Index A | B | C | D | E | F | G | H | I | K | M | N | O | P | Q | R | S | T | U | V | W A a_priori (datarobotx.FeaturesTSFeatureSettingConfig property) accuracy_optimized_mb (datarobotx.ModelingModeConfig property) aggregation_class_name (datarobotx.TargetAggregationConfig property) aggregation_type (datarobotx.FeaturesAutoTSConfig property) aguard() (in module datarobotx.llm) allow_partial_history_time_series_predictions (datarobotx.ModelingAutoTSConfig property) allowed_pairwise_interaction_groups (datarobotx.ModelingAutoMLConfig property) AutoAnomalyModel (class in datarobotx) AutoClusteringModel (class in datarobotx) AutoML (datarobotx.ModelingConfig property) (datarobotx.TargetConfig property) AutoMLModel (class in datarobotx) autopilot_cluster_list (datarobotx.ModelingAutoMLConfig property) autopilot_data_sampling_method (datarobotx.PartitioningDateTimeConfig property) autopilot_data_selection_method (datarobotx.PartitioningDateTimeConfig property) autopilot_with_feature_discovery (datarobotx.FeaturesSAFERConfig property) AutoTS (datarobotx.FeaturesConfig property) (datarobotx.ModelingConfig property) (datarobotx.TargetConfig property) AutoTSModel (class in datarobotx) B backtests (datarobotx.PartitioningDateTimeConfig property) base_model (datarobotx.ColumnReduceModel property) (datarobotx.FeatureDiscoveryModel property) (datarobotx.SelfDiscoveryModel property) (datarobotx.SparkIngestModel property) bias_mitigation_feature_name (datarobotx.ModelingBiasFairnessConfig property) bias_mitigation_technique (datarobotx.ModelingBiasFairnessConfig property) BiasFairness (datarobotx.ModelingConfig property) blend_best_models (datarobotx.ModelingAutoMLConfig property) blueprint_threshold (datarobotx.ModelingAutoMLConfig property) BlueprintConverter (class in datarobotx) build_preprocessor_pipeline() (datarobotx.BlueprintConverter class method) C calendar_id (datarobotx.FeaturesAutoTSConfig property) chunk_definition_id (datarobotx.TargetAutoMLConfig property) class_mapping_aggregation_settings (datarobotx.TargetAutoMLConfig property) ColumnReduceModel (class in datarobotx) Configurator (class in datarobotx) consider_blenders_in_recommendation (datarobotx.ModelingAutoMLConfig property) Context (class in datarobotx) convert() (datarobotx.BlueprintConverter class method) cross_series_group_by_columns (datarobotx.FeaturesAutoTSConfig property) cv_holdout_level (datarobotx.PartitioningUserConfig property) cv_method (datarobotx.PartitioningConfig property) D Data (datarobotx.DRConfig property) DataConfig (class in datarobotx) DataDictChain (class in datarobotx.llm) datarobot_list_encode() (in module datarobotx.common.utils) date_removal (datarobotx.FeaturesSAFERConfig property) DateTime (datarobotx.PartitioningConfig property) datetime_partition_column (datarobotx.PartitioningDateTimeConfig property) default_to_do_not_derive (datarobotx.FeaturesAutoTSConfig property) default_to_known_in_advance (datarobotx.FeaturesAutoTSConfig property) deploy() (datarobotx.AutoAnomalyModel method) (datarobotx.AutoClusteringModel method) (datarobotx.AutoMLModel method) (datarobotx.AutoTSModel method) (datarobotx.ColumnReduceModel method) (datarobotx.FeatureDiscoveryModel method) (datarobotx.Model method) (datarobotx.SelfDiscoveryModel method) (datarobotx.SparkIngestModel method) (in module datarobotx) Deployment (class in datarobotx) differencing_method (datarobotx.FeaturesAutoTSConfig property) disable_holdout (datarobotx.PartitioningConfig property) do_not_derive (datarobotx.FeaturesTSFeatureSettingConfig property) downsample_spark() (in module datarobotx) dr_deployment (datarobotx.Deployment property) dr_model (datarobotx.AutoAnomalyModel property) (datarobotx.AutoClusteringModel property) (datarobotx.AutoMLModel property) (datarobotx.AutoTSModel property) (datarobotx.ColumnReduceModel property) (datarobotx.FeatureDiscoveryModel property) (datarobotx.Model property) (datarobotx.SelfDiscoveryModel property) (datarobotx.SparkIngestModel property) dr_project (datarobotx.AutoAnomalyModel property) (datarobotx.AutoClusteringModel property) (datarobotx.AutoMLModel property) (datarobotx.AutoTSModel property) (datarobotx.ColumnReduceModel property) (datarobotx.FeatureDiscoveryModel property) (datarobotx.Model property) (datarobotx.SelfDiscoveryModel property) (datarobotx.SparkIngestModel property) DRConfig (class in datarobotx) E endpoint (datarobotx.Context property) enrich() (in module datarobotx.llm) evaluate() (in module datarobotx) events_count (datarobotx.TargetAutoMLConfig property) excluded_from_aggregation (datarobotx.TargetAggregationConfig property) exponentially_weighted_moving_alpha (datarobotx.FeaturesAutoTSConfig property) exposure (datarobotx.TargetAutoMLConfig property) external_predictions (datarobotx.DataConfig property) external_time_series_baseline_dataset_id (datarobotx.ModelingAutoTSConfig property) external_time_series_baseline_dataset_name (datarobotx.ModelingAutoTSConfig property) extract_dr_class_params_from_blueprint_parts() (datarobotx.BlueprintConverter static method) F fairness_metrics_set (datarobotx.ModelingBiasFairnessConfig property) fairness_threshold (datarobotx.ModelingBiasFairnessConfig property) feature_derivation_window_end (datarobotx.FeaturesAutoTSConfig property) feature_derivation_window_start (datarobotx.FeaturesAutoTSConfig property) feature_discovery_supervised_feature_reduction (datarobotx.FeaturesSAFERConfig property) feature_engineering_prediction_point (datarobotx.FeaturesSAFERConfig property) feature_name (datarobotx.FeaturesTSFeatureSettingConfig property) feature_settings (datarobotx.FeaturesAutoTSConfig property) FeatureDiscoveryModel (class in datarobotx) featurelist_id (datarobotx.DataConfig property) features (datarobotx.ColumnReduceModel property) FeaturesAutoTSConfig (class in datarobotx) FeaturesConfig (class in datarobotx) FeaturesSAFERConfig (class in datarobotx) FeaturesTSFeatureSettingConfig (class in datarobotx) FeaturesTSPeriodicityConfig (class in datarobotx) Featurization (datarobotx.DRConfig property) featurize_explanations() (in module datarobotx) fit() (datarobotx.AutoAnomalyModel method) (datarobotx.AutoClusteringModel method) (datarobotx.AutoMLModel method) (datarobotx.AutoTSModel method) (datarobotx.ColumnReduceModel method) (datarobotx.FeatureDiscoveryModel method) (datarobotx.SelfDiscoveryModel method) (datarobotx.SparkIngestModel method) forecast_distance (datarobotx.TargetAutoMLConfig property) forecast_offsets (datarobotx.TargetAutoMLConfig property) forecast_window_end (datarobotx.TargetAutoTSConfig property) forecast_window_start (datarobotx.TargetAutoTSConfig property) from_project_id() (datarobotx.AutoAnomalyModel class method) (datarobotx.AutoClusteringModel class method) (datarobotx.AutoMLModel class method) (datarobotx.AutoTSModel class method) from_url() (datarobotx.AutoAnomalyModel class method) (datarobotx.AutoClusteringModel class method) (datarobotx.AutoMLModel class method) (datarobotx.AutoTSModel class method) (datarobotx.Deployment class method) (datarobotx.Model class method) G gap_duration (datarobotx.PartitioningDateTimeConfig property) (datarobotx.PartitioningDTBacktestConfig property) get_derived_features() (datarobotx.FeatureDiscoveryModel method) (datarobotx.SelfDiscoveryModel method) get_derived_sql() (datarobotx.FeatureDiscoveryModel method) (datarobotx.SelfDiscoveryModel method) get_params() (datarobotx.AutoAnomalyModel method) (datarobotx.AutoClusteringModel method) (datarobotx.AutoMLModel method) (datarobotx.AutoTSModel method) (datarobotx.ColumnReduceModel method) (datarobotx.FeatureDiscoveryModel method) (datarobotx.SelfDiscoveryModel method) (datarobotx.SparkIngestModel method) gpu_worker_count (datarobotx.MetadataConfig property) Group (datarobotx.PartitioningConfig property) GuardChain (class in datarobotx.llm) GuardrailConfig (class in datarobotx.llm) H holdout_duration (datarobotx.PartitioningDateTimeConfig property) holdout_end_date (datarobotx.PartitioningDateTimeConfig property) holdout_level (datarobotx.PartitioningUserConfig property) holdout_pct (datarobotx.PartitioningConfig property) holdout_start_date (datarobotx.PartitioningDateTimeConfig property) I import_parametric_model() (in module datarobotx) include_bias_mitigation_feature_as_predictor_variable (datarobotx.ModelingBiasFairnessConfig property) incremental_learning_on_best_model (datarobotx.ModelingAutoMLConfig property) incremental_learning_only_mode (datarobotx.ModelingAutoMLConfig property) index (datarobotx.PartitioningDTBacktestConfig property) input_keys (datarobotx.llm.DataDictChain property) (datarobotx.llm.GuardChain property) is_holdout_modified (datarobotx.PartitioningDateTimeConfig property) K known_in_advance (datarobotx.FeaturesTSFeatureSettingConfig property) M majority_downsampling_rate (datarobotx.DataConfig property) make_blueprint() (datarobotx.BlueprintConverter class method) make_column_transformer_element_from_pipeline() (datarobotx.BlueprintConverter class method) make_column_transformer_from_column_transformer_elements() (datarobotx.BlueprintConverter static method) make_pipeline_elements_from_steps() (datarobotx.BlueprintConverter static method) make_pipeline_from_pipeline_elements() (datarobotx.BlueprintConverter static method) make_standard_template() (datarobotx.BlueprintConverter class method) max_unaggregated_class_values (datarobotx.TargetAggregationConfig property) melt_explanations() (in module datarobotx) Metadata (datarobotx.DRConfig property) MetadataConfig (class in datarobotx) metric (datarobotx.ModelingModeConfig property) min_class_support (datarobotx.TargetAggregationConfig property) min_secondary_validation_model_count (datarobotx.ModelingAutoMLConfig property) Mode (datarobotx.ModelingConfig property) mode (datarobotx.ModelingModeConfig property) Model (class in datarobotx) model_splits (datarobotx.ModelingAutoTSConfig property) Modeling (datarobotx.DRConfig property) ModelingAutoMLConfig (class in datarobotx) ModelingAutoTSConfig (class in datarobotx) ModelingBiasFairnessConfig (class in datarobotx) ModelingConfig (class in datarobotx) ModelingModeConfig (class in datarobotx) MonitoringConfig (class in datarobotx.llm) monotonic_decreasing_featurelist_id (datarobotx.ModelingModeConfig property) monotonic_increasing_featurelist_id (datarobotx.ModelingModeConfig property) multiseries_id_columns (datarobotx.TargetAutoTSConfig property) N number_of_backtests (datarobotx.PartitioningDateTimeConfig property) O offset (datarobotx.TargetAutoMLConfig property) only_include_monotonic_blueprints (datarobotx.ModelingModeConfig property) otv() (datarobotx.Configurator method) output_keys (datarobotx.llm.DataDictChain property) (datarobotx.llm.GuardChain property) P parse_blueprint_stage() (datarobotx.BlueprintConverter class method) partition_key_cols (datarobotx.PartitioningGroupConfig property) Partitioning (datarobotx.DRConfig property) PartitioningConfig (class in datarobotx) PartitioningDateTimeConfig (class in datarobotx) PartitioningDTBacktestConfig (class in datarobotx) PartitioningGroupConfig (class in datarobotx) PartitioningUserConfig (class in datarobotx) periodicities (datarobotx.FeaturesAutoTSConfig property) positive_class (datarobotx.TargetAutoMLConfig property) pred_server_id (datarobotx.Context property) predict() (datarobotx.AutoAnomalyModel method) (datarobotx.AutoClusteringModel method) (datarobotx.AutoMLModel method) (datarobotx.AutoTSModel method) (datarobotx.ColumnReduceModel method) (datarobotx.Deployment method) (datarobotx.FeatureDiscoveryModel method) (datarobotx.Model method) (datarobotx.SelfDiscoveryModel method) (datarobotx.SparkIngestModel method) predict_proba() (datarobotx.AutoAnomalyModel method) (datarobotx.AutoClusteringModel method) (datarobotx.AutoMLModel method) (datarobotx.AutoTSModel method) (datarobotx.ColumnReduceModel method) (datarobotx.Deployment method) (datarobotx.FeatureDiscoveryModel method) (datarobotx.Model method) (datarobotx.SelfDiscoveryModel method) (datarobotx.SparkIngestModel method) predict_unstructured() (datarobotx.Deployment method) preferable_target_value (datarobotx.TargetAutoMLConfig property) prepare_model_for_deployment (datarobotx.ModelingAutoMLConfig property) primary_location_column (datarobotx.FeaturesConfig property) primary_training_end_date (datarobotx.PartitioningDTBacktestConfig property) primary_training_start_date (datarobotx.PartitioningDTBacktestConfig property) project_description (datarobotx.MetadataConfig property) project_name (datarobotx.MetadataConfig property) protected_features (datarobotx.ModelingBiasFairnessConfig property) Q quantile_level (datarobotx.ModelingModeConfig property) R rate_top_pct_threshold (datarobotx.ModelingAutoMLConfig property) Relationship (class in datarobotx) relationships_configuration_id (datarobotx.FeaturesSAFERConfig property) reps (datarobotx.PartitioningConfig property) response_cap (datarobotx.TargetAutoMLConfig property) run_column_reduction() (datarobotx.ColumnReduceModel class method) run_leakage_removed_feature_list (datarobotx.ModelingAutoMLConfig property) S SAFER (datarobotx.FeaturesConfig property) sample_step_pct (datarobotx.ModelingAutoMLConfig property) scoring_code_only (datarobotx.ModelingAutoMLConfig property) seed (datarobotx.ModelingAutoMLConfig property) segmentation_task_id (datarobotx.FeaturesAutoTSConfig property) SelfDiscoveryModel (class in datarobotx) series_id (datarobotx.TargetAutoMLConfig property) set_params() (datarobotx.AutoAnomalyModel method) (datarobotx.AutoClusteringModel method) (datarobotx.AutoMLModel method) (datarobotx.AutoTSModel method) (datarobotx.ColumnReduceModel method) (datarobotx.FeatureDiscoveryModel method) (datarobotx.SelfDiscoveryModel method) (datarobotx.SparkIngestModel method) shap_only_mode (datarobotx.ModelingModeConfig property) share() (datarobotx.AutoAnomalyModel method) (datarobotx.AutoClusteringModel method) (datarobotx.AutoMLModel method) (datarobotx.AutoTSModel method) (datarobotx.ColumnReduceModel method) (datarobotx.Deployment method) (datarobotx.FeatureDiscoveryModel method) (datarobotx.SelfDiscoveryModel method) (datarobotx.SparkIngestModel method) (in module datarobotx) smart_downsampled (datarobotx.DataConfig property) spark_to_ai_catalog() (in module datarobotx) SparkIngestModel (class in datarobotx) stop_words (datarobotx.ModelingAutoMLConfig property) T Target (datarobotx.DRConfig property) target (datarobotx.TargetConfig property) target_type (datarobotx.TargetConfig property) TargetAggregationConfig (class in datarobotx) TargetAutoMLConfig (class in datarobotx) TargetAutoTSConfig (class in datarobotx) TargetConfig (class in datarobotx) theme (datarobotx.Context property) time_steps (datarobotx.FeaturesTSPeriodicityConfig property) time_unit (datarobotx.FeaturesTSPeriodicityConfig property) to_dict() (datarobotx.DataConfig method) (datarobotx.DRConfig method) (datarobotx.FeaturesAutoTSConfig method) (datarobotx.FeaturesConfig method) (datarobotx.FeaturesSAFERConfig method) (datarobotx.FeaturesTSFeatureSettingConfig method) (datarobotx.FeaturesTSPeriodicityConfig method) (datarobotx.MetadataConfig method) (datarobotx.ModelingAutoMLConfig method) (datarobotx.ModelingAutoTSConfig method) (datarobotx.ModelingBiasFairnessConfig method) (datarobotx.ModelingConfig method) (datarobotx.ModelingModeConfig method) (datarobotx.PartitioningConfig method) (datarobotx.PartitioningDateTimeConfig method) (datarobotx.PartitioningDTBacktestConfig method) (datarobotx.PartitioningGroupConfig method) (datarobotx.PartitioningUserConfig method) (datarobotx.TargetAggregationConfig method) (datarobotx.TargetAutoMLConfig method) (datarobotx.TargetAutoTSConfig method) (datarobotx.TargetConfig method) token (datarobotx.Context property) training_level (datarobotx.PartitioningUserConfig property) treat_as_exponential (datarobotx.FeaturesAutoTSConfig property) U unsupervised_mode (datarobotx.ModelingModeConfig property) unsupervised_type (datarobotx.ModelingModeConfig property) use_cross_series_features (datarobotx.FeaturesAutoTSConfig property) use_project_settings (datarobotx.PartitioningDateTimeConfig property) use_supervised_feature_reduction (datarobotx.FeaturesAutoTSConfig property) use_time_series (datarobotx.ModelingModeConfig property) User (datarobotx.PartitioningConfig property) user_partition_col (datarobotx.PartitioningUserConfig property) V validation_duration (datarobotx.PartitioningDateTimeConfig property) (datarobotx.PartitioningDTBacktestConfig property) validation_end_date (datarobotx.PartitioningDTBacktestConfig property) validation_level (datarobotx.PartitioningUserConfig property) validation_pct (datarobotx.PartitioningConfig property) validation_start_date (datarobotx.PartitioningDTBacktestConfig property) validation_type (datarobotx.PartitioningConfig property) verbose (datarobotx.llm.DataDictChain attribute) W weights (datarobotx.TargetAutoMLConfig property) windows_basis_unit (datarobotx.TargetAutoTSConfig property) worker_count (datarobotx.MetadataConfig property)