artifacts.metadata.DatasetMetadata method) get_columns_by_dtype() (logml.data.metadata.DatasetMetadata method) get_columns_opt_cutoff() (in module logml.survival_analysis.optcutoff) get_complete_dateset_summary() (in module logml.eda.artifacts_producers.missingness) get_configured_models() (logml.model_search.provider.ModelProvider method) get_corr_groups() (logml.data.pipeline.PreprocessingPipeline method) get_correlated_cols() (in module logml.feature_importance.sfd) get_correlation_groups() (in module logml.eda.artifacts_producers.correlation) get_correlation_groups_nx() (in module logml.eda.artifacts_producers.correlation) get_cox_history() (logml.report.controllers.survival_analysis.SurvivalAnalysisController method) get_custom_stats_summary() (in module logml.eda.artifacts_producers.stats_summary) get_custom_template_path() (logml.report.notebooks.base.CustomNotebook method) get_cut_off_points() (logml.survival_analysis.artifacts.optimal_cut_off.OptimalCutOffArtifact method) get_cv_generator() (logml.data.datasets.base.CrossValidationMixin method) get_cv_params() (logml.configuration.cross_validation.CrossValidationSection method) get_cv_scores() (logml.model_search.hp_optimizer.TrialResults static method) get_dataset() (logml.data.manager.DatasetsManager method) (logml.report.controllers.baseline_modeling.ModelSelectionController method) get_dataset_name() (logml.report.controllers.baseline_modeling.ModelSelectionController method) get_dataset_with_truncated_columns() (logml.report.controllers.eda.EDAController method) get_date_columns() (logml.data.metadata.DatasetMetadata method) get_default_correlation_config() (logml.configuration.eda.EDAArtifactsGenerationSection static method) get_default_ds_type() (logml.data.generators.DatasetGenerator method) get_default_feature_importance_section() (in module logml.configuration.modeling) get_default_logger() (in module logml.log) get_default_model() (logml.models.registry.EligibleModels method) get_dependent_jobs() (logml.analysis.dag.PipelineDag method) get_distributions_fit_summary() (in module logml.eda.artifacts_producers.stats_summary) get_dtype_by_name() (in module logml.data.metadata) get_estimator() (logml.models.base.BaseModel method) get_event_data() (logml.analysis.items.greedy_split.GreedySplitSurvivalAnalysis method) get_explanation_data() (logml.model_search.shap.ShapExplainable method) get_extractor_dump_path() (logml.feature_importance.FeatureImportanceOutputStructure method) get_feature_columns() (logml.analysis.items.greedy_split.GreedySplitSurvivalAnalysis method) get_feature_importance() (logml.models.base.BaseModel method) (logml.models.registry.survival.RandomSurvivalForestModel method) get_feature_values() (logml.data.datasets.cv_dataset.ModelingDataset method) get_features_dataframe() (logml.data.datasets.base.BaseDataset method) get_features_intersection() (logml.eda.artifacts.correlation.CorrelationGroup method) get_features_list() (logml.data.datasets.base.BaseDataset method) (logml.data.datasets.cv_dataset.ModelingDataset method) get_features_matrix() (logml.data.datasets.cv_dataset.ModelingDataset method) get_file_reader() (in module logml.data.readers) get_folds_generator() (logml.data.datasets.base.CrossValidationMixin method) get_general_dataset_summary() (logml.report.controllers.eda.EDAController method) get_group_name() (logml.eda.artifacts.correlation.CorrelationGroup method) get_hash() (logml.data.datasets.base.BaseDataset method) get_histograms() (in module logml.eda.artifacts_producers.distributions) get_hpo_losses() (logml.report.controllers.baseline_modeling.ModelSelectionController method) get_intermediate_artifacts_path() (logml.feature_importance.FeatureImportanceOutputStructure method) get_item_by_name() (logml.analysis.config.AnalysisPipelineConfig method) get_item_names() (logml.analysis.config.AnalysisPipelineConfig method) get_items_by_type() (logml.analysis.config.AnalysisPipelineConfig method) get_job_result_filename() (logml.analysis.common.DagOutputStructure method) get_kaplan_meier_fitters() (in module logml.survival_analysis.artifacts.kaplan_meier) get_km_summary() (logml.report.controllers.survival_analysis.SurvivalAnalysisController method) get_logrank_test_summary() (in module logml.survival_analysis.artifacts.kaplan_meier) get_loss() (logml.metrics.base.BaseMetric method) (logml.metrics.registry.classification.RocCurve method) (logml.model_search.hp_optimizer.TrialResults static method) get_low_cardinality_features() (logml.report.controllers.eda.CategoricalSummary method) get_main_feature() (logml.eda.artifacts.correlation.CorrelationGroup method) get_matching_regex_columns() (in module logml.data.utils) get_mean_loss() (logml.feature_importance.sfd.TrialResult method) get_mean_value() (logml.models.base.CVMetricsResult method) get_method() (in module logml.common) get_metrics_distribution() (logml.report.controllers.baseline_modeling.ModelSelectionController method) get_metrics_per_problem() (logml.report.controllers.baseline_modeling.ModelSelectionController method) get_missing_values_df() (in module logml.report.controllers.eda) get_missingness_summary_per_axes() (in module logml.eda.artifacts_producers.missingness) get_model_class() (logml.model_search.provider.ModelProvider method) get_model_config() (logml.model_search.selection.ModelSelection method) get_model_data() (logml.model_search.provider.ModelProvider method) get_model_folder_path() (logml.model_search.ModelSearchOutputStructure method) get_model_structure() (logml.model_search.ModelSearchOutputStructure method) get_models_attributes() (logml.models.base.BaseModel method) get_models_performance_summary() (logml.report.controllers.baseline_modeling.ModelSelectionController method) get_n_components() (in module logml.eda.artifacts_producers.dimensionality_reduction) get_normalized_data() (in module logml.report.controllers.eda) get_notebook_filename() (logml.report.notebooks.base.BaseReportItem method) (logml.report.notebooks.master_summary.ReportSummaryNotebook method) (logml.report.notebooks.master_summary.StandaloneSummaryPage method) get_notebook_metadata() (logml.report.notebooks.base.BaseReportItem method) get_notebook_metadata_path() (logml.report.notebooks.base.BaseReportItem method) get_notebook_toc_entry() (logml.report.notebooks.base.BaseReportItem method) (logml.report.notebooks.base.NotebooksSet method) (logml.report.notebooks.master_summary.ReportSummaryNotebook method) get_numeric_columns() (in module logml.eda.artifacts_producers.metadata) (logml.eda.artifacts_producers.dimensionality_reduction.DimensionalityReductionSummaryProducer method) get_numerical_columns() (logml.data.metadata.DatasetMetadata method) get_oc_summary() (logml.report.controllers.survival_analysis.SurvivalAnalysisController method) get_p_values_fdr() (logml.survival_analysis.artifacts.optimal_cut_off.OptimalCutOffArtifact method) get_params_for_notebooks() (in module logml.report.notebooks.utils) get_path_to_artifact() (logml.survival_analysis.artifacts.base.BaseArtifact method) get_path_to_plot() (logml.survival_analysis.artifacts.base.BaseArtifact method) get_paths_to_release() (logml.analysis.base_item.AnalysisItem method) (logml.analysis.items.modeling.AggregateFeatureImportanceStep method) (logml.analysis.items.modeling.EdaStep method) get_raw_feature_importances() (logml.feature_importance.base.BaseImportanceExtractor method) (logml.models.base.BaseModel method) get_raw_p_values() (logml.survival_analysis.artifacts.optimal_cut_off.OptimalCutOffArtifact method)

get_ready_to_start_steps() (in module logml.analysis.main) get_rel_loss() (logml.feature_importance.sfd.FIDS method) (logml.feature_importance.sfd.FIDSResult method) get_report_section() (logml.report.notebooks.base.BaseReportItem method) (logml.report.notebooks.base.CustomNotebook method) (logml.report.notebooks.diagnostics.ReportDiagnosticsNotebook method) get_represented() (logml.report.controllers.eda.CategoricalSummary static method) get_required_producers() (logml.eda.manager.EDAArtifactsManager method) get_result() (logml.analysis.base_item.AnalysisItem method) (logml.analysis.items.data_transform.DataTransformer method) (logml.analysis.items.greedy_split.GreedySplitSurvivalAnalysis method) (logml.analysis.items.modeling.AggregateFeatureImportanceStep method) (logml.analysis.items.modeling.EdaStep method) (logml.analysis.items.modeling.ExtractFeatureImportanceStep method) (logml.analysis.items.modeling.GenerateReportStep method) (logml.analysis.items.modeling.ModelingItemBase method) (logml.analysis.items.modeling.ModelingTransformer method) (logml.analysis.items.modeling.PackageReportStep method) (logml.analysis.items.modeling.SelectModelsStep method) (logml.analysis.items.modeling.SurvivalAnalysisStep method) (logml.analysis.items.modeling.TrainModelStep method) get_result_html_path() (logml.report.notebooks.master_summary.StandaloneSummaryPage method) get_result_notebook_path() (logml.report.notebooks.base.BaseReportItem method) (logml.report.notebooks.master_summary.StandaloneSummaryPage method) get_results_as_dataframe() (logml.analysis.dag.DagResult method) get_sa_method() (logml.configuration.survival_analysis.SurvivalAnalysisSetup method) get_scope_dataset() (logml.data.base.BaseTransformer method) get_score() (logml.metrics.base.BaseMetric method) (logml.metrics.registry.classification.RocCurve method) get_scoring_fn() (logml.metrics.base.BaseMetric method) get_selected_models() (logml.model_search.provider.ModelProvider method) get_shap_init_params() (logml.model_search.shap.ShapExplainable method) (logml.models.registry.linear.ElasticNetModel method) (logml.models.registry.linear.LassoLarsAICModel method) (logml.models.registry.linear.LassoLarsBICModel method) (logml.models.registry.linear.LassoModel method) (logml.models.registry.linear.LogisticRegressionModel method) (logml.models.registry.linear.RidgeModel method) (logml.models.registry.survival.CoxNetModel method) (logml.models.registry.survival.GradientBoostingSAModel method) (logml.models.registry.survival.RandomSurvivalForestModel method) (logml.models.registry.tree_based.DecisionTreeClassifierModel method) (logml.models.registry.tree_based.DecisionTreeRegressorModel method) (logml.models.registry.tree_based.ExtraTreesClassifierModel method) (logml.models.registry.tree_based.ExtraTreesRegressorModel method) (logml.models.registry.tree_based.GradientBoostingClassifierModel method) (logml.models.registry.tree_based.GradientBoostingRegressorModel method) (logml.models.registry.tree_based.LightGbmBaseModel method) (logml.models.registry.tree_based.RandomForestClassifierModel method) (logml.models.registry.tree_based.RandomForestRegressorModel method) get_shap_invoke_params() (logml.model_search.shap.ShapExplainable method) (logml.models.registry.tree_based.GradientBoostingClassifierModel method) get_sorted_steps_ids() (logml.analysis.dag.PipelineDag method) get_source() (logml.report.notebooks.base.TemplateLoader method) get_std_loss() (logml.feature_importance.sfd.TrialResult method) get_step_output() (logml.analysis.base_item.AnalysisPipelineContext method) get_strata_cross_product() (logml.report.controllers.feature_importance.CrossStrataFIController method) get_stratum() (in module logml.analysis.items.modeling) get_summary() (logml.analysis.base_item.AnalysisResult method) (logml.analysis.items.greedy_split.GreedySplitAnalysisResult method) (logml.analysis.items.greedy_split.GreedySplitStrata method) (logml.stopwatch.Stopwatch method) get_summary_df() (logml.stopwatch.Stopwatch method) get_summary_file_path() (logml.model_search.ModelSearchOutputStructure method) get_summary_ranks() (in module logml.feature_importance.sfd) get_survival_analysis_path() (logml.report.packaging.ReleaseStructure method) get_target_columns() (logml.data.datasets.cv_dataset.ModelingDataset method) (logml.data.datasets.survival_dataset.SurvivalDataset method) get_target_dg_problems() (logml.configuration.modeling.ModelingSection method) get_target_fi_problems() (logml.configuration.modeling.ModelingSection method) get_target_methods() (logml.configuration.modeling.FeatureImportanceSection method) (logml.configuration.survival_analysis.SurvivalAnalysisSetup method) get_target_ms_problems() (logml.configuration.modeling.ModelingSection method) get_target_names() (logml.data.metadata.DatasetMetadata method) get_target_problems() (logml.configuration.survival_analysis.SurvivalAnalysisSection method) get_target_subfolder() (logml.common.OutputStructure method) get_target_survival_problems() (logml.configuration.global_config.GlobalConfig method) get_target_values() (logml.data.datasets.cv_dataset.ModelingDataset method) (logml.data.datasets.survival_dataset.SurvivalDataset method) get_targets_dataframe() (logml.data.datasets.base.BaseDataset method) get_template_notebook_path() (logml.report.notebooks.base.BaseBKNotebook method) get_tiered_ranks() (logml.feature_importance.sfd.FIDS method) get_toc_template() (logml.report.toc_generation.TOCGenerator method) get_transformer() (logml.data.transformers.utils.EligibleTransformers method) get_univariate_container() (logml.data.datasets.survival_dataset.SurvivalDataset method) get_univariate_cox_summary() (in module logml.survival_analysis.artifacts.univariate_cox) get_valid_cut_offs() (logml.data.datasets.survival_dataset.UnivariateSurvivalContainer method) get_valid_cutoffs() (in module logml.survival_analysis.optcutoff) get_value() (logml.metrics.base.BaseMetric method) (logml.metrics.registry.classification.Accuracy method) (logml.metrics.registry.classification.BaseClassificationMetric method) (logml.metrics.registry.classification.F1Score method) (logml.metrics.registry.classification.Jaccard method) (logml.metrics.registry.classification.LogLoss method) (logml.metrics.registry.classification.Precision method) (logml.metrics.registry.classification.Recall method) (logml.metrics.registry.classification.RocAUC method) (logml.metrics.registry.classification.RocCurve method) (logml.metrics.registry.regression.BaseRegressionMetric method) (logml.metrics.registry.regression.MAE method) (logml.metrics.registry.regression.MAPE method) (logml.metrics.registry.regression.MSLE method) (logml.metrics.registry.regression.R2Score method) (logml.metrics.registry.regression.RMSE method) (logml.metrics.registry.survival.CIndex method) (logml.models.base.MetricsResult method) getsize() (in module logml.serialization) GLOBAL (logml.report.notebooks.base.BKNotebookScopes attribute) GLOBAL_FEATURES_RANKING (logml.feature_importance.FeatureImportanceOutputStructure attribute) global_params (logml.data.transformers.decomposition.BaseDecompositionTransformer attribute) (logml.data.transformers.decomposition.NMFDecompositionTransformer attribute) (logml.data.transformers.decomposition.PCADecompositionTransformer attribute) (logml.data.transformers.encoding.BinaryEncodingTransformer attribute) (logml.data.transformers.encoding.BucketizeTransformer attribute) (logml.data.transformers.encoding.DateTimeEncodingTransformer attribute) (logml.data.transformers.encoding.DNAIndicatorsBinarizationTransformer attribute) (logml.data.transformers.encoding.LabelEncodingTransformer attribute) (logml.data.transformers.encoding.MapEncodingTransformer attribute) (logml.data.transformers.encoding.MultiLabelEncodingTransformer attribute) (logml.data.transformers.encoding.OneHotEncodingTransformer attribute) (logml.data.transformers.filtering.DNASubsetFilteringTransformer attribute) (logml.data.transformers.filtering.DropColumnsTransformer attribute) (logml.data.transformers.filtering.DropColumnsWithoutMutationsTransformer attribute) (logml.data.transformers.filtering.DropHighMutualInfoColumnsTransformer attribute) (logml.data.transformers.filtering.DropLowVarianceColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanRowsTransformer attribute) (logml.data.transformers.filtering.PrevalenceFilteringTransformer attribute) (logml.data.transformers.filtering.RemoveCorrelatedColumnsTransformer attribute) (logml.data.transformers.filtering.SelectColumnsTransformer attribute) (logml.data.transformers.imputation.MICEImputeTransformer attribute) (logml.data.transformers.imputation.SimpleImputeTransformer attribute) (logml.data.transformers.lambdas.BaseLambdaTransformer attribute) (logml.data.transformers.lambdas.BinarizationLambdaTransformer attribute) (logml.data.transformers.lambdas.ConvertToFloatTransformer attribute) (logml.data.transformers.lambdas.Log1pLambdaTransformer attribute) (logml.data.transformers.lambdas.LogLambdaTransformer attribute) (logml.data.transformers.lambdas.QueryBooleanTransformer attribute) (logml.data.transformers.lambdas.ReplaceValueTransformer attribute) (logml.data.transformers.lambdas.ResolveMultipleChoiceTransformer attribute) (logml.data.transformers.metadata.SanitizeColumnsTransformer attribute) (logml.data.transformers.normalization.BaseNormalizationTransformer attribute) (logml.data.transformers.normalization.Log1pStandardNormalizationTransformer attribute) (logml.data.transformers.normalization.LogStandardNormalizationTransformer attribute) (logml.data.transformers.normalization.MaxAbsNormalizationTransformer attribute) (logml.data.transformers.normalization.MinMaxNegNormalizationTransformer attribute) (logml.data.transformers.normalization.MinMaxNormalizationTransformer attribute) (logml.data.transformers.normalization.StandardNormalizationTransformer attribute) (logml.data.transformers.randomization.AddRandomColumnsTransformer attribute) (logml.data.transformers.randomization.ShuffleTransformer attribute) (logml.data.transformers.unbalanced_data.DownsamplingTransformer attribute) (logml.data.transformers.unbalanced_data.UpsamplingTransformer attribute) GlobalArtifactsPackagingRunner (class in logml.report.packaging.global_runner) GradientBoostingClassifierModel (class in logml.models.registry.tree_based) GradientBoostingRegressorModel (class in logml.models.registry.tree_based) GradientBoostingSAModel (class in logml.models.registry.survival) greedy_split (logml.configuration.report.ReportStructure attribute) GreedySplitAnalysisResult (class in logml.analysis.items.greedy_split) GreedySplitNotebook (class in logml.report.notebooks.analysis) GreedySplitStrata (class in logml.analysis.items.greedy_split) GreedySplitSurvivalAnalysis (class in logml.analysis.items.greedy_split) GreedySplitSurvivalView (class in logml.report.views.greedy_split) GreedySplitViewController (class in logml.report.controllers.greedy_split) group (logml.configuration.modeling.ColumnMetadataConfig attribute) GROUP_PREFIX (logml.eda.artifacts.correlation.CorrelationGroup attribute) group_prefix (logml.eda.artifacts.correlation.CorrelationGroup property) groups_to_str() (logml.data.datasets.survival_dataset.UnivariateSurvivalContainer method)

H

has_artifact() (logml.report.controllers.eda.EDAController method) has_failed_dependecies() (logml.analysis.dag.DagResult method) HEADER (logml.report.views.feature_importance.FeatureImportanceSummaryView attribute) (logml.report.views.fi_cross_strata_comparison.CrossStrataFIComparisonView attribute) (logml.report.views.survival_feature_importance.SurvivalFeatureImportanceSummaryView attribute) hist_similarity_order (logml.eda.artifacts.distributions.DistributionsSummary attribute) histograms (logml.eda.artifacts.distributions.DistributionsSummary attribute) HISTORY_LOG (logml.survival_analysis.CoxSAOutputStructure attribute)

how (logml.data.config.DropNanRowsTransformerParams attribute) hpo (logml.configuration.modeling.ModelingSection attribute) hpo_status (logml.model_search.common.ModelEvaluationData attribute) HpoResult (class in logml.model_search.hp_optimizer) HTML_FILENAME (logml.report.notebooks.master_summary.StandaloneSummaryPage attribute) huge_data_threshold (logml.configuration.eda.EDAArtifactsGenerationParameters attribute) hyper_params (logml.configuration.modeling.ModelSelectionConfig attribute) HyperParamsOptimizerCore (class in logml.model_search.hp_optimizer) HyperParamsOptimizerException

I

identify_correlated() (in module logml.report.controllers.eda) ignore_sources_folder_f() (logml.report.ReportOutputStructure method) import_submodules() (in module logml.common) imputation (logml.data.config.ImputingTransformerParams attribute) imputation_params (logml.data.config.ImputingTransformerParams attribute) imputer (logml.configuration.modeling.DatasetPreprocessingPresetSection attribute) include_left_bound (logml.data.config.BucketDefinition attribute) include_right_bound (logml.data.config.BucketDefinition attribute) init_logger() (in module logml.log) init_process_states() (in module logml.analysis.main) INITIAL_COX_MODEL (logml.survival_analysis.CoxSAOutputStructure attribute) initialize_dataset() (logml.survival_analysis.handlers.cox.CoxArtifactsHandler method) InitializeDataNotebook (class in logml.report.notebooks.eda) InjectionRemovePreprocessor (class in logml.report.notebooks.base) INNER_NOTEBOOKS (logml.report.notebooks.base.NotebooksSet attribute) (logml.report.notebooks.eda.EDANotebooksSet attribute) (logml.report.notebooks.modeling.ModelingNotebooksSet attribute) inner_params (logml.data.config.DecompositionTransformerParams attribute) (logml.data.config.EncodingTransformerParams attribute)

input_ref (logml.analysis.items.data_transform.DataTransformerConfig attribute) (logml.analysis.items.greedy_split.GreedySplitAnalysisConfig attribute) input_shape (logml.data.utils.DataTransformLogItem attribute) INT (logml.data.metadata.DtypeKind attribute) INTERMEDIATE_ARTIFACTS (logml.feature_importance.FeatureImportanceOutputStructure attribute) (logml.survival_analysis.BaseSAMethodsOutputStructure attribute) IPCRidgeModel (class in logml.models.registry.survival) is_applicable() (logml.metrics.base.BaseMetric method) (logml.metrics.registry.classification.RocAUC method) (logml.metrics.registry.regression.MSLE method) is_categorical (logml.configuration.modeling.ColumnMetadataConfig attribute) is_dag_config (logml.configuration.global_config.GlobalConfig attribute) is_fit() (logml.models.base.BaseModel method) is_notebook_enabled() (logml.configuration.report.ReportStructure method) item_cfg (logml.analysis.main.JobProcessState attribute) items (logml.analysis.config.AnalysisPipelineConfig attribute) (logml.data.utils.DataTransformLog attribute) iterate_over_folds() (logml.models.base.BaseModel method)

J

Jaccard (class in logml.metrics.registry.classification) JobProcessState (class in logml.analysis.main) jobs (logml.analysis.common.JobsSchedule attribute)

jobs_results (logml.analysis.dag.DagResult attribute) JobStatus (class in logml.analysis.common) JQUERY_FILE (logml.report.ReportOutputStructure attribute)

K

KaplanMeierArtifact (class in logml.survival_analysis.artifacts.kaplan_meier) KaplanMeierSAExtractor (class in logml.survival_analysis.extractors.kaplan_meier) KaplanMeierSAOutputStructure (class in logml.survival_analysis) keep_first_value (logml.data.config.ResolveMultipleChoiceTransformerParams attribute) key_columns (logml.configuration.modeling.DatasetMetadataSection attribute) KFOLD (logml.configuration.cross_validation.CVSplitType attribute)

km_artifacts_managers (logml.survival_analysis.handlers.kaplan_meier.KMArtifactsHandler property) km_fitter1 (logml.analysis.items.greedy_split.GreedySplitStrata attribute) km_fitter2 (logml.analysis.items.greedy_split.GreedySplitStrata attribute) KMArtifactsHandler (class in logml.survival_analysis.handlers.kaplan_meier) KNeighborsClassifierModel (class in logml.models.registry.neighbors) KNeighborsRegressorModel (class in logml.models.registry.neighbors) KnownFeatureProperties (class in logml.data.base)

L

LABEL (logml.analysis.base_item.AnalysisItem attribute) (logml.analysis.items.data_transform.DataTransformer attribute) (logml.analysis.items.greedy_split.GreedySplitSurvivalAnalysis attribute) (logml.analysis.items.modeling.AggregateFeatureImportanceStep attribute) (logml.analysis.items.modeling.EdaStep attribute) (logml.analysis.items.modeling.ExtractFeatureImportanceStep attribute) (logml.analysis.items.modeling.GenerateReportStep attribute) (logml.analysis.items.modeling.ModelingTransformer attribute) (logml.analysis.items.modeling.PackageReportStep attribute) (logml.analysis.items.modeling.SelectModelsStep attribute) (logml.analysis.items.modeling.SurvivalAnalysisStep attribute) (logml.analysis.items.modeling.TrainModelStep attribute) (logml.data.base.BaseTransformer attribute) (logml.data.datasets.base.BaseDataset attribute) (logml.data.datasets.cv_dataset.ModelingDataset attribute) (logml.data.datasets.survival_dataset.SurvivalDataset attribute) (logml.data.generators.DatasetGenerator attribute) (logml.data.transformers.decomposition.BaseDecompositionTransformer attribute) (logml.data.transformers.decomposition.NMFDecompositionTransformer attribute) (logml.data.transformers.decomposition.PCADecompositionTransformer attribute) (logml.data.transformers.encoding.BinaryEncodingTransformer attribute) (logml.data.transformers.encoding.BucketizeTransformer attribute) (logml.data.transformers.encoding.DateTimeEncodingTransformer attribute) (logml.data.transformers.encoding.DNAIndicatorsBinarizationTransformer attribute) (logml.data.transformers.encoding.LabelEncodingTransformer attribute) (logml.data.transformers.encoding.MapEncodingTransformer attribute) (logml.data.transformers.encoding.MultiLabelEncodingTransformer attribute) (logml.data.transformers.encoding.OneHotEncodingTransformer attribute) (logml.data.transformers.filtering.DNASubsetFilteringTransformer attribute) (logml.data.transformers.filtering.DropColumnsTransformer attribute) (logml.data.transformers.filtering.DropColumnsWithoutMutationsTransformer attribute) (logml.data.transformers.filtering.DropHighMutualInfoColumnsTransformer attribute) (logml.data.transformers.filtering.DropLowVarianceColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanRowsTransformer attribute) (logml.data.transformers.filtering.PrevalenceFilteringTransformer attribute) (logml.data.transformers.filtering.RemoveCorrelatedColumnsTransformer attribute) (logml.data.transformers.filtering.SelectColumnsTransformer attribute) (logml.data.transformers.imputation.MICEImputeTransformer attribute) (logml.data.transformers.imputation.SimpleImputeTransformer attribute) (logml.data.transformers.lambdas.BaseLambdaTransformer attribute) (logml.data.transformers.lambdas.BinarizationLambdaTransformer attribute) (logml.data.transformers.lambdas.ConvertToFloatTransformer attribute) (logml.data.transformers.lambdas.Log1pLambdaTransformer attribute) (logml.data.transformers.lambdas.LogLambdaTransformer attribute) (logml.data.transformers.lambdas.QueryBooleanTransformer attribute) (logml.data.transformers.lambdas.ReplaceValueTransformer attribute) (logml.data.transformers.lambdas.ResolveMultipleChoiceTransformer attribute) (logml.data.transformers.metadata.SanitizeColumnsTransformer attribute) (logml.data.transformers.normalization.BaseNormalizationTransformer attribute) (logml.data.transformers.normalization.Log1pStandardNormalizationTransformer attribute) (logml.data.transformers.normalization.LogStandardNormalizationTransformer attribute) (logml.data.transformers.normalization.MaxAbsNormalizationTransformer attribute) (logml.data.transformers.normalization.MinMaxNegNormalizationTransformer attribute) (logml.data.transformers.normalization.MinMaxNormalizationTransformer attribute) (logml.data.transformers.normalization.StandardNormalizationTransformer attribute) (logml.data.transformers.randomization.AddRandomColumnsTransformer attribute) (logml.data.transformers.randomization.ShuffleTransformer attribute) (logml.data.transformers.unbalanced_data.DownsamplingTransformer attribute) (logml.data.transformers.unbalanced_data.UpsamplingTransformer attribute) (logml.eda.artifacts.correlation.CorrelationSummary attribute) (logml.eda.artifacts.dimensionality_reduction.DimensionalityReduction attribute) (logml.eda.artifacts.distributions.DistributionsSummary attribute) (logml.eda.artifacts.metadata.DatasetMetadata attribute) (logml.eda.artifacts.missingness.MissingnessSummary attribute) (logml.eda.artifacts.stats_summary.StatisticsSummary attribute) (logml.eda.artifacts_producers.base.BaseEDAArtifactsProducer attribute) (logml.eda.artifacts_producers.correlation.CorrelationSummaryProducer attribute) (logml.eda.artifacts_producers.dimensionality_reduction.DimensionalityReductionSummaryProducer attribute) (logml.eda.artifacts_producers.distributions.DistributionsSummaryProducer attribute) (logml.eda.artifacts_producers.metadata.MetadataProducer attribute) (logml.eda.artifacts_producers.missingness.MissingnessSummaryProducer attribute) (logml.eda.artifacts_producers.stats_summary.StatisticsSummaryProducer attribute) (logml.feature_importance.base.BaseImportanceExtractor attribute) (logml.feature_importance.extractors.model_based.ModelBasedImportanceExtractor attribute) (logml.feature_importance.extractors.model_interpret.ModelInterpretImportanceExtractor attribute) (logml.feature_importance.extractors.permutation.PermutationImportanceEli5Extractor attribute) (logml.metrics.base.BaseMetric attribute) (logml.metrics.registry.classification.Accuracy attribute) (logml.metrics.registry.classification.F1Score attribute) (logml.metrics.registry.classification.Jaccard attribute) (logml.metrics.registry.classification.LogLoss attribute) (logml.metrics.registry.classification.PRCurve attribute) (logml.metrics.registry.classification.Precision attribute) (logml.metrics.registry.classification.Recall attribute) (logml.metrics.registry.classification.RocAUC attribute) (logml.metrics.registry.classification.RocCurve attribute) (logml.metrics.registry.regression.MAE attribute) (logml.metrics.registry.regression.MAPE attribute) (logml.metrics.registry.regression.MSLE attribute) (logml.metrics.registry.regression.R2Score attribute) (logml.metrics.registry.regression.RMSE attribute) (logml.metrics.registry.survival.CIndex attribute) (logml.survival_analysis.artifacts.base.BaseArtifact attribute) (logml.survival_analysis.artifacts.cox.CoxArtifact attribute) (logml.survival_analysis.artifacts.kaplan_meier.KaplanMeierArtifact attribute) (logml.survival_analysis.artifacts.optimal_cut_off.OptimalCutOffArtifact attribute) (logml.survival_analysis.extractors.base.BaseSAExtractor attribute) (logml.survival_analysis.extractors.cox.CoxSAExtractor attribute) (logml.survival_analysis.extractors.kaplan_meier.KaplanMeierSAExtractor attribute) (logml.survival_analysis.extractors.optimal_cut_off.OptimalCutOffSAExtractor attribute) (logml.survival_analysis.handlers.cox.CoxArtifactsHandler attribute) (logml.survival_analysis.handlers.kaplan_meier.KMArtifactsHandler attribute) (logml.survival_analysis.handlers.optimal_cut_off.OCArtifactsHander attribute) LABEL_ATTRIBUTE (logml.common.BaseEligibleRegistrator attribute) (logml.models.registry.EligibleModels attribute) (logml.report.notebooks.EligibleBaselineKitNotebooks attribute) (logml.report.views.EligibleBaselineKitViews attribute) (logml.survival_analysis.EligibleSAMethodsOutputStructures attribute) LabelEncodingTransformer (class in logml.data.transformers.encoding) large_data_threshold (logml.configuration.eda.EDAArtifactsGenerationParameters attribute) LassoLarsAICModel (class in logml.models.registry.linear) LassoLarsBICModel (class in logml.models.registry.linear) LassoModel (class in logml.models.registry.linear) lda_output (logml.eda.artifacts.dimensionality_reduction.DimensionalityReduction attribute) left_bound (logml.data.config.BucketDefinition attribute) LightGbmBaseModel (class in logml.models.registry.tree_based) LightGbmClassifierModel (class in logml.models.registry.tree_based) LightGbmRegressorModel (class in logml.models.registry.tree_based) limit (logml.configuration.modeling.ModelSearchSection attribute) LinearSVCClassifierModel (class in logml.models.registry.svm) list_adjacent_nodes() (logml.eda.artifacts.correlation.CorrelationGraph method) list_aggregated_artifacts() (logml.feature_importance.FeatureImportanceOutputStructure method) list_available_models() (logml.model_search.ModelSearchOutputStructure method) (logml.report.controllers.baseline_modeling.ModelSelectionController method) list_datasets() (logml.data.manager.DatasetsManager method) list_eligible_models() (in module logml.models.registry) list_intermediate_artifacts() (logml.feature_importance.FeatureImportanceOutputStructure method) list_items() (logml.common.BaseEligibleRegistrator method) list_labels() (logml.common.BaseEligibleRegistrator method) list_modeling_problems() (logml.configuration.report.MasterSummarySection method) (logml.configuration.report.ReportStructure method) list_survival_problems() (logml.configuration.report.MasterSummarySection method) (logml.configuration.report.ReportStructure method) list_values() (logml.common.BaseEligibleRegistrator method) load() (logml.configuration.global_config.GlobalConfig class method) (logml.data.datasets.base.BaseDataset class method) (logml.feature_importance.sfd.FIDSEnv class method) (logml.survival_analysis.artifacts.base.BaseArtifact static method) load_analysis_metadata() (in module logml.analysis.base_item) load_analysis_results() (in module logml.analysis.base_item) load_dataframe() (in module logml.data.readers) load_exp_data() (logml.feature_importance.sfd.FIDSEnv method) load_fids_results() (logml.feature_importance.sfd.FIDSRunner method) load_hpo_result() (logml.model_search.provider.ModelProvider method) load_incoming_metadata() (in module logml.data.metadata) load_json() (in module logml.serialization) load_model_evaluation_result() (logml.model_search.provider.ModelProvider method) load_model_hpo_result() (logml.model_search.provider.ModelProvider method) load_model_instance() (logml.model_search.provider.ModelProvider method) load_pickle() (in module logml.serialization) load_ranked_summary() (logml.report.controllers.feature_importance.FeatureImportanceController method) load_raw_summary() (logml.report.controllers.feature_importance.FeatureImportanceController method) load_result() (logml.analysis.base_item.AnalysisItem method) load_selection_result() (logml.model_search.provider.ModelProvider method) load_steps() (logml.analysis.dag.DagResult method) load_yaml() (in module logml.serialization) Log1pLambdaTransformer (class in logml.data.transformers.lambdas) Log1pStandardNormalizationTransformer (class in logml.data.transformers.normalization) log_header() (in module logml.log) log_ml.py-config-print-schema command line option --no-use-json --output --use-json -o log_ml.py-config-validate command line option --output -o FILE log_ml.py-models-list command line option --objective --short -o log_ml.py-pipeline-generate_dag command line option --config-path --dataset-path --output-path --run-name -c -d -n -o log_ml.py-pipeline-run command line option --config-path --dataset-path --debug --dry-run --job-completion-file --job-id --log-file --mct-config-path --njobs --no-debug --no-dry-run --no-profile --no-reset --output-path --profile --project-id --reset --run-name --sig-db-path --step -c -d -j -l -m -n -o -p log_ml.py-pipeline-state command line option --output-path --run-name -n -o LOG_RANK_TESTS_SUMMARY (logml.survival_analysis.KaplanMeierSAOutputStructure attribute) (logml.survival_analysis.OptimalCutOffSAOutputStructure attribute) LogisticRegressionModel (class in logml.models.registry.linear) LogLambdaTransformer (class in logml.data.transformers.lambdas) LogLoss (class in logml.metrics.registry.classification) logml module logml.analysis module logml.analysis.base_item module logml.analysis.common module logml.analysis.config module logml.analysis.converter module logml.analysis.dag module logml.analysis.items module logml.analysis.items.data_transform module logml.analysis.items.greedy_split module logml.analysis.items.modeling module logml.analysis.items.registration module logml.analysis.main module logml.analysis.runner module logml.common module logml.configuration module logml.configuration.base module logml.configuration.cross_validation module logml.configuration.eda module logml.configuration.global_config module logml.configuration.modeling module logml.configuration.report module logml.configuration.stratification module logml.configuration.survival_analysis module logml.data module logml.data.base module logml.data.config module logml.data.cross_validation module logml.data.datasets module logml.data.datasets.base module logml.data.datasets.cv_dataset module logml.data.datasets.survival_dataset module logml.data.generators module logml.data.manager module logml.data.metadata module logml.data.pipeline module logml.data.presets module logml.data.readers module logml.data.transformers module

logml.data.transformers.decomposition module logml.data.transformers.encoding module logml.data.transformers.filtering module logml.data.transformers.imputation module logml.data.transformers.lambdas module logml.data.transformers.metadata module logml.data.transformers.normalization module logml.data.transformers.randomization module logml.data.transformers.unbalanced_data module logml.data.transformers.utils module logml.data.utils module logml.eda module logml.eda.artifacts module logml.eda.artifacts.correlation module logml.eda.artifacts.dimensionality_reduction module logml.eda.artifacts.distributions module logml.eda.artifacts.loader module logml.eda.artifacts.metadata module logml.eda.artifacts.missingness module logml.eda.artifacts.stats_summary module logml.eda.artifacts.utils module logml.eda.artifacts_producers module logml.eda.artifacts_producers.base module logml.eda.artifacts_producers.config module logml.eda.artifacts_producers.correlation module logml.eda.artifacts_producers.dimensionality_reduction module logml.eda.artifacts_producers.distributions module logml.eda.artifacts_producers.metadata module logml.eda.artifacts_producers.missingness module logml.eda.artifacts_producers.stats_summary module logml.eda.artifacts_producers.utils module logml.eda.manager module logml.eda.runner module logml.feature_importance module logml.feature_importance.base module logml.feature_importance.extractors module logml.feature_importance.extractors.model_based module logml.feature_importance.extractors.model_interpret module logml.feature_importance.extractors.permutation module logml.feature_importance.sfd module logml.log module logml.main module logml.metrics module logml.metrics.base module logml.metrics.registry module logml.metrics.registry.classification module logml.metrics.registry.regression module logml.metrics.registry.survival module logml.model_search module logml.model_search.common module logml.model_search.hp_optimizer module logml.model_search.provider module logml.model_search.selection module logml.model_search.shap module logml.models module logml.models.base module logml.models.registry module logml.models.registry.dummy module logml.models.registry.linear module logml.models.registry.naive_bayes module logml.models.registry.neighbors module logml.models.registry.survival module logml.models.registry.svm module logml.models.registry.tree_based module logml.report module logml.report.controllers module logml.report.controllers.baseline_modeling module logml.report.controllers.eda module logml.report.controllers.feature_importance module logml.report.controllers.greedy_split module logml.report.controllers.report_summary module logml.report.controllers.survival_analysis module logml.report.notebooks module logml.report.notebooks.analysis module logml.report.notebooks.base module logml.report.notebooks.diagnostics module logml.report.notebooks.eda module logml.report.notebooks.master_summary module logml.report.notebooks.modeling module logml.report.notebooks.rnaseq_gsa module logml.report.notebooks.survival_analysis module logml.report.notebooks.templates module logml.report.notebooks.utils module logml.report.notebooks_generation_runner module logml.report.packaging module logml.report.packaging.global_runner module logml.report.packaging.strata_runner module logml.report.plotters module logml.report.plotters.baseline_modeling module logml.report.plotters.correlation module logml.report.plotters.distributions module logml.report.plotters.feature_importance module logml.report.plotters.gsa module logml.report.plotters.missingness module logml.report.plotters.ui_elements module logml.report.report_runner module logml.report.resources module logml.report.resources.img module logml.report.resources.js module logml.report.toc_generation module logml.report.views module logml.report.views.baseline_modeling module logml.report.views.categoricals_summary module logml.report.views.cell module logml.report.views.dataset_overview module logml.report.views.diagnostics module logml.report.views.dimensionality_reduction module logml.report.views.distributions module logml.report.views.facets_dive module logml.report.views.feature_importance module logml.report.views.fi_cross_strata_comparison module logml.report.views.greedy_split module logml.report.views.master_summary module logml.report.views.missingness module logml.report.views.statistics module logml.report.views.survival_analysis module logml.report.views.survival_feature_importance module logml.serialization module logml.stopwatch module logml.survival_analysis module logml.survival_analysis.artifacts module logml.survival_analysis.artifacts.base module logml.survival_analysis.artifacts.cox module logml.survival_analysis.artifacts.kaplan_meier module logml.survival_analysis.artifacts.manager module logml.survival_analysis.artifacts.optimal_cut_off module logml.survival_analysis.artifacts.univariate_cox module logml.survival_analysis.artifacts.utils module logml.survival_analysis.artifacts.viz module logml.survival_analysis.extractors module logml.survival_analysis.extractors.base module logml.survival_analysis.extractors.cox module logml.survival_analysis.extractors.kaplan_meier module logml.survival_analysis.extractors.optimal_cut_off module logml.survival_analysis.extractors.utils module logml.survival_analysis.handlers module logml.survival_analysis.handlers.cox module logml.survival_analysis.handlers.kaplan_meier module logml.survival_analysis.handlers.optimal_cut_off module logml.survival_analysis.handlers.utils module logml.survival_analysis.optcutoff module logml.survival_analysis.runner module LogmlJSONEncoder (class in logml.serialization) logo_file_path (logml.report.ReportOutputStructure property) LOGO_FILENAME (logml.report.ReportOutputStructure attribute) logrank_p_value (logml.survival_analysis.artifacts.kaplan_meier.KaplanMeierArtifact property) LOGS (logml.common.OutputStructure attribute) LogStandardNormalizationTransformer (class in logml.data.transformers.normalization) loss (logml.feature_importance.sfd.TrialResult attribute) loss_ks_test() (in module logml.model_search.selection) loss_name (logml.feature_importance.sfd.FIDSResult property) (logml.model_search.common.ModelEvaluationData attribute) loss_or_score (logml.models.base.MetricsResult attribute) loss_rel (logml.model_search.common.ModelEvaluationData attribute) loss_u_test() (in module logml.model_search.selection) losses (logml.feature_importance.sfd.FIDSResult attribute)

M

MAE (class in logml.metrics.registry.regression) MAIN (logml.analysis.AnalysisItemOutputStructure attribute) main_config (logml.configuration.global_config.ConfigSources attribute) make_cv_params() (in module logml.configuration.cross_validation) make_dag_diagnostics() (logml.report.views.diagnostics.ReportDiagnosticsView method) make_discrete_colorscale() (in module logml.report.controllers.eda) make_image() (logml.analysis.dag.PipelineDag method) make_params() (logml.analysis.items.modeling.GenerateReportStep method) (logml.analysis.items.modeling.ModelingItemBase method) (logml.analysis.items.modeling.PackageReportStep method) make_rnd_dataset() (in module logml.feature_importance.sfd) make_subplots() (in module logml.report.plotters.ui_elements) make_summary_df() (logml.report.controllers.greedy_split.GreedySplitViewController method) make_survival_target() (in module logml.data.datasets.survival_dataset) map_request() (logml.data.transformers.utils.EligibleTransformers method) MAPE (class in logml.metrics.registry.regression) MapEncodingTransformer (class in logml.data.transformers.encoding) mapping (logml.data.config.MapEncodingTransformerParams attribute) (logml.data.transformers.lambdas.ReplaceValuesTransformerParams attribute) (logml.data.transformers.utils.EligibleTransformers attribute) (logml.eda.artifacts.utils.EligibleEDAArtifacts attribute) (logml.eda.artifacts_producers.utils.EligibleEDAArtifactsProducers attribute) (logml.feature_importance.extractors.EligibleFIExtractors attribute) (logml.metrics.registry.EligibleMetrics attribute) (logml.models.registry.EligibleModels attribute) (logml.report.notebooks.EligibleBaselineKitNotebooks attribute) (logml.report.views.EligibleBaselineKitViews attribute) (logml.survival_analysis.EligibleSAMethodsOutputStructures attribute) (logml.survival_analysis.extractors.utils.EligibleSAExtractors attribute) masker (logml.model_search.shap.ShapExplainerState attribute) master_summary (logml.configuration.report.ReportStructure attribute) MasterSummaryNotebook (class in logml.report.notebooks.master_summary) MasterSummaryView (class in logml.report.views.master_summary) max_evals (logml.configuration.modeling.HPOSection attribute) max_stratify_values (logml.analysis.items.greedy_split.GreedySplitAnalysisConfig attribute) MaxAbsNormalizationTransformer (class in logml.data.transformers.normalization) mca_columns (logml.eda.artifacts.dimensionality_reduction.DimensionalityReduction attribute) mca_explained_variance (logml.eda.artifacts.dimensionality_reduction.DimensionalityReduction attribute) mca_loadings (logml.eda.artifacts.dimensionality_reduction.DimensionalityReduction attribute) mca_output (logml.eda.artifacts.dimensionality_reduction.DimensionalityReduction attribute) md (logml.data.pipeline.PreprocessingDebugStep attribute) md() (in module logml.report.views) mean_loss (logml.model_search.common.ModelEvaluationData attribute) mean_metrics (logml.model_search.common.ModelEvaluationData attribute) medan_rank (logml.feature_importance.sfd.FIDSFeatureResult attribute) mem (logml.analysis.common.JobResourcesReqs attribute) metadata (logml.configuration.modeling.ModelingSetup attribute) (logml.report.controllers.eda.EDAController property) METADATA (logml.report.ReportOutputStructure attribute) metadata_cfg (logml.data.transformers.decomposition.BaseDecompositionTransformer attribute) (logml.data.transformers.decomposition.NMFDecompositionTransformer attribute) (logml.data.transformers.decomposition.PCADecompositionTransformer attribute) (logml.data.transformers.encoding.BinaryEncodingTransformer attribute) (logml.data.transformers.encoding.BucketizeTransformer attribute) (logml.data.transformers.encoding.DateTimeEncodingTransformer attribute) (logml.data.transformers.encoding.DNAIndicatorsBinarizationTransformer attribute) (logml.data.transformers.encoding.LabelEncodingTransformer attribute) (logml.data.transformers.encoding.MapEncodingTransformer attribute) (logml.data.transformers.encoding.MultiLabelEncodingTransformer attribute) (logml.data.transformers.encoding.OneHotEncodingTransformer attribute) (logml.data.transformers.filtering.DNASubsetFilteringTransformer attribute) (logml.data.transformers.filtering.DropColumnsTransformer attribute) (logml.data.transformers.filtering.DropColumnsWithoutMutationsTransformer attribute) (logml.data.transformers.filtering.DropHighMutualInfoColumnsTransformer attribute) (logml.data.transformers.filtering.DropLowVarianceColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanRowsTransformer attribute) (logml.data.transformers.filtering.PrevalenceFilteringTransformer attribute) (logml.data.transformers.filtering.RemoveCorrelatedColumnsTransformer attribute) (logml.data.transformers.filtering.SelectColumnsTransformer attribute) (logml.data.transformers.imputation.MICEImputeTransformer attribute) (logml.data.transformers.imputation.SimpleImputeTransformer attribute) (logml.data.transformers.lambdas.BaseLambdaTransformer attribute) (logml.data.transformers.lambdas.BinarizationLambdaTransformer attribute) (logml.data.transformers.lambdas.ConvertToFloatTransformer attribute) (logml.data.transformers.lambdas.Log1pLambdaTransformer attribute) (logml.data.transformers.lambdas.LogLambdaTransformer attribute) (logml.data.transformers.lambdas.QueryBooleanTransformer attribute) (logml.data.transformers.lambdas.ReplaceValueTransformer attribute) (logml.data.transformers.lambdas.ResolveMultipleChoiceTransformer attribute) (logml.data.transformers.metadata.SanitizeColumnsTransformer attribute) (logml.data.transformers.normalization.BaseNormalizationTransformer attribute) (logml.data.transformers.normalization.Log1pStandardNormalizationTransformer attribute) (logml.data.transformers.normalization.LogStandardNormalizationTransformer attribute) (logml.data.transformers.normalization.MaxAbsNormalizationTransformer attribute) (logml.data.transformers.normalization.MinMaxNegNormalizationTransformer attribute) (logml.data.transformers.normalization.MinMaxNormalizationTransformer attribute) (logml.data.transformers.normalization.StandardNormalizationTransformer attribute) (logml.data.transformers.randomization.AddRandomColumnsTransformer attribute) (logml.data.transformers.randomization.ShuffleTransformer attribute) (logml.data.transformers.unbalanced_data.DownsamplingTransformer attribute) (logml.data.transformers.unbalanced_data.UpsamplingTransformer attribute) MetadataProducer (class in logml.eda.artifacts_producers.metadata) METHOD_ALIAS (logml.survival_analysis.BaseSAMethodsOutputStructure attribute) (logml.survival_analysis.CoxSAOutputStructure attribute) (logml.survival_analysis.KaplanMeierSAOutputStructure attribute) (logml.survival_analysis.OptimalCutOffSAOutputStructure attribute) method_id (logml.configuration.survival_analysis.SurvivalAnalysisMethod attribute) methods (logml.configuration.modeling.FeatureImportanceSection attribute) (logml.configuration.survival_analysis.SurvivalAnalysisSetup attribute) metrics (logml.model_search.shap.ShapExplanationWrapper attribute) MetricsResult (class in logml.models.base) MICEImputeTransformer (class in logml.data.transformers.imputation) min_population (logml.survival_analysis.extractors.optimal_cut_off.OptimalCutOffSAParams attribute) min_split_size (logml.analysis.items.greedy_split.GreedySplitAnalysisConfig attribute) MinMaxNegNormalizationTransformer (class in logml.data.transformers.normalization) MinMaxNormalizationTransformer (class in logml.data.transformers.normalization) missing_values_per_column (logml.eda.artifacts.missingness.MissingnessSummary attribute) missing_values_per_row (logml.eda.artifacts.missingness.MissingnessSummary attribute) MissingExplainerException MissingnessNotebook (class in logml.report.notebooks.eda) MissingnessSummary (class in logml.eda.artifacts.missingness) MissingnessSummaryProducer (class in logml.eda.artifacts_producers.missingness) MissingnessSummaryView (class in logml.report.views.missingness) MJHJ_FILENAME (logml.report.ReportOutputStructure attribute) model (logml.feature_importance.sfd.TrialResult attribute) model_evaluation_file_path (logml.model_search.ModelSearchResultOutputStructure property) MODEL_EVALUATION_FILENAME (logml.model_search.ModelSearchResultOutputStructure attribute) MODEL_HPO_FILENAME (logml.model_search.ModelSearchResultOutputStructure attribute) model_hpo_result_file_path (logml.model_search.ModelSearchResultOutputStructure property) model_instance_file_path (logml.model_search.ModelSearchResultOutputStructure property) MODEL_INSTANCE_FILENAME (logml.model_search.ModelSearchResultOutputStructure attribute) model_name (logml.analysis.items.modeling.ExtractFeatureImportanceStepConfig attribute) (logml.analysis.items.modeling.TrainModelStepConfig attribute) (logml.feature_importance.sfd.FIDSResult attribute) model_search (logml.configuration.modeling.ModelingSetup attribute) MODEL_SEARCH (logml.model_search.ModelSearchOutputStructure attribute) model_search_check() (logml.configuration.modeling.ModelingSetup class method) ModelBasedImportanceExtractor (class in logml.feature_importance.extractors.model_based) ModelEvaluationData (class in logml.model_search.common) ModelException ModelExplainerType (class in logml.model_search.shap) ModelHpoResult (class in logml.model_search.hp_optimizer) ModelHpoStatus (class in logml.model_search.common) modeling (logml.configuration.global_config.GlobalConfig attribute) (logml.configuration.report.ReportStructure attribute) modeling_ref (logml.analysis.items.data_transform.DataTransformerConfig attribute) modeling_section_enabled() (logml.configuration.global_config.GlobalConfig method) modeling_specs (logml.configuration.modeling.DatasetMetadataSection attribute) modeling_task (logml.analysis.items.data_transform.DataTransformerConfig attribute) modeling_to_grid() (in module logml.report.notebooks.master_summary) ModelingAnalysisResult (class in logml.analysis.items.modeling) ModelingDataset (class in logml.data.datasets.cv_dataset) ModelingItemBase (class in logml.analysis.items.modeling) ModelingNotebooksSet (class in logml.report.notebooks.modeling) ModelingTask (class in logml.common) ModelingTransformer (class in logml.analysis.items.modeling) ModelInterpretImportanceExtractor (class in logml.feature_importance.extractors.model_interpret) ModelProvider (class in logml.model_search.provider) models (logml.configuration.modeling.FeatureImportanceMethod attribute) (logml.configuration.modeling.ModelSearchSection attribute) (logml.feature_importance.sfd.FIDSummaryResult attribute) models_random_state (logml.configuration.modeling.ModelSearchSection attribute) ModelSearchOutputStructure (class in logml.model_search) ModelSearchResultOutputStructure (class in logml.model_search) ModelSelection (class in logml.model_search.selection) ModelSelectionController (class in logml.report.controllers.baseline_modeling) ModelSelectionResult (class in logml.model_search.common) module logml logml.analysis logml.analysis.base_item logml.analysis.common logml.analysis.config logml.analysis.converter logml.analysis.dag logml.analysis.items logml.analysis.items.data_transform logml.analysis.items.greedy_split logml.analysis.items.modeling logml.analysis.items.registration logml.analysis.main logml.analysis.runner logml.common logml.configuration logml.configuration.base logml.configuration.cross_validation logml.configuration.eda logml.configuration.global_config logml.configuration.modeling logml.configuration.report logml.configuration.stratification logml.configuration.survival_analysis logml.data logml.data.base logml.data.config logml.data.cross_validation logml.data.datasets logml.data.datasets.base logml.data.datasets.cv_dataset logml.data.datasets.survival_dataset logml.data.generators logml.data.manager logml.data.metadata logml.data.pipeline logml.data.presets logml.data.readers logml.data.transformers logml.data.transformers.decomposition logml.data.transformers.encoding logml.data.transformers.filtering logml.data.transformers.imputation logml.data.transformers.lambdas logml.data.transformers.metadata logml.data.transformers.normalization logml.data.transformers.randomization logml.data.transformers.unbalanced_data logml.data.transformers.utils logml.data.utils logml.eda logml.eda.artifacts logml.eda.artifacts.correlation logml.eda.artifacts.dimensionality_reduction logml.eda.artifacts.distributions logml.eda.artifacts.loader logml.eda.artifacts.metadata logml.eda.artifacts.missingness logml.eda.artifacts.stats_summary logml.eda.artifacts.utils logml.eda.artifacts_producers logml.eda.artifacts_producers.base logml.eda.artifacts_producers.config logml.eda.artifacts_producers.correlation logml.eda.artifacts_producers.dimensionality_reduction logml.eda.artifacts_producers.distributions logml.eda.artifacts_producers.metadata logml.eda.artifacts_producers.missingness logml.eda.artifacts_producers.stats_summary logml.eda.artifacts_producers.utils logml.eda.manager logml.eda.runner logml.feature_importance logml.feature_importance.base logml.feature_importance.extractors logml.feature_importance.extractors.model_based logml.feature_importance.extractors.model_interpret logml.feature_importance.extractors.permutation logml.feature_importance.sfd logml.log logml.main logml.metrics logml.metrics.base logml.metrics.registry logml.metrics.registry.classification logml.metrics.registry.regression logml.metrics.registry.survival logml.model_search logml.model_search.common logml.model_search.hp_optimizer logml.model_search.provider logml.model_search.selection logml.model_search.shap logml.models logml.models.base logml.models.registry logml.models.registry.dummy logml.models.registry.linear logml.models.registry.naive_bayes logml.models.registry.neighbors logml.models.registry.survival logml.models.registry.svm logml.models.registry.tree_based logml.report logml.report.controllers logml.report.controllers.baseline_modeling logml.report.controllers.eda logml.report.controllers.feature_importance logml.report.controllers.greedy_split logml.report.controllers.report_summary logml.report.controllers.survival_analysis logml.report.notebooks logml.report.notebooks.analysis logml.report.notebooks.base logml.report.notebooks.diagnostics logml.report.notebooks.eda logml.report.notebooks.master_summary logml.report.notebooks.modeling logml.report.notebooks.rnaseq_gsa logml.report.notebooks.survival_analysis logml.report.notebooks.templates logml.report.notebooks.utils logml.report.notebooks_generation_runner logml.report.packaging logml.report.packaging.global_runner logml.report.packaging.strata_runner logml.report.plotters logml.report.plotters.baseline_modeling logml.report.plotters.correlation logml.report.plotters.distributions logml.report.plotters.feature_importance logml.report.plotters.gsa logml.report.plotters.missingness logml.report.plotters.ui_elements logml.report.report_runner logml.report.resources logml.report.resources.img logml.report.resources.js logml.report.toc_generation logml.report.views logml.report.views.baseline_modeling logml.report.views.categoricals_summary logml.report.views.cell logml.report.views.dataset_overview logml.report.views.diagnostics logml.report.views.dimensionality_reduction logml.report.views.distributions logml.report.views.facets_dive logml.report.views.feature_importance logml.report.views.fi_cross_strata_comparison logml.report.views.greedy_split logml.report.views.master_summary logml.report.views.missingness logml.report.views.statistics logml.report.views.survival_analysis logml.report.views.survival_feature_importance logml.serialization logml.stopwatch logml.survival_analysis logml.survival_analysis.artifacts logml.survival_analysis.artifacts.base logml.survival_analysis.artifacts.cox logml.survival_analysis.artifacts.kaplan_meier logml.survival_analysis.artifacts.manager logml.survival_analysis.artifacts.optimal_cut_off logml.survival_analysis.artifacts.univariate_cox logml.survival_analysis.artifacts.utils logml.survival_analysis.artifacts.viz logml.survival_analysis.extractors logml.survival_analysis.extractors.base logml.survival_analysis.extractors.cox logml.survival_analysis.extractors.kaplan_meier logml.survival_analysis.extractors.optimal_cut_off logml.survival_analysis.extractors.utils logml.survival_analysis.handlers logml.survival_analysis.handlers.cox logml.survival_analysis.handlers.kaplan_meier logml.survival_analysis.handlers.optimal_cut_off logml.survival_analysis.handlers.utils logml.survival_analysis.optcutoff logml.survival_analysis.runner

MSLE (class in logml.metrics.registry.regression) MultiLabelEncodingTransformer (class in logml.data.transformers.encoding) mutations (logml.data.config.MutationsFilteringTransformerParams attribute)

N

n_dataset (logml.analysis.items.modeling.ModelingTransformerStepConfig attribute) n_features_to_select (logml.analysis.items.greedy_split.GreedySplitAnalysisConfig attribute) n_folds (logml.configuration.cross_validation.CrossValidationSection attribute) (logml.data.datasets.base.CrossValidationMixin property) n_iter (logml.feature_importance.extractors.permutation.PermutationFIExtractorParams attribute) n_jobs (logml.analysis.items.greedy_split.GreedySplitAnalysisConfig attribute) n_models (logml.configuration.modeling.FeatureImportanceMethod attribute) n_percentiles (logml.survival_analysis.extractors.optimal_cut_off.OptimalCutOffSAParams attribute) n_plots_to_show (logml.survival_analysis.extractors.kaplan_meier.KaplanMeierSAParams attribute) (logml.survival_analysis.extractors.optimal_cut_off.OptimalCutOffSAParams attribute) n_random_iters (logml.configuration.modeling.FeatureImportanceSection attribute) name (logml.analysis.common.JobResult attribute) (logml.analysis.config.PipelineItemConfig attribute) (logml.configuration.eda.EDAArtifactSection attribute) (logml.configuration.modeling.ColumnMetadataConfig attribute) (logml.configuration.modeling.ColumnSpec attribute) (logml.configuration.modeling.ModelSelectionConfig attribute) (logml.feature_importance.sfd.FIDSFeatureResult attribute) (logml.feature_importance.sfd.FIDSModelResult attribute) (logml.model_search.common.ModelEvaluationData attribute) (logml.model_search.hp_optimizer.HpoResult attribute) (logml.model_search.hp_optimizer.ModelHpoResult attribute)

NAME_REGEX (logml.models.registry.tree_based.LightGbmBaseModel attribute) nans_fraction_threshold (logml.configuration.modeling.DatasetPreprocessingPresetSection attribute) nans_per_row_fraction_threshold (logml.configuration.modeling.DatasetPreprocessingPresetSection attribute) new_columns_ (logml.data.transformers.decomposition.NMFDecompositionTransformer attribute) (logml.data.transformers.decomposition.PCADecompositionTransformer attribute) NMFDecompositionTransformer (class in logml.data.transformers.decomposition) normalization (logml.data.config.NormalizationTransformerParams attribute) normalize_numericals (logml.survival_analysis.extractors.cox.CoxSAParams attribute) NORMALIZER (logml.data.transformers.normalization.BaseNormalizationTransformer attribute) not_applicable (logml.models.base.MetricsResult attribute) not_selected_models (logml.model_search.common.ModelSelectionResult attribute) NOTEBOOKS (logml.report.ReportOutputStructure attribute) NotebooksGenerationRunner (class in logml.report.notebooks_generation_runner) NotebooksSet (class in logml.report.notebooks.base) nullify_outliers() (in module logml.data.utils) NullTracker (class in logml.stopwatch) num_initial_features (logml.feature_importance.sfd.FIDSResult attribute) num_models (logml.feature_importance.sfd.FIDSFeatureResult attribute) numeric_columns (logml.eda.artifacts.dimensionality_reduction.DimensionalityReduction attribute) (logml.eda.artifacts.metadata.DatasetMetadata attribute) numerical_features (logml.report.controllers.eda.EDAController property)

O

OBJECT (logml.data.metadata.DtypeKind attribute) objective (logml.feature_importance.sfd.FIDSResult property) objective_cfg (logml.feature_importance.sfd.FIDSResult attribute) Obsolete_NN (class in logml.data.transformers.utils) OCArtifactsHander (class in logml.survival_analysis.handlers.optimal_cut_off) OK (logml.analysis.common.JobStatus attribute) on_finish() (logml.stopwatch.Stopwatch method) on_start() (logml.stopwatch.Stopwatch method)

OneHotEncodingTransformer (class in logml.data.transformers.encoding) OPTIMAL_CUT_OFF_SUMMARY (logml.survival_analysis.OptimalCutOffSAOutputStructure attribute) OptimalCutOffArtifact (class in logml.survival_analysis.artifacts.optimal_cut_off) OptimalCutOffSAExtractor (class in logml.survival_analysis.extractors.optimal_cut_off) OptimalCutOffSAOutputStructure (class in logml.survival_analysis) order_columns_by_similarity() (in module logml.eda.artifacts_producers.utils) order_columns_using_linkage() (in module logml.eda.artifacts_producers.utils) output_shape (logml.data.utils.DataTransformLogItem attribute) OutputStructure (class in logml.common)

P

PackageReportStep (class in logml.analysis.items.modeling) pairwise_nan_distances (logml.eda.artifacts.missingness.MissingnessSummary attribute) params (logml.analysis.config.PipelineItemConfig attribute) (logml.configuration.cross_validation.CrossValidationSection attribute) (logml.configuration.eda.EDAArtifactsGenerationSection attribute) (logml.configuration.modeling.FeatureImportanceMethod attribute) (logml.configuration.modeling.PreprocessingStep attribute) (logml.configuration.survival_analysis.SurvivalAnalysisMethod attribute) (logml.data.config.NormalizationTransformerParams attribute) (logml.data.transformers.decomposition.BaseDecompositionTransformer attribute) (logml.data.transformers.decomposition.NMFDecompositionTransformer attribute) (logml.data.transformers.decomposition.PCADecompositionTransformer attribute) (logml.data.transformers.encoding.BinaryEncodingTransformer attribute) (logml.data.transformers.encoding.BucketizeTransformer attribute) (logml.data.transformers.encoding.DateTimeEncodingTransformer attribute) (logml.data.transformers.encoding.DNAIndicatorsBinarizationTransformer attribute) (logml.data.transformers.encoding.LabelEncodingTransformer attribute) (logml.data.transformers.encoding.MapEncodingTransformer attribute) (logml.data.transformers.encoding.MultiLabelEncodingTransformer attribute) (logml.data.transformers.encoding.OneHotEncodingTransformer attribute) (logml.data.transformers.filtering.DNASubsetFilteringTransformer attribute) (logml.data.transformers.filtering.DropColumnsTransformer attribute) (logml.data.transformers.filtering.DropColumnsWithoutMutationsTransformer attribute) (logml.data.transformers.filtering.DropHighMutualInfoColumnsTransformer attribute) (logml.data.transformers.filtering.DropLowVarianceColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanColumnsTransformer attribute) (logml.data.transformers.filtering.DropNanRowsTransformer attribute) (logml.data.transformers.filtering.PrevalenceFilteringTransformer attribute) (logml.data.transformers.filtering.RemoveCorrelatedColumnsTransformer attribute) (logml.data.transformers.filtering.SelectColumnsTransformer attribute) (logml.data.transformers.imputation.MICEImputeTransformer attribute) (logml.data.transformers.imputation.SimpleImputeTransformer attribute) (logml.data.transformers.lambdas.BaseLambdaTransformer attribute) (logml.data.transformers.lambdas.BinarizationLambdaTransformer attribute) (logml.data.transformers.lambdas.ConvertToFloatTransformer attribute) (logml.data.transformers.lambdas.Log1pLambdaTransformer attribute) (logml.data.transformers.lambdas.LogLambdaTransformer attribute) (logml.data.transformers.lambdas.QueryBooleanTransformer attribute) (logml.data.transformers.lambdas.ReplaceValueTransformer attribute) (logml.data.transformers.lambdas.ResolveMultipleChoiceTransformer attribute) (logml.data.transformers.metadata.SanitizeColumnsTransformer attribute) (logml.data.transformers.normalization.BaseNormalizationTransformer attribute) (logml.data.transformers.normalization.Log1pStandardNormalizationTransformer attribute) (logml.data.transformers.normalization.LogStandardNormalizationTransformer attribute) (logml.data.transformers.normalization.MaxAbsNormalizationTransformer attribute) (logml.data.transformers.normalization.MinMaxNegNormalizationTransformer attribute) (logml.data.transformers.normalization.MinMaxNormalizationTransformer attribute) (logml.data.transformers.normalization.StandardNormalizationTransformer attribute) (logml.data.transformers.randomization.AddRandomColumnsTransformer attribute) (logml.data.transformers.randomization.ShuffleTransformer attribute) (logml.data.transformers.unbalanced_data.DownsamplingTransformer attribute) (logml.data.transformers.unbalanced_data.UpsamplingTransformer attribute) (logml.model_search.common.ModelEvaluationData attribute) PARAMS_CLS (logml.analysis.base_item.AnalysisItem attribute) (logml.analysis.items.data_transform.DataTransformer attribute) (logml.analysis.items.greedy_split.GreedySplitSurvivalAnalysis attribute) (logml.analysis.items.modeling.AggregateFeatureImportanceStep attribute) (logml.analysis.items.modeling.EdaStep attribute) (logml.analysis.items.modeling.ExtractFeatureImportanceStep attribute) (logml.analysis.items.modeling.ModelingTransformer attribute) (logml.analysis.items.modeling.SelectModelsStep attribute) (logml.analysis.items.modeling.SurvivalAnalysisStep attribute) (logml.analysis.items.modeling.TrainModelStep attribute) params_space (logml.configuration.modeling.ModelSelectionConfig attribute) PARAMS_SPACE (logml.models.base.BaseModel attribute) (logml.models.registry.dummy.DummyClassifierModel attribute) (logml.models.registry.dummy.DummyRegressorModel attribute) (logml.models.registry.dummy.DummySurvivalModel attribute) (logml.models.registry.linear.ElasticNetModel attribute) (logml.models.registry.linear.LassoLarsAICModel attribute) (logml.models.registry.linear.LassoLarsBICModel attribute) (logml.models.registry.linear.LassoModel attribute) (logml.models.registry.linear.LogisticRegressionModel attribute) (logml.models.registry.linear.RidgeModel attribute) (logml.models.registry.naive_bayes.BernoulliNBClassifierModel attribute) (logml.models.registry.neighbors.KNeighborsClassifierModel attribute) (logml.models.registry.neighbors.KNeighborsRegressorModel attribute) (logml.models.registry.survival.CoxLassoModel attribute) (logml.models.registry.survival.CoxNetModel attribute) (logml.models.registry.survival.CoxRidgeModel attribute) (logml.models.registry.survival.GradientBoostingSAModel attribute) (logml.models.registry.survival.IPCRidgeModel attribute) (logml.models.registry.survival.RandomSurvivalForestModel attribute) (logml.models.registry.survival.SurvivalHingeLossSVMModel attribute) (logml.models.registry.survival.SurvivalKernelSVMModel attribute) (logml.models.registry.survival.SurvivalMinlipSVMModel attribute) (logml.models.registry.survival.SurvivalNaiveSVMModel attribute) (logml.models.registry.survival.SurvivalSVMModel attribute) (logml.models.registry.svm.LinearSVCClassifierModel attribute) (logml.models.registry.svm.SVCClassifierModel attribute) (logml.models.registry.svm.SVRClassifierModel attribute) (logml.models.registry.tree_based.DecisionTreeClassifierModel attribute) (logml.models.registry.tree_based.DecisionTreeRegressorModel attribute) (logml.models.registry.tree_based.ExtraTreesClassifierModel attribute) (logml.models.registry.tree_based.ExtraTreesRegressorModel attribute) (logml.models.registry.tree_based.GradientBoostingClassifierModel attribute) (logml.models.registry.tree_based.GradientBoostingRegressorModel attribute) (logml.models.registry.tree_based.LightGbmBaseModel attribute) (logml.models.registry.tree_based.RandomForestClassifierModel attribute) (logml.models.registry.tree_based.RandomForestRegressorModel attribute) parent_name (logml.configuration.modeling.ColumnMetadataConfig attribute) parse_arguments() (in module logml.analysis.main) parse_dates() (in module logml.data.readers)

parse_df_filter_string() (in module logml.data.utils) parse_nested_configs() (in module logml.configuration.base) patch_global_params_using_strata() (in module logml.configuration.stratification) pca_explained_variance (logml.eda.artifacts.dimensionality_reduction.DimensionalityReduction attribute) pca_features_weights (logml.eda.artifacts.dimensionality_reduction.DimensionalityReduction attribute) pca_output (logml.eda.artifacts.dimensionality_reduction.DimensionalityReduction attribute) PCADecompositionTransformer (class in logml.data.transformers.decomposition) PEARSON (logml.configuration.eda.CorrelationType attribute) perform_tier1_greedy (logml.configuration.modeling.FeatureImportanceSection attribute) PermutationImportanceEli5Extractor (class in logml.feature_importance.extractors.permutation) PICKLE_EXTENSION (logml.feature_importance.FeatureImportanceOutputStructure attribute) PipelineDag (class in logml.analysis.dag) plot() (logml.survival_analysis.artifacts.base.BaseArtifact method) (logml.survival_analysis.artifacts.cox.CoxArtifact method) (logml.survival_analysis.artifacts.kaplan_meier.KaplanMeierArtifact method) (logml.survival_analysis.artifacts.optimal_cut_off.OptimalCutOffArtifact method) plot_all_ranks_clustermap() (logml.report.controllers.feature_importance.CrossStrataFIController method) plot_all_ranks_similarity() (logml.report.controllers.feature_importance.CrossStrataFIController method) plot_barchart() (in module logml.report.plotters.ui_elements) plot_cardinality() (logml.report.controllers.eda.CategoricalSummary method) plot_class_distributions() (logml.report.controllers.eda.CategoricalSummary method) plot_classification_curves() (in module logml.report.plotters.baseline_modeling) plot_complete_dataset() (in module logml.report.controllers.eda) plot_confusion_matrix() (in module logml.report.plotters.baseline_modeling) plot_cv_mean() (in module logml.report.controllers.eda) plot_dim_reduction() (in module logml.report.controllers.eda) plot_feature_completeness() (in module logml.report.controllers.eda) plot_feature_loadings() (in module logml.report.controllers.eda) plot_first_three_components() (in module logml.report.controllers.eda) plot_general_summary() (in module logml.report.controllers.eda) plot_grid_plot() (in module logml.report.plotters.ui_elements) plot_highest_correlation() (in module logml.report.controllers.eda) plot_hpo_losses() (in module logml.report.plotters.baseline_modeling) (logml.report.controllers.baseline_modeling.ModelSelectionController method) plot_index_table() (in module logml.report.plotters.ui_elements) plot_km() (logml.report.controllers.greedy_split.GreedySplitViewController static method) plot_km_charts() (logml.report.controllers.greedy_split.GreedySplitViewController method) plot_mca_components() (logml.report.controllers.eda.CategoricalSummary method) plot_mca_scree_plot() (logml.report.controllers.eda.CategoricalSummary method) plot_metrics_distributions() (logml.report.controllers.baseline_modeling.ModelSelectionController method) plot_pie_chart() (logml.report.controllers.eda.CategoricalSummary method) plot_quantile_normal() (in module logml.report.controllers.eda) plot_regression_predictions() (in module logml.report.plotters.baseline_modeling) plot_regression_predictions_folded() (in module logml.report.plotters.baseline_modeling) plot_scatter() (in module logml.report.plotters.ui_elements) plot_scree() (in module logml.report.controllers.eda) plot_skew_kurt() (in module logml.report.controllers.eda) plot_stata_similarity_heatmaps() (in module logml.report.plotters.feature_importance) plot_strata_ranks_clustermap() (in module logml.report.plotters.feature_importance) plot_summary_table() (logml.report.controllers.feature_importance.FIDSController method) plot_table() (in module logml.report.plotters.ui_elements) plot_target_distribution() (logml.report.controllers.eda.EDAController method) plot_target_summary_classification() (in module logml.report.controllers.eda) plot_target_summary_regression() (in module logml.report.controllers.eda) populate_reporting_problems() (logml.configuration.global_config.GlobalConfig class method) PRCurve (class in logml.metrics.registry.classification) Precision (class in logml.metrics.registry.classification) predict() (logml.models.base.BaseModel method) (logml.models.registry.dummy.DummySurvivalEstimator method) predict_cv() (logml.models.base.BaseModel method) predict_fold() (logml.models.base.BaseModel method) (logml.models.registry.survival.CoxNetModel method) prefix (logml.data.config.DecompositionTransformerParams attribute) prepare_logger() (in module logml.log) prepare_params() (logml.analysis.base_item.AnalysisItem class method) (logml.analysis.items.data_transform.DataTransformer class method) prepare_runner() (in module logml.analysis.main) prepare_shap_state() (logml.model_search.shap.ShapExplainable method) preprocess() (logml.report.notebooks.base.InjectionRemovePreprocessor method) preprocess_cell() (logml.report.notebooks.base.InjectionRemovePreprocessor method) preprocessing_problem_id (logml.configuration.eda.EDAArtifactsGenerationSection attribute) PreprocessingDebugStep (class in logml.data.pipeline) PreprocessingPipeline (class in logml.data.pipeline) PreprocessingPipelineException preset (logml.configuration.modeling.DatasetPreprocessingSection attribute) (logml.configuration.modeling.ModelingSetup attribute) PrevalenceFilteringTransformer (class in logml.data.transformers.filtering) print_progress() (logml.survival_analysis.optcutoff.ProgressParallel method) print_schema() (in module logml.configuration.global_config) problem_id (logml.analysis.items.modeling.ModelingConfigBase attribute) (logml.report.controllers.report_summary.FeatureRankingResult attribute) problems (logml.configuration.modeling.ModelingSection attribute) (logml.configuration.survival_analysis.SurvivalAnalysisSection attribute) process (logml.analysis.main.JobProcessState attribute) produce() (logml.eda.artifacts_producers.base.BaseEDAArtifactsProducer method) (logml.eda.artifacts_producers.correlation.CorrelationSummaryProducer method) (logml.eda.artifacts_producers.dimensionality_reduction.DimensionalityReductionSummaryProducer method) (logml.eda.artifacts_producers.distributions.DistributionsSummaryProducer method) (logml.eda.artifacts_producers.metadata.MetadataProducer method) (logml.eda.artifacts_producers.missingness.MissingnessSummaryProducer method) (logml.eda.artifacts_producers.stats_summary.StatisticsSummaryProducer method) (logml.eda.manager.EDAArtifactsManager method) produce_and_execute_global_notebooks (logml.configuration.report.BaselineKitWorkflowSection attribute) produce_and_execute_global_notebooks() (logml.report.notebooks_generation_runner.NotebooksGenerationRunner method) produce_and_execute_strata_notebooks (logml.configuration.report.BaselineKitWorkflowSection attribute) produce_and_execute_strata_notebooks() (logml.report.notebooks_generation_runner.NotebooksGenerationRunner method) PROFILE_FILENAME (logml.analysis.common.DagOutputStructure attribute) ProgressParallel (class in logml.survival_analysis.optcutoff) propagate_status() (logml.analysis.dag.DagResult method) properties (logml.data.metadata.ColumnMetadata attribute) pvalue (logml.analysis.items.greedy_split.GreedySplitStrata attribute) (logml.model_search.common.ModelEvaluationData attribute) pvalue_threshold (logml.configuration.modeling.ModelSearchSection attribute)

Q

qty_rel_baseline (logml.feature_importance.sfd.FIDSModelResult attribute) qty_rel_orig (logml.feature_importance.sfd.FIDSModelResult attribute) query (logml.configuration.stratification.Strata attribute) (logml.data.config.QueryBooleanTransformerParams attribute)

query() (logml.common.BaseEligibleRegistrator method) query_models() (logml.models.registry.EligibleModels method) QueryBooleanTransformer (class in logml.data.transformers.lambdas)

R

R2Score (class in logml.metrics.registry.regression) rand_rank_threshold (logml.feature_importance.sfd.FIDSResult attribute) randint() (logml.common.RandomGen method) random_state (logml.configuration.cross_validation.CrossValidationSection attribute) (logml.configuration.global_config.GlobalConfig attribute) (logml.configuration.modeling.FeatureImportanceSection attribute) (logml.configuration.modeling.HPOSection attribute) (logml.data.config.MICETransformerParams attribute) (logml.feature_importance.extractors.permutation.PermutationFIExtractorParams attribute) RandomForestClassifierModel (class in logml.models.registry.tree_based) RandomForestRegressorModel (class in logml.models.registry.tree_based) RandomGen (class in logml.common) RandomSurvivalForestModel (class in logml.models.registry.survival) rank_composition_orig (logml.feature_importance.sfd.FIDSResult attribute) rank_composition_stable (logml.feature_importance.sfd.FIDSResult attribute) rank_nodes_by_degree() (logml.eda.artifacts.correlation.CorrelationGraph method) RANKED_FI_SUMMARY (logml.feature_importance.FeatureImportanceOutputStructure attribute) ranks (logml.feature_importance.sfd.FIDSFeatureResult attribute) ranks_table (logml.report.controllers.report_summary.FeatureRankingResult attribute) raw_fis (logml.feature_importance.extractors.model_based.ModelBasedImportanceExtractor attribute) (logml.feature_importance.extractors.model_interpret.ModelInterpretImportanceExtractor attribute) (logml.feature_importance.extractors.permutation.PermutationImportanceEli5Extractor attribute) raw_logrank_p_value (logml.survival_analysis.artifacts.kaplan_meier.KaplanMeierArtifact property) raw_loss (logml.model_search.common.ModelEvaluationData attribute) raw_metrics (logml.model_search.common.ModelEvaluationData attribute) raw_metrics_erros (logml.model_search.common.ModelEvaluationData attribute) raw_metrics_not_applicable (logml.model_search.common.ModelEvaluationData attribute) read_dataframe() (in module logml.data.readers) read_feature_importance_artifact() (logml.report.controllers.feature_importance.FeatureImportanceController static method) (logml.report.controllers.feature_importance.FIDSController static method) Recall (class in logml.metrics.registry.classification) refit (logml.feature_importance.extractors.permutation.PermutationFIExtractorParams attribute) refs (logml.configuration.global_config.ConfigSources attribute) REG (logml.common.ModelingTask attribute) register() (logml.common.BaseEligibleRegistrator class method) RELEASE (logml.report.packaging.ReleaseStructure attribute) release_archive_folder (logml.report.packaging.ReleaseStructure property) release_archive_path (logml.report.packaging.ReleaseStructure property) release_artifacts (logml.analysis.config.PipelineItemConfig attribute) ReleasePath (class in logml.analysis.base_item) ReleaseStructure (class in logml.report.packaging) remove_base_columns (logml.data.config.BucketizeTransformerParams attribute) remove_cell_tags (logml.report.notebooks.base.InjectionRemovePreprocessor attribute) remove_correlated_features (logml.configuration.modeling.DatasetPreprocessingPresetSection attribute) remove_steps() (logml.analysis.dag.DagResult method) RemoveCorrelatedColumnsTransformer (class in logml.data.transformers.filtering) render_dag_image() (logml.report.views.diagnostics.ReportDiagnosticsView method) render_execution() (logml.report.views.diagnostics.ReportDiagnosticsView method) render_missingness_overview() (logml.report.controllers.eda.EDAController method) render_summary() (logml.report.views.diagnostics.ReportDiagnosticsView static method) render_template() (in module logml.report.notebooks.base) rendered_report_path (logml.report.ReportOutputStructure property) reorder_matrix() (in module logml.report.controllers.eda) ReplaceValueTransformer (class in logml.data.transformers.lambdas) report (logml.configuration.global_config.GlobalConfig attribute) report_diagnostics (logml.configuration.report.ReportStructure attribute) report_exists() (logml.report.ReportOutputStructure method) REPORT_INDEX (logml.report.ReportOutputStructure attribute) report_index_path (logml.report.ReportOutputStructure property) report_link (logml.analysis.base_item.AnalysisMetadata attribute) report_path (logml.report.packaging.ReleaseStructure property) report_section (logml.report.notebooks.base.BKNotebookMetadata attribute) REPORT_SOURCES (logml.report.ReportOutputStructure attribute) report_structure (logml.configuration.report.ReportSection attribute) report_summary (logml.configuration.report.ReportStructure attribute)

ReportDiagnosticsNotebook (class in logml.report.notebooks.diagnostics) ReportDiagnosticsView (class in logml.report.views.diagnostics) ReportOutputStructure (class in logml.report) ReportSummaryNotebook (class in logml.report.notebooks.master_summary) REQUIRED (logml.metrics.base.BaseMetric attribute) (logml.metrics.registry.classification.RocCurve attribute) reset() (logml.analysis.common.JobResult method) (logml.data.pipeline.PreprocessingPipeline method) reset_state() (logml.analysis.dag.DagResult method) (logml.stopwatch.Stopwatch method) resolve_multiple_choice() (in module logml.data.transformers.lambdas) ResolveMultipleChoiceTransformer (class in logml.data.transformers.lambdas) resources (logml.analysis.common.JobDefinition attribute) result (logml.analysis.items.greedy_split.FindGeneSet property) (logml.analysis.main.JobProcessState attribute) result_bl (logml.feature_importance.sfd.FIDSResult attribute) RESULT_CLS (logml.analysis.base_item.AnalysisItem attribute) (logml.analysis.items.data_transform.DataTransformer attribute) (logml.analysis.items.greedy_split.GreedySplitSurvivalAnalysis attribute) result_orig (logml.feature_importance.sfd.FIDSResult attribute) result_path (logml.analysis.base_item.AnalysisMetadata attribute) result_stable (logml.feature_importance.sfd.FIDSResult attribute) RidgeModel (class in logml.models.registry.linear) right_bound (logml.data.config.BucketDefinition attribute) RMSE (class in logml.metrics.registry.regression) rnaseq_differential_expression (logml.configuration.report.ReportStructure attribute) rnaseq_enrichment_analysis (logml.configuration.report.ReportStructure attribute) RNASeqDifferentialExpressionNotebook (class in logml.report.notebooks.rnaseq_gsa) RNASeqEnrichmentAnalysisNotebook (class in logml.report.notebooks.rnaseq_gsa) RocAUC (class in logml.metrics.registry.classification) RocCurve (class in logml.metrics.registry.classification) ROOT (logml.report.ReportOutputStructure attribute) root_config_path (logml.report.packaging.ReleaseStructure property) root_path (logml.common.OutputStructure property) run() (logml.analysis.base_item.AnalysisItem method) (logml.analysis.items.data_transform.DataTransformer method) (logml.analysis.items.greedy_split.FindGeneSet method) (logml.analysis.items.greedy_split.GreedySplitSurvivalAnalysis method) (logml.analysis.items.modeling.AggregateFeatureImportanceStep method) (logml.analysis.items.modeling.EdaStep method) (logml.analysis.items.modeling.ExtractFeatureImportanceStep method) (logml.analysis.items.modeling.GenerateReportStep method) (logml.analysis.items.modeling.ModelingItemBase method) (logml.analysis.items.modeling.ModelingTransformer method) (logml.analysis.items.modeling.PackageReportStep method) (logml.analysis.items.modeling.SelectModelsStep method) (logml.analysis.items.modeling.SurvivalAnalysisStep method) (logml.analysis.items.modeling.TrainModelStep method) (logml.analysis.runner.AnalysisRunner method) (logml.common.BaseRunner method) (logml.data.generators.DatasetGenerator method) (logml.eda.runner.EDAArtifactsGenerationRunner method) (logml.feature_importance.sfd.FIDSRunner method) (logml.model_search.selection.ModelSelection method) (logml.report.notebooks_generation_runner.NotebooksGenerationRunner method) (logml.report.packaging.global_runner.GlobalArtifactsPackagingRunner method) (logml.report.packaging.strata_runner.StrataArtifactsPackagingRunner method) (logml.report.report_runner.BaselinekitReportRunner method) (logml.survival_analysis.extractors.cox.CoxSAExtractor method) (logml.survival_analysis.extractors.kaplan_meier.KaplanMeierSAExtractor method) (logml.survival_analysis.extractors.optimal_cut_off.OptimalCutOffSAExtractor method) (logml.survival_analysis.runner.SurvivalAnalysisRunner method) run_fids() (logml.feature_importance.sfd.FIDSEnv method) run_model_fids() (logml.feature_importance.sfd.FIDSEnv method) run_single_model() (logml.feature_importance.sfd.FIDSRunner method) RUNNING (logml.analysis.common.JobStatus attribute)

S

SAArtifactException SAArtifactsHandlerException SAExtractorException sanitize() (in module logml.feature_importance.sfd) sanitize_column() (in module logml.data.readers) sanitize_columns() (in module logml.data.readers) SanitizeColumnsTransformer (class in logml.data.transformers.metadata) SAOptimalCutoff (class in logml.survival_analysis.optcutoff) save() (logml.configuration.base.YamlAdapter method) save_plot() (logml.survival_analysis.artifacts.base.BaseArtifact method) scope (logml.data.config.EncodingTransformerParams attribute) SCOPE (logml.report.notebooks.analysis.GreedySplitNotebook attribute) (logml.report.notebooks.base.BaseReportItem attribute) (logml.report.notebooks.base.CustomNotebook attribute) (logml.report.notebooks.diagnostics.ReportDiagnosticsNotebook attribute) (logml.report.notebooks.eda.CategoricalSummaryNotebook attribute) (logml.report.notebooks.eda.DimensionalityReductionNotebook attribute) (logml.report.notebooks.eda.DistributionsSummaryNotebook attribute) (logml.report.notebooks.eda.EDANotebooksSet attribute) (logml.report.notebooks.eda.FacetsDiveNotebook attribute) (logml.report.notebooks.eda.InitializeDataNotebook attribute) (logml.report.notebooks.eda.MissingnessNotebook attribute) (logml.report.notebooks.eda.StatisticsSummaryNotebook attribute) (logml.report.notebooks.master_summary.MasterSummaryNotebook attribute) (logml.report.notebooks.master_summary.ReportSummaryNotebook attribute) (logml.report.notebooks.master_summary.StandaloneSummaryPage attribute) (logml.report.notebooks.modeling.BaselineModelingNotebook attribute) (logml.report.notebooks.modeling.CrossStrataFINotebook attribute) (logml.report.notebooks.modeling.FeatureImportanceNotebook attribute) (logml.report.notebooks.modeling.ModelingNotebooksSet attribute) (logml.report.notebooks.rnaseq_gsa.RNASeqDifferentialExpressionNotebook attribute) (logml.report.notebooks.rnaseq_gsa.RNASeqEnrichmentAnalysisNotebook attribute) (logml.report.notebooks.survival_analysis.SurvivalAnalysisNotebook attribute) search() (logml.model_search.hp_optimizer.HyperParamsOptimizerCore method) select() (logml.data.datasets.cv_dataset.ModelingDataset method) select_least_significant_features() (logml.survival_analysis.artifacts.cox.CoxArtifact method) select_top_features() (logml.report.controllers.feature_importance.FeatureImportanceController method) select_unknown_entities() (logml.common.BaseEligibleRegistrator method) select_vardict_mut_features() (logml.report.controllers.feature_importance.FeatureImportanceController method) SelectColumnsTransformer (class in logml.data.transformers.filtering) selected_models (logml.model_search.common.ModelSelectionResult attribute) selection_test (logml.model_search.common.ModelEvaluationData attribute) SelectModelsStep (class in logml.analysis.items.modeling) separator (logml.data.config.MultiLabelOneHotTransformerParams attribute) set_cutoff_mapping() (logml.survival_analysis.handlers.cox.CoxArtifactsHandler method) set_cv() (logml.data.datasets.base.CrossValidationMixin method) set_default_models() (logml.configuration.modeling.ModelSearchSection method) set_features_list() (logml.data.datasets.cv_dataset.ModelingDataset method) set_km_artifacts_managers() (logml.survival_analysis.handlers.kaplan_meier.KMArtifactsHandler method) set_km_lo_hi_thresholds() (logml.survival_analysis.handlers.kaplan_meier.KMArtifactsHandler method) set_shap_invoke_params() (logml.model_search.shap.ShapExplainable method) set_status() (logml.analysis.main.JobProcessState method) set_target_columns() (logml.survival_analysis.handlers.cox.CoxArtifactsHandler method) SETUP (logml.report.notebooks.base.BKNotebookScopes attribute) SHAP (logml.model_search.shap.ModelExplainerType attribute) shap_exp (logml.model_search.shap.ShapExplanationWrapper attribute) ShapExplainable (class in logml.model_search.shap) ShapExplainerContext (class in logml.model_search.shap) ShapExplainerState (class in logml.model_search.shap) ShapExplanationWrapper (class in logml.model_search.shap) ShapModelExplainer (class in logml.model_search.shap) show_all_strata_comparison_heatmap() (logml.report.controllers.feature_importance.CrossStrataFIController method) show_association_with_target() (logml.report.controllers.feature_importance.FeatureImportanceController method) show_bootstrapping_result() (logml.report.controllers.feature_importance.FeatureImportanceController method) show_categorical_features() (logml.report.controllers.eda.EDAController method) show_categorical_target_vs_numerical_features_associations() (in module logml.report.plotters.feature_importance) show_classification_curves() (logml.report.controllers.baseline_modeling.ModelSelectionController method) show_classification_predictions() (logml.report.controllers.baseline_modeling.ModelSelectionController method) show_coefficient_of_variation_plot() (logml.report.controllers.eda.EDAController method) show_coefficient_of_variation_table() (logml.report.controllers.eda.EDAController method) show_complete_dataset_for_all() (logml.report.controllers.eda.EDAController method) show_complete_fi_summary() (logml.report.controllers.feature_importance.FeatureImportanceController method) show_continuous_features() (logml.report.controllers.eda.EDAController method) show_correlation_groups() (logml.report.controllers.eda.EDAController method) show_correlation_table_plots() (logml.report.controllers.eda.EDAController method) show_cox_backward_path_summary() (logml.report.controllers.survival_analysis.SurvivalAnalysisController method) show_cox_forward_path_summary() (logml.report.controllers.survival_analysis.SurvivalAnalysisController method) show_cross_strata_fi_rankings_scatter() (in module logml.report.plotters.feature_importance) show_dataset_head() (logml.report.controllers.eda.EDAController method) show_dataset_tail() (logml.report.controllers.eda.EDAController method) show_descriptive_stats_for_numericals() (logml.report.controllers.eda.EDAController method) show_distributions_heatmap() (logml.report.controllers.eda.EDAController method) show_feature_completeness_for_all() (logml.report.controllers.eda.EDAController method) show_fi_for_top_features() (logml.report.controllers.feature_importance.FeatureImportanceController method) show_fi_for_vardict_mut_features() (logml.report.controllers.feature_importance.FeatureImportanceController method) show_fi_methods_overview() (logml.report.controllers.feature_importance.FeatureImportanceController method) show_final_cox_model() (logml.report.controllers.survival_analysis.SurvivalAnalysisController method) show_general_summary() (logml.report.controllers.eda.EDAController method) show_global_fi_overview() (logml.report.controllers.feature_importance.FeatureImportanceController method) show_highest_correlation_pairs() (logml.report.controllers.eda.EDAController method) show_initial_cox_model() (logml.report.controllers.survival_analysis.SurvivalAnalysisController method) show_initial_cox_summary() (logml.report.controllers.survival_analysis.SurvivalAnalysisController method) show_km_plots() (logml.report.controllers.survival_analysis.SurvivalAnalysisController method) show_lda_plots() (logml.report.controllers.eda.EDAController method) show_mca_components() (logml.report.controllers.eda.EDAController method) show_mca_loadings() (logml.report.controllers.eda.EDAController method) show_mca_output() (logml.report.controllers.eda.EDAController method) show_mca_scree() (logml.report.controllers.eda.EDAController method) show_missing_data_matrix() (logml.report.controllers.eda.EDAController method) show_missingness_for_categoricals() (logml.report.controllers.eda.EDAController method) show_missingness_for_numericals() (logml.report.controllers.eda.EDAController method) show_missingness_per_feature() (logml.report.controllers.eda.EDAController method)

show_missingness_similarity() (logml.report.controllers.eda.EDAController method) show_numerical_target_vs_categorical_features_associations() (in module logml.report.plotters.feature_importance) show_numerical_target_vs_numerical_features_associations() (in module logml.report.plotters.feature_importance) show_oc_plots() (logml.report.controllers.survival_analysis.SurvivalAnalysisController method) show_pca_components() (logml.report.controllers.eda.EDAController method) show_pca_loadings() (logml.report.controllers.eda.EDAController method) show_pca_output() (logml.report.controllers.eda.EDAController method) show_pca_scree() (logml.report.controllers.eda.EDAController method) show_performance_metrics() (logml.report.controllers.baseline_modeling.ModelSelectionController method) show_prediction_details() (logml.report.controllers.baseline_modeling.ModelSelectionController method) show_problem_statement() (logml.report.controllers.feature_importance.FeatureImportanceController method) (logml.report.controllers.feature_importance.FIDSController method) show_qn_plots() (logml.report.controllers.eda.EDAController method) show_ranking_scatter_plot() (in module logml.report.plotters.feature_importance) show_regression_predictions() (logml.report.controllers.baseline_modeling.ModelSelectionController method) show_skew_kurt_plot() (logml.report.controllers.eda.EDAController method) show_strata_overview() (logml.report.controllers.feature_importance.CrossStrataFIController method) show_summary() (logml.survival_analysis.artifacts.cox.CoxArtifact method) show_target_overview() (logml.report.controllers.survival_analysis.SurvivalAnalysisController method) show_target_type() (logml.report.controllers.eda.EDAController method) show_tsne() (logml.report.controllers.eda.EDAController method) show_two_strata_comparison_scatter() (logml.report.controllers.feature_importance.CrossStrataFIController method) SHUFFLE (logml.configuration.cross_validation.CVSplitType attribute) shuffle_column() (in module logml.data.utils) ShuffleTransformer (class in logml.data.transformers.randomization) similarity_order (logml.eda.artifacts.missingness.MissingnessSummary attribute) SimpleImputeTransformer (class in logml.data.transformers.imputation) Singleton (class in logml.common) size (logml.data.datasets.survival_dataset.UnivariateSurvivalContainer property) SKIPPED (logml.model_search.common.ModelHpoStatus attribute) SkipTemplateRenderException sort_selection_result() (logml.model_search.provider.ModelProvider method) source_files (logml.configuration.global_config.GlobalConfig attribute) SPEARMAN (logml.configuration.eda.CorrelationType attribute) split_type (logml.configuration.cross_validation.CrossValidationSection attribute) src_path (logml.analysis.base_item.ReleasePath attribute) stable_features (logml.feature_importance.sfd.FIDSResult attribute) stable_features_before_rand_threshold (logml.feature_importance.sfd.FIDSResult attribute) StandaloneReportSummaryController (class in logml.report.controllers.report_summary) StandaloneSummaryPage (class in logml.report.notebooks.master_summary) StandaloneSummaryView (class in logml.report.views.master_summary) StandardNormalizationTransformer (class in logml.data.transformers.normalization) start() (logml.analysis.main.JobProcessState method) start_time (logml.analysis.common.JobResult attribute) stat (logml.analysis.items.greedy_split.GreedySplitStrata attribute) STATIC_FOLDER (logml.report.ReportOutputStructure attribute) StatisticsSummary (class in logml.eda.artifacts.stats_summary) StatisticsSummaryNotebook (class in logml.report.notebooks.eda) StatisticsSummaryProducer (class in logml.eda.artifacts_producers.stats_summary) StatisticsSummaryView (class in logml.report.views.statistics) status (logml.analysis.base_item.AnalysisMetadata attribute) (logml.analysis.common.JobResult attribute) (logml.feature_importance.sfd.FIDSResult attribute) std_metrics (logml.model_search.common.ModelEvaluationData attribute) steps (logml.configuration.modeling.DatasetPreprocessingSection attribute) STEPS_FOLDER (logml.analysis.common.DagOutputStructure attribute) Stopwatch (class in logml.stopwatch) STRATA (logml.report.notebooks.base.BKNotebookScopes attribute) strata_id (logml.configuration.stratification.Strata attribute) StrataArtifactsPackagingRunner (class in logml.report.packaging.strata_runner) stratas (logml.analysis.items.greedy_split.GreedySplitAnalysisResult attribute) strategy (logml.data.transformers.imputation.SimpleImputerParams attribute) stratification (logml.configuration.global_config.GlobalConfig attribute) stratify_column (logml.analysis.items.greedy_split.GreedySplitAnalysisConfig attribute) stratify_global_params() (in module logml.configuration.stratification) stratum_high_resources_estimator() (in module logml.analysis.items.modeling) stratum_id (logml.analysis.items.modeling.ModelingConfigBase attribute) (logml.report.controllers.report_summary.FeatureRankingResult attribute) stratum_query (logml.report.controllers.report_summary.FeatureRankingResult attribute) StrEnum (class in logml.common) SUCCESS (logml.model_search.common.ModelHpoStatus attribute) (logml.report.notebooks.base.BKNotebookExecutionStatus attribute) suffix (logml.data.config.BucketizeTransformerParams attribute) summary (logml.analysis.items.greedy_split.GreedySplitStrata attribute) SUMMARY (logml.feature_importance.FeatureImportanceOutputStructure attribute) SUMMARY_FILENAME (logml.model_search.ModelSearchOutputStructure attribute) SUMMARY_FOLDER (logml.survival_analysis.BaseSAMethodsOutputStructure attribute) SURV (logml.common.ModelingTask attribute) survival_analysis (logml.configuration.global_config.GlobalConfig attribute) (logml.configuration.report.MasterSummarySection attribute) (logml.configuration.report.ReportStructure attribute) SURVIVAL_ANALYSIS (logml.survival_analysis.SurvivalAnalysisOutputStructure attribute) survival_column (logml.analysis.items.greedy_split.GreedySplitAnalysisConfig attribute) survival_feature_importance (logml.configuration.report.MasterSummarySection attribute) survival_metric (logml.configuration.survival_analysis.SurvivalAnalysisSetup attribute) survival_section_enabled() (logml.configuration.global_config.GlobalConfig method) SurvivalAnalysisController (class in logml.report.controllers.survival_analysis) SurvivalAnalysisNotebook (class in logml.report.notebooks.survival_analysis) SurvivalAnalysisOutputStructure (class in logml.survival_analysis) SurvivalAnalysisResult (class in logml.analysis.items.modeling) SurvivalAnalysisRunner (class in logml.survival_analysis.runner) SurvivalAnalysisStep (class in logml.analysis.items.modeling) SurvivalAnalysisView (class in logml.report.views.survival_analysis) SurvivalDataset (class in logml.data.datasets.survival_dataset) SurvivalFeatureImportanceSummaryView (class in logml.report.views.survival_feature_importance) SurvivalHingeLossSVMModel (class in logml.models.registry.survival) SurvivalKernelSVMModel (class in logml.models.registry.survival) SurvivalMinlipSVMModel (class in logml.models.registry.survival) SurvivalNaiveSVMModel (class in logml.models.registry.survival) SurvivalSVMModel (class in logml.models.registry.survival) SVCClassifierModel (class in logml.models.registry.svm) SVRClassifierModel (class in logml.models.registry.svm)

T

TAGS (logml.models.base.BaseModel attribute) (logml.models.registry.dummy.BaseDummyModel attribute) (logml.models.registry.linear.BaseLinearClassifierModel attribute) (logml.models.registry.linear.BaseLinearModel attribute) (logml.models.registry.linear.BaseSMLinearModel attribute) (logml.models.registry.naive_bayes.BernoulliNBClassifierModel attribute) (logml.models.registry.neighbors.BaseNeighborsModel attribute) (logml.models.registry.survival.CoxNetModel attribute) (logml.models.registry.survival.GradientBoostingSAModel attribute) (logml.models.registry.survival.IPCRidgeModel attribute) (logml.models.registry.survival.RandomSurvivalForestModel attribute) (logml.models.registry.survival.SurvivalHingeLossSVMModel attribute) (logml.models.registry.survival.SurvivalKernelSVMModel attribute) (logml.models.registry.survival.SurvivalMinlipSVMModel attribute) (logml.models.registry.survival.SurvivalNaiveSVMModel attribute) (logml.models.registry.survival.SurvivalSVMModel attribute) (logml.models.registry.svm.BaseSVMModel attribute) (logml.models.registry.tree_based.BaseDecisionTreeModel attribute) (logml.models.registry.tree_based.BaseTreeEnsembleModel attribute) target (logml.configuration.modeling.ModelingTaskSpec attribute) (logml.report.controllers.eda.EDAController property) target_column (logml.configuration.modeling.ModelingTargetSpec attribute) (logml.data.datasets.cv_dataset.ModelingDataset property) (logml.feature_importance.sfd.FIDSResult property) target_labels (logml.data.datasets.cv_dataset.ModelingDataset property) target_metric (logml.configuration.modeling.ModelingTargetSpec attribute) (logml.configuration.modeling.ModelingTaskSpec attribute) (logml.configuration.modeling.SurvivalTimeSpec attribute) (logml.data.datasets.cv_dataset.ModelingDataset property) task (logml.configuration.modeling.ModelingTargetSpec attribute) (logml.configuration.modeling.ModelingTaskSpec attribute) (logml.data.datasets.cv_dataset.ModelingDataset property) TASK (logml.metrics.base.BaseMetric attribute) (logml.metrics.registry.classification.BaseClassificationMetric attribute) (logml.metrics.registry.classification.LogLoss attribute) (logml.metrics.registry.regression.BaseRegressionMetric attribute) (logml.metrics.registry.survival.CIndex attribute) (logml.models.base.BaseModel attribute) (logml.models.registry.dummy.DummyClassifierModel attribute) (logml.models.registry.dummy.DummyRegressorModel attribute) (logml.models.registry.dummy.DummySurvivalModel attribute) (logml.models.registry.linear.BaseLinearClassifierModel attribute) (logml.models.registry.linear.BaseLinearModel attribute) (logml.models.registry.naive_bayes.BernoulliNBClassifierModel attribute) (logml.models.registry.neighbors.KNeighborsClassifierModel attribute) (logml.models.registry.neighbors.KNeighborsRegressorModel attribute) (logml.models.registry.survival.CoxNetModel attribute) (logml.models.registry.survival.GradientBoostingSAModel attribute) (logml.models.registry.survival.IPCRidgeModel attribute) (logml.models.registry.survival.RandomSurvivalForestModel attribute) (logml.models.registry.survival.SurvivalHingeLossSVMModel attribute) (logml.models.registry.survival.SurvivalKernelSVMModel attribute) (logml.models.registry.survival.SurvivalMinlipSVMModel attribute) (logml.models.registry.survival.SurvivalNaiveSVMModel attribute) (logml.models.registry.survival.SurvivalSVMModel attribute) (logml.models.registry.svm.LinearSVCClassifierModel attribute) (logml.models.registry.svm.SVCClassifierModel attribute) (logml.models.registry.svm.SVRClassifierModel attribute) (logml.models.registry.tree_based.DecisionTreeClassifierModel attribute) (logml.models.registry.tree_based.DecisionTreeRegressorModel attribute) (logml.models.registry.tree_based.ExtraTreesClassifierModel attribute) (logml.models.registry.tree_based.ExtraTreesRegressorModel attribute) (logml.models.registry.tree_based.GradientBoostingClassifierModel attribute) (logml.models.registry.tree_based.GradientBoostingRegressorModel attribute) (logml.models.registry.tree_based.LightGbmClassifierModel attribute) (logml.models.registry.tree_based.LightGbmRegressorModel attribute) (logml.models.registry.tree_based.RandomForestClassifierModel attribute) (logml.models.registry.tree_based.RandomForestRegressorModel attribute) task (logml.report.controllers.eda.EDAController property) TEMPLATE_NAME (logml.report.notebooks.base.TemplatedArtifact attribute) (logml.report.notebooks.master_summary.ReportSummaryNotebook attribute) TemplatedArtifact (class in logml.report.notebooks.base) TemplateLoader (class in logml.report.notebooks.base)

TEMPLATES (logml.report.ReportOutputStructure attribute) test_size (logml.configuration.cross_validation.CrossValidationSection attribute) threshold (logml.data.config.BinarizationLambdaTransformerParams attribute) THRESHOLD (logml.data.config.DropNaMode attribute) threshold (logml.data.config.DropNanRowsTransformerParams attribute) (logml.data.config.FilteringTransformerParams attribute) (logml.data.config.PrevalenceFilteringTransformerParams attribute) (logml.data.datasets.survival_dataset.UnivariateSurvivalContainer attribute) (logml.survival_analysis.artifacts.cox.CoxArtifact attribute) (logml.survival_analysis.artifacts.kaplan_meier.KaplanMeierArtifact attribute) (logml.survival_analysis.artifacts.optimal_cut_off.OptimalCutOffArtifact attribute) time_column (logml.configuration.modeling.SurvivalTimeSpec attribute) TIMEDELTA (logml.data.metadata.DtypeKind attribute) timeout (logml.analysis.common.JobResourcesReqs attribute) times (logml.data.datasets.survival_dataset.UnivariateSurvivalContainer attribute) TimeTracker (class in logml.stopwatch) to_dataframe() (logml.analysis.dag.PipelineDag method) to_dict() (logml.data.metadata.DatasetMetadata method) to_quantile_df() (in module logml.report.plotters.ui_elements) toc_entry (logml.report.notebooks.base.BKNotebookMetadata attribute) TOCGenerator (class in logml.report.toc_generation) topic (logml.report.notebooks.base.BKNotebookMetadata attribute) topological_sort_items() (in module logml.eda.manager) tr (logml.data.pipeline.PreprocessingDebugStep attribute) track() (logml.stopwatch.Stopwatch method) train_and_eval() (in module logml.feature_importance.sfd) train_and_evaluate() (logml.model_search.selection.ModelSelection method) train_idx (logml.model_search.shap.ShapExplainerContext attribute) TrainModelStep (class in logml.analysis.items.modeling) transform() (logml.data.base.BaseTransformer method) (logml.data.pipeline.PreprocessingPipeline method) (logml.data.transformers.decomposition.BaseDecompositionTransformer method) (logml.data.transformers.encoding.BinaryEncodingTransformer method) (logml.data.transformers.encoding.BucketizeTransformer method) (logml.data.transformers.encoding.DateTimeEncodingTransformer method) (logml.data.transformers.encoding.DNAIndicatorsBinarizationTransformer method) (logml.data.transformers.encoding.LabelEncodingTransformer method) (logml.data.transformers.encoding.MapEncodingTransformer method) (logml.data.transformers.encoding.MultiLabelEncodingTransformer method) (logml.data.transformers.encoding.OneHotEncodingTransformer method) (logml.data.transformers.filtering.DNASubsetFilteringTransformer method) (logml.data.transformers.filtering.DropColumnsTransformer method) (logml.data.transformers.filtering.DropColumnsWithoutMutationsTransformer method) (logml.data.transformers.filtering.DropHighMutualInfoColumnsTransformer method) (logml.data.transformers.filtering.DropLowVarianceColumnsTransformer method) (logml.data.transformers.filtering.DropNanColumnsTransformer method) (logml.data.transformers.filtering.DropNanRowsTransformer method) (logml.data.transformers.filtering.PrevalenceFilteringTransformer method) (logml.data.transformers.filtering.RemoveCorrelatedColumnsTransformer method) (logml.data.transformers.filtering.SelectColumnsTransformer method) (logml.data.transformers.imputation.MICEImputeTransformer method) (logml.data.transformers.imputation.SimpleImputeTransformer method) (logml.data.transformers.lambdas.BaseLambdaTransformer method) (logml.data.transformers.lambdas.QueryBooleanTransformer method) (logml.data.transformers.lambdas.ReplaceValueTransformer method) (logml.data.transformers.metadata.SanitizeColumnsTransformer method) (logml.data.transformers.normalization.BaseNormalizationTransformer method) (logml.data.transformers.randomization.AddRandomColumnsTransformer method) (logml.data.transformers.randomization.ShuffleTransformer method) (logml.data.transformers.unbalanced_data.DownsamplingTransformer method) (logml.data.transformers.unbalanced_data.UpsamplingTransformer method) transformer (logml.configuration.modeling.PreprocessingStep attribute) TransformerException TrialResult (class in logml.feature_importance.sfd) TrialResults (class in logml.model_search.hp_optimizer) trials (logml.model_search.hp_optimizer.HpoResult attribute) (logml.model_search.hp_optimizer.ModelHpoResult attribute) truncate_column_names() (in module logml.data.utils) try_load_step_result() (logml.analysis.dag.DagResult method) try_validate_model() (logml.models.registry.EligibleModels method) tsne_output (logml.eda.artifacts.dimensionality_reduction.DimensionalityReduction attribute) type (logml.analysis.common.JobDefinition attribute) (logml.analysis.config.PipelineItemConfig attribute) (logml.configuration.cross_validation.CrossValidationSection attribute)

U

u_test_diff() (in module logml.feature_importance.sfd) u_test_greater() (in module logml.feature_importance.sfd) UINT (logml.data.metadata.DtypeKind attribute) UNDEFINED (logml.report.notebooks.base.BKNotebookExecutionStatus attribute) UNICODE (logml.data.metadata.DtypeKind attribute) unique_id (logml.analysis.common.JobDefinition attribute) unique_name (logml.analysis.base_item.AnalysisMetadata attribute) univariate_p_value_threshold (logml.survival_analysis.extractors.cox.CoxSAParams attribute) unknown_values (logml.data.config.MapEncodingTransformerParams attribute) update() (logml.survival_analysis.artifacts.manager.ArtifactManager method) update_metadata() (logml.data.base.BaseTransformer method) (logml.data.transformers.decomposition.BaseDecompositionTransformer method) (logml.data.transformers.encoding.BinaryEncodingTransformer method) (logml.data.transformers.encoding.BucketizeTransformer method) (logml.data.transformers.encoding.DateTimeEncodingTransformer method) (logml.data.transformers.encoding.LabelEncodingTransformer method) (logml.data.transformers.encoding.MapEncodingTransformer method) (logml.data.transformers.encoding.MultiLabelEncodingTransformer method) (logml.data.transformers.encoding.OneHotEncodingTransformer method) (logml.data.transformers.filtering.RemoveCorrelatedColumnsTransformer method) (logml.data.transformers.lambdas.ConvertToFloatTransformer method) (logml.data.transformers.metadata.SanitizeColumnsTransformer method) (logml.data.transformers.randomization.AddRandomColumnsTransformer method)

update_target_values() (logml.data.datasets.cv_dataset.ModelingDataset method) update_transform_log() (logml.data.base.BaseTransformer method) (logml.data.transformers.encoding.LabelEncodingTransformer method) (logml.data.transformers.filtering.DropColumnsTransformer method) (logml.data.transformers.filtering.DropLowVarianceColumnsTransformer method) (logml.data.transformers.filtering.DropNanColumnsTransformer method) (logml.data.transformers.filtering.RemoveCorrelatedColumnsTransformer method) (logml.data.transformers.imputation.MICEImputeTransformer method) (logml.data.transformers.imputation.SimpleImputeTransformer method) (logml.data.transformers.normalization.BaseNormalizationTransformer method) UpsamplingTransformer (class in logml.data.transformers.unbalanced_data) use_hpo (logml.configuration.modeling.ModelSelectionConfig attribute)

V

validate_config() (in module logml.configuration.global_config) validate_ds_type() (logml.data.manager.DatasetsManager method) validate_metadata() (logml.data.datasets.base.BaseDataset method) validate_model() (logml.models.registry.EligibleModels method) validate_model_search() (logml.configuration.modeling.ModelingSetup class method) validate_report() (logml.configuration.global_config.GlobalConfig class method) validate_shap_run() (logml.model_search.shap.ShapExplainable method) (logml.models.registry.tree_based.GradientBoostingClassifierModel method) validate_tuple() (in module logml.configuration.base) values (logml.data.config.PrevalenceFilteringTransformerParams attribute) (logml.data.datasets.survival_dataset.UnivariateSurvivalContainer attribute) (logml.models.base.MetricsResult attribute) version (logml.configuration.global_config.GlobalConfig attribute) VIEW_ID (logml.report.views.baseline_modeling.BaselineModelingSummaryView attribute) (logml.report.views.categoricals_summary.CategoricalsSummaryView attribute) (logml.report.views.dataset_overview.DatasetOverviewView attribute) (logml.report.views.diagnostics.ReportDiagnosticsView attribute) (logml.report.views.dimensionality_reduction.DimensionalityReductionSummaryView attribute) (logml.report.views.distributions.DistributionsSummaryView attribute) (logml.report.views.facets_dive.FacetsDiveView attribute) (logml.report.views.feature_importance.FeatureImportanceSummaryView attribute) (logml.report.views.fi_cross_strata_comparison.CrossStrataFIComparisonView attribute) (logml.report.views.greedy_split.GreedySplitSurvivalView attribute) (logml.report.views.master_summary.MasterSummaryView attribute) (logml.report.views.master_summary.StandaloneSummaryView attribute) (logml.report.views.missingness.MissingnessSummaryView attribute) (logml.report.views.statistics.StatisticsSummaryView attribute) (logml.report.views.survival_analysis.SurvivalAnalysisView attribute) (logml.report.views.survival_feature_importance.SurvivalFeatureImportanceSummaryView attribute)

VIEWS (logml.report.notebooks.analysis.GreedySplitNotebook attribute) (logml.report.notebooks.base.BaseReportItem attribute) (logml.report.notebooks.base.CustomNotebook attribute) (logml.report.notebooks.diagnostics.ReportDiagnosticsNotebook attribute) (logml.report.notebooks.eda.CategoricalSummaryNotebook attribute) (logml.report.notebooks.eda.DimensionalityReductionNotebook attribute) (logml.report.notebooks.eda.DistributionsSummaryNotebook attribute) (logml.report.notebooks.eda.FacetsDiveNotebook attribute) (logml.report.notebooks.eda.InitializeDataNotebook attribute) (logml.report.notebooks.eda.MissingnessNotebook attribute) (logml.report.notebooks.eda.StatisticsSummaryNotebook attribute) (logml.report.notebooks.master_summary.MasterSummaryNotebook attribute) (logml.report.notebooks.master_summary.ReportSummaryNotebook attribute) (logml.report.notebooks.master_summary.StandaloneSummaryPage attribute) (logml.report.notebooks.modeling.BaselineModelingNotebook attribute) (logml.report.notebooks.modeling.CrossStrataFINotebook attribute) (logml.report.notebooks.modeling.FeatureImportanceNotebook attribute) (logml.report.notebooks.rnaseq_gsa.RNASeqDifferentialExpressionNotebook attribute) (logml.report.notebooks.rnaseq_gsa.RNASeqEnrichmentAnalysisNotebook attribute) (logml.report.notebooks.survival_analysis.SurvivalAnalysisNotebook attribute) VOID (logml.data.metadata.DtypeKind attribute)

W

WAIT_START (logml.analysis.common.JobStatus attribute)

workflow (logml.configuration.modeling.FeatureImportanceSection attribute) (logml.configuration.report.ReportSection attribute)

Y

YamlAdapter (class in logml.configuration.base)

YamlAdapterException