Índice A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W A ablation_protocol() (no módulo autohybts.benchmarks.ablation) ablation_report() (no módulo autohybts.benchmarks.ablation) ablation_uncertainty() (no módulo autohybts.benchmarks.ablation) AblationCase (classe em autohybts.benchmarks.ablation) advanced_proposals() (método autohybts.search.spaces.SearchSpace) allow_test_feedback_to_search (atributo autohybts.search.budgets.SearchGuardConfig) alpha (atributo autohybts.domain.specs.CandidateSpec) alphas (atributo autohybts.search.spaces.SearchSpace) ArtifactCompatibilityError audit (atributo autohybts.results.CompareResult) (atributo autohybts.selection.incremental.SelectionResult) AutoHybridExperiment (classe em autohybts) AutoHybridForecaster (classe em autohybts) autohybts.benchmarks.ablation module autohybts.benchmarks.calibration module autohybts.domain.fit_count module autohybts.exceptions module autohybts.reporting.strategies module autohybts.strategies.combination module autohybts.strategies.decomposition module autohybts.strategies.ensemble module autohybts.strategies.multistage module AutoHybTSError B backend (atributo autohybts.reporting.plots.PlotArtifact) base (atributo autohybts.domain.specs.CandidateSpec) base_models (atributo autohybts.search.spaces.SearchSpace) base_params (atributo autohybts.search.spaces.SearchSpace) base_prediction (atributo autohybts.forecasting.finalized.ForecastTicket) base_proposals() (método autohybts.search.spaces.SearchSpace) benchmark_cases() (no módulo autohybts.benchmarks.ablation) BenchmarkDataset (classe em autohybts.datasets) BenchmarkSeries (classe em autohybts.datasets) best (atributo autohybts.results.CompareResult) (atributo autohybts.search.tuning.TuningResult) C cached_count (propriedade autohybts.search.ledger.SearchResult ) CacheManager (classe em autohybts.datasets) calibration_protocol() (no módulo autohybts.benchmarks.calibration) calibration_report() (no módulo autohybts.benchmarks.calibration) campeão candidata candidate (atributo autohybts.results.ModelResult) candidate_id (atributo autohybts.domain.specs.CandidateSpec) (atributo autohybts.reporting.plots.PlotArtifact) CandidateFitError CandidateSpec (classe em autohybts.domain.specs) Capabilities (classe em autohybts.registry.capabilities) causal_moving_average() (no módulo autohybts.strategies.decomposition) champion (atributo autohybts.selection.incremental.SelectionResult) champion_per_series (atributo autohybts.selection.incremental.SelectionResult) champion_result (atributo autohybts.selection.incremental.SelectionResult) characterize() (método autohybts.AutoHybridExperiment) check() (método autohybts.data.exog.ExogFrame) check_specifier() (no módulo autohybts.models) choices (atributo autohybts.search.tuning.Distribution) cobertura columns (atributo autohybts.data.exog.ExogFrame) combination_weights (atributo autohybts.search.spaces.SearchSpace) compare_exog() (método autohybts.AutoHybridExperiment) compare_external() (método autohybts.AutoHybridExperiment) compare_models() (método autohybts.AutoHybridExperiment) CompareResult (classe em autohybts.results) comparison (atributo autohybts.results.CompareResult) comparison_origin_ids (atributo autohybts.selection.incremental.SelectionAudit) ComparisonResult (classe em autohybts.reporting.comparison) complexity() (no módulo autohybts.reporting.strategies) components (atributo autohybts.domain.specs.CandidateSpec) composite (atributo autohybts.strategies.combination.FixedCombinationForecaster) (atributo autohybts.strategies.decomposition.DecompositionForecaster) (atributo autohybts.strategies.ensemble.EnsembleForecaster) ConfigurationError context() (método autohybts.FinalizedForecaster) control (atributo autohybts.benchmarks.calibration.ControlCase) control_cases() (no módulo autohybts.benchmarks.calibration) ControlCase (classe em autohybts.benchmarks.calibration) corrected() (método de classe autohybts.domain.specs.CandidateSpec) correction (atributo autohybts.forecasting.finalized.ForecastTicket) corrector (atributo autohybts.domain.specs.CandidateSpec) corrector_combination_proposals() (método autohybts.search.spaces.SearchSpace) corrector_params (atributo autohybts.search.spaces.SearchSpace) CorrectorCombination (classe em autohybts.strategies.combination) correctors (atributo autohybts.search.spaces.SearchSpace) corretor cost (atributo autohybts.results.NestedCVResult) count_fits() (no módulo autohybts.domain.fit_count) counts() (método autohybts.search.ledger.SearchResult) covariates() (método autohybts.ExperimentStore) CoverageError create_combination() (método autohybts.AutoHybridExperiment) create_decomposition() (método autohybts.AutoHybridExperiment) create_ensemble() (método autohybts.AutoHybridExperiment) create_hybrid() (método autohybts.AutoHybridExperiment) create_model() (método autohybts.AutoHybridExperiment) cross_validate() (método autohybts.AutoHybridExperiment) CustomForecaster (classe em autohybts.models) cv_results (propriedade autohybts.results.ModelResult ) D data_profile() (método autohybts.AutoHybridExperiment) dataset_id (atributo autohybts.datasets.DatasetDescriptor) DatasetDescriptor (classe em autohybts.datasets) DatasetIntegrityError DatasetUnavailableError DataValidationError decision_reasons (atributo autohybts.selection.incremental.SelectionAudit) decision_units_frame() (método autohybts.selection.incremental.SelectionResult) decisions (atributo autohybts.results.CompareResult) (atributo autohybts.selection.incremental.SelectionResult) decisions_frame() (método autohybts.selection.incremental.SelectionResult) decompose() (método autohybts.AutoHybridExperiment) decomposition_methods (atributo autohybts.search.spaces.SearchSpace) DecompositionForecaster (classe em autohybts.strategies.decomposition) default_features() (método autohybts.data.exog.ExogFrame) default_params() (método autohybts.search.spaces.SearchSpace) delete_run() (método autohybts.ExperimentStore) depth (propriedade autohybts.domain.specs.CandidateSpec ) desafiante describe() (método autohybts.data.exog.ExogFrame) (método autohybts.domain.specs.CandidateSpec) (método autohybts.domain.specs.ModelSpec) (método autohybts.search.budgets.SearchGuardConfig) (método autohybts.search.spaces.SearchSpace) (método autohybts.selection.policy.SelectionPolicy) describe_dataset() (no módulo autohybts.datasets) descriptor (atributo autohybts.datasets.BenchmarkDataset) (atributo autohybts.datasets.BenchmarkSeries) design() (método autohybts.data.exog.ExogFrame) diagnostics() (método autohybts.strategies.combination.FixedCombinationForecaster) (método autohybts.strategies.decomposition.DecompositionForecaster) (método autohybts.strategies.ensemble.EnsembleForecaster) differencing (atributo autohybts.search.spaces.SearchSpace) differencing_test (atributo autohybts.search.spaces.SearchSpace) Distribution (classe em autohybts.search.tuning) dynamic_methods (atributo autohybts.search.spaces.SearchSpace) dynamic_proposals() (método autohybts.search.spaces.SearchSpace) E elapsed_s (atributo autohybts.search.ledger.SearchResult) ensemble() (método de classe autohybts.domain.specs.CandidateSpec) ensemble_methods (atributo autohybts.search.spaces.SearchSpace) ensemble_proposals() (método autohybts.search.spaces.SearchSpace) EnsembleForecaster (classe em autohybts.strategies.ensemble) epsilon (atributo autohybts.selection.policy.SelectionPolicy) estrutura evaluate_external() (método autohybts.AutoHybridExperiment) evaluation (atributo autohybts.results.ModelResult) events (atributo autohybts.results.CompareResult) (propriedade autohybts.AutoHybridExperiment ) exog (atributo autohybts.domain.specs.CandidateSpec) (atributo autohybts.FinalizedForecaster) exog_proposals() (método autohybts.search.spaces.SearchSpace) exog_report() (método autohybts.AutoHybridExperiment) exog_residual_proposals() (método autohybts.search.spaces.SearchSpace) exog_sets (atributo autohybts.search.spaces.SearchSpace) ExogFrame (classe em autohybts.data.exog) ExperimentStore (classe em autohybts) exploratory (atributo autohybts.selection.incremental.SelectionAudit) (propriedade autohybts.selection.policy.SelectionPolicy ) export_evidence() (método autohybts.AutoHybridExperiment) ExternalComparison (classe em autohybts.results) ExternalResult (classe em autohybts.results) extra (atributo autohybts.datasets.DatasetDescriptor) F failed_trials (atributo autohybts.selection.incremental.SelectionAudit) family (atributo autohybts.domain.specs.CandidateSpec) family_order (atributo autohybts.selection.policy.SelectionPolicy) família fetch() (método autohybts.datasets.CacheManager) figure (atributo autohybts.reporting.plots.PlotArtifact) finalist_ids (atributo autohybts.selection.incremental.SelectionAudit) finalist_per_series (atributo autohybts.selection.incremental.SelectionResult) finalists (atributo autohybts.selection.incremental.SelectionResult) finalize_model() (método autohybts.AutoHybridExperiment) FinalizedForecaster (classe em autohybts) fingerprint (atributo autohybts.data.exog.ExogFrame) (atributo autohybts.PanelFrame) fit() (método autohybts.AutoHybridExperiment) (método autohybts.AutoHybridForecaster) (método autohybts.strategies.combination.CorrectorCombination) fit_count (propriedade autohybts.search.ledger.SearchResult ) FitCounter (classe em autohybts.domain.fit_count) FixedCombinationForecaster (classe em autohybts.strategies.combination) folds (atributo autohybts.results.NestedCVResult) ForecastStream (classe em autohybts.forecasting.finalized) ForecastTicket (classe em autohybts.forecasting.finalized) framework_versions() (no módulo autohybts.models) frequency (atributo autohybts.datasets.DatasetDescriptor) (propriedade autohybts.PanelFrame ) friedman() (método autohybts.reporting.comparison.ComparisonResult) from_dict() (método de classe autohybts.PanelFrame) from_frame() (método de classe autohybts.data.exog.ExogFrame) from_long() (método de classe autohybts.PanelFrame) from_snapshot() (método de classe autohybts.AutoHybridExperiment) full() (método autohybts.datasets.BenchmarkSeries) G get_best_model() (método autohybts.AutoHybridForecaster) get_data() (no módulo autohybts.datasets) get_metrics() (método autohybts.AutoHybridExperiment) get_params() (método autohybts.AutoHybridForecaster) get_standalone_reference() (método autohybts.AutoHybridExperiment) H high (atributo autohybts.search.tuning.Distribution) history (atributo autohybts.FinalizedForecaster) (atributo autohybts.reporting.comparison.ComparisonResult) horizon (atributo autohybts.benchmarks.ablation.AblationCase) (atributo autohybts.datasets.DatasetDescriptor) I improvement (propriedade autohybts.search.tuning.TuningResult ) include (atributo autohybts.results.NestedCVResult) InsufficientHistoryError is_panel (propriedade autohybts.AutoHybridExperiment ) is_single (propriedade autohybts.PanelFrame ) K keras_model() (no módulo autohybts.models) KerasCorrector (classe em autohybts.models) KerasForecaster (classe em autohybts.models) kind (atributo autohybts.reporting.plots.PlotArtifact) (atributo autohybts.search.tuning.Distribution) kind() (método autohybts.data.exog.ExogFrame) kinds (atributo autohybts.data.exog.ExogFrame) kruskal() (método autohybts.reporting.comparison.ComparisonResult) kurtosis_window() (no módulo autohybts.strategies.decomposition) L label (propriedade autohybts.domain.specs.CandidateSpec ) (propriedade autohybts.domain.specs.ModelSpec ) labels (propriedade autohybts.reporting.comparison.ComparisonResult ) last_observation (propriedade autohybts.FinalizedForecaster ) leaderboard (atributo autohybts.results.CompareResult) leaderboard() (método autohybts.AutoHybridForecaster) ledger (atributo autohybts.search.ledger.SearchResult) ledger_frame() (método autohybts.search.ledger.SearchResult) license (atributo autohybts.datasets.DatasetDescriptor) list_datasets() (no módulo autohybts.datasets) list_exog_datasets() (no módulo autohybts.datasets) load() (método autohybts.ExperimentStore) load_benchmark() (no módulo autohybts.datasets) load_dataset() (no módulo autohybts.datasets) load_exog_dataset() (no módulo autohybts.datasets) load_model() (no módulo autohybts) log() (método autohybts.ExperimentStore) (método autohybts.forecasting.finalized.ForecastStream) log_actuals() (método autohybts.ExperimentStore) log_covariates() (método autohybts.ExperimentStore) log_forecasts() (método autohybts.ExperimentStore) low (atributo autohybts.search.tuning.Distribution) M manifest (atributo autohybts.FinalizedForecaster) (atributo autohybts.PanelForecaster) manifest_path() (método autohybts.datasets.CacheManager) max_candidates_per_stage (atributo autohybts.search.budgets.SearchGuardConfig) max_lag (atributo autohybts.reporting.comparison.ComparisonResult) max_refinements (atributo autohybts.search.budgets.SearchGuardConfig) max_stages (atributo autohybts.search.spaces.SearchSpace) max_trials_per_family (atributo autohybts.search.budgets.SearchGuardConfig) max_trials_total (atributo autohybts.search.budgets.SearchGuardConfig) max_wall_time_s (atributo autohybts.search.budgets.SearchGuardConfig) median_gain_threshold (atributo autohybts.selection.policy.SelectionPolicy) members (atributo autohybts.domain.specs.CandidateSpec) metadata (atributo autohybts.datasets.BenchmarkDataset) metric (atributo autohybts.reporting.comparison.ComparisonResult) (atributo autohybts.results.NestedCVResult) (atributo autohybts.search.ledger.SearchResult) (atributo autohybts.search.tuning.TuningResult) metrics (atributo autohybts.results.ExternalResult) (propriedade autohybts.results.ModelResult ) min_coverage (atributo autohybts.selection.policy.SelectionPolicy) min_history (propriedade autohybts.models.CustomForecaster ) (propriedade autohybts.strategies.combination.FixedCombinationForecaster ) (propriedade autohybts.strategies.decomposition.DecompositionForecaster ) (propriedade autohybts.strategies.ensemble.EnsembleForecaster ) min_train_size (propriedade autohybts.models.CustomForecaster ) (propriedade autohybts.strategies.combination.FixedCombinationForecaster ) (propriedade autohybts.strategies.decomposition.DecompositionForecaster ) (propriedade autohybts.strategies.ensemble.EnsembleForecaster ) mode (atributo autohybts.search.budgets.SearchGuardConfig) model (atributo autohybts.FinalizedForecaster) (propriedade autohybts.forecasting.finalized.ForecastStream ) model_id (propriedade autohybts.FinalizedForecaster ) (propriedade autohybts.PanelForecaster ) model_label (atributo autohybts.results.ExternalResult) (atributo autohybts.results.PredictResult) model_names() (método autohybts.domain.specs.CandidateSpec) ModelResult (classe em autohybts.results) models (atributo autohybts.PanelForecaster) models() (método autohybts.AutoHybridExperiment) ModelSpec (classe em autohybts.domain.specs) module autohybts.benchmarks.ablation autohybts.benchmarks.calibration autohybts.domain.fit_count autohybts.exceptions autohybts.reporting.strategies autohybts.strategies.combination autohybts.strategies.decomposition autohybts.strategies.ensemble autohybts.strategies.multistage monitor() (método autohybts.ExperimentStore) N n_trained (atributo autohybts.FinalizedForecaster) name (atributo autohybts.domain.specs.ModelSpec) (propriedade autohybts.domain.specs.CandidateSpec ) needs_oof (propriedade autohybts.strategies.ensemble.EnsembleForecaster ) nested_cross_validate() (método autohybts.AutoHybridExperiment) NestedCVResult (classe em autohybts.results) O observe() (método autohybts.forecasting.finalized.ForecastStream) of() (método de classe autohybts.domain.specs.ModelSpec) options (propriedade autohybts.domain.specs.CandidateSpec ) options_json (atributo autohybts.domain.specs.CandidateSpec) orçamento origem origin (atributo autohybts.forecasting.finalized.ForecastTicket) origin_range (atributo autohybts.reporting.plots.PlotArtifact) original (atributo autohybts.search.tuning.TuningResult) outlier_report() (método autohybts.AutoHybridExperiment) outliers (atributo autohybts.search.spaces.SearchSpace) P panel() (método autohybts.datasets.BenchmarkDataset) PanelForecaster (classe em autohybts) PanelFrame (classe em autohybts) params (propriedade autohybts.domain.specs.ModelSpec ) params_json (atributo autohybts.domain.specs.ModelSpec) pareto_front() (no módulo autohybts.reporting.strategies) parts() (método autohybts.strategies.decomposition.DecompositionForecaster) path() (método autohybts.datasets.CacheManager) perfil plan_fingerprint (atributo autohybts.search.ledger.SearchResult) plot() (método autohybts.reporting.comparison.ComparisonResult) (método autohybts.results.CompareResult) plot_characterization() (método autohybts.AutoHybridExperiment) plot_data() (método autohybts.AutoHybridExperiment) plot_model() (método autohybts.AutoHybridExperiment) PlotArtifact (classe em autohybts.reporting.plots) predict() (método autohybts.AutoHybridForecaster) (método autohybts.FinalizedForecaster) (método autohybts.PanelForecaster) predict_components() (método autohybts.strategies.decomposition.DecompositionForecaster) predict_model() (método autohybts.AutoHybridExperiment) predict_next() (método autohybts.forecasting.finalized.ForecastStream) (método autohybts.strategies.combination.CorrectorCombination) prediction (atributo autohybts.forecasting.finalized.ForecastTicket) predictions (atributo autohybts.results.ExternalResult) (atributo autohybts.results.PredictResult) PredictResult (classe em autohybts.results) prefer_simpler_on_tie (atributo autohybts.search.budgets.SearchGuardConfig) preset() (método de classe autohybts.search.budgets.SearchGuardConfig) profile (atributo autohybts.selection.policy.SelectionPolicy) promote() (método autohybts.ExperimentStore) protocol (atributo autohybts.search.ledger.SearchResult) protocol_hash (atributo autohybts.selection.incremental.SelectionAudit) ProtocolConfigurationError provenance (atributo autohybts.reporting.plots.PlotArtifact) provider (atributo autohybts.datasets.DatasetDescriptor) pruned_trials (atributo autohybts.selection.incremental.SelectionAudit) Q query() (método autohybts.ExperimentStore) quickstart() (método de classe autohybts.selection.policy.SelectionPolicy) R raw_dataset() (no módulo autohybts.datasets) read_manifest() (método autohybts.datasets.CacheManager) (no módulo autohybts) record_fit() (no módulo autohybts.domain.fit_count) reference (atributo autohybts.reporting.comparison.ComparisonResult) (atributo autohybts.results.ExternalComparison) refine_sources (atributo autohybts.search.spaces.SearchSpace) refinement_proposals() (método autohybts.search.spaces.SearchSpace) register_model() (método autohybts.AutoHybridExperiment) (método autohybts.ExperimentStore) registry() (método autohybts.ExperimentStore) RegressorForecaster (classe em autohybts.models) require() (no módulo autohybts.models) require_full_pairing (atributo autohybts.search.budgets.SearchGuardConfig) residual_diagnostics() (método autohybts.AutoHybridExperiment) residual_proposals() (método autohybts.search.spaces.SearchSpace) residual_source (atributo autohybts.domain.specs.CandidateSpec) residual_sources (atributo autohybts.search.spaces.SearchSpace) residual_structures (atributo autohybts.search.ledger.SearchResult) residual_windows (atributo autohybts.search.spaces.SearchSpace) resíduo result() (método autohybts.search.ledger.SearchResult) results (atributo autohybts.reporting.comparison.ComparisonResult) (atributo autohybts.search.ledger.SearchResult) retained (atributo autohybts.search.ledger.SearchResult) run_ablation() (no módulo autohybts.benchmarks.ablation) run_calibration() (no módulo autohybts.benchmarks.calibration) run_case() (no módulo autohybts.benchmarks.ablation) runs() (método autohybts.ExperimentStore) S sample() (método autohybts.search.tuning.Distribution) sampler (atributo autohybts.search.tuning.TuningResult) save() (método autohybts.reporting.plots.PlotArtifact) save_model() (no módulo autohybts) SealedTestAccessError search (atributo autohybts.results.CompareResult) search_best_score (atributo autohybts.selection.incremental.SelectionAudit) search_protocol_hash (atributo autohybts.selection.incremental.SelectionAudit) SearchGuardConfig (classe em autohybts.search.budgets) SearchResult (classe em autohybts.search.ledger) SearchSpace (classe em autohybts.search.spaces) seasonal_period (atributo autohybts.benchmarks.ablation.AblationCase) (atributo autohybts.search.spaces.SearchSpace) seasonality_report() (método autohybts.AutoHybridExperiment) seed (atributo autohybts.FinalizedForecaster) select_exog() (no módulo autohybts.data.exog_selection) selection (atributo autohybts.results.CompareResult) selection_gap (propriedade autohybts.selection.incremental.SelectionAudit ) selection_history_ (propriedade autohybts.AutoHybridForecaster ) selection_leaderboard (atributo autohybts.results.CompareResult) SelectionAudit (classe em autohybts.selection.incremental) SelectionPolicy (classe em autohybts.selection.policy) SelectionResult (classe em autohybts.selection.incremental) series (atributo autohybts.PanelFrame) series() (método autohybts.datasets.BenchmarkDataset) series_id (atributo autohybts.benchmarks.ablation.AblationCase) (atributo autohybts.benchmarks.calibration.ControlCase) (propriedade autohybts.datasets.BenchmarkSeries ) series_id_col (atributo autohybts.datasets.DatasetDescriptor) series_ids (propriedade autohybts.datasets.BenchmarkDataset ) (propriedade autohybts.PanelForecaster ) (propriedade autohybts.PanelFrame ) significance_alpha (atributo autohybts.selection.policy.SelectionPolicy) single() (método de classe autohybts.PanelFrame) snapshot (atributo autohybts.results.CompareResult) snapshots (atributo autohybts.results.NestedCVResult) source (atributo autohybts.benchmarks.ablation.AblationCase) (atributo autohybts.reporting.comparison.ComparisonResult) source_split (atributo autohybts.reporting.plots.PlotArtifact) source_url (atributo autohybts.datasets.DatasetDescriptor) spec (atributo autohybts.FinalizedForecaster) (atributo autohybts.PanelForecaster) split_kind (atributo autohybts.datasets.DatasetDescriptor) splits (atributo autohybts.reporting.comparison.ComparisonResult) (propriedade autohybts.AutoHybridExperiment ) stack_stages() (no módulo autohybts.strategies.multistage) stage_params (atributo autohybts.search.spaces.SearchSpace) stages (propriedade autohybts.domain.specs.CandidateSpec ) standalone() (método de classe autohybts.domain.specs.CandidateSpec) stationarity_report() (método autohybts.AutoHybridExperiment) steps (atributo autohybts.results.ExternalComparison) stl_smooth() (no módulo autohybts.strategies.decomposition) stop_reason (atributo autohybts.search.ledger.SearchResult) strategies (propriedade autohybts.results.CompareResult ) strategy (atributo autohybts.domain.specs.CandidateSpec) strategy_plot() (no módulo autohybts.reporting.strategies) strategy_table() (método autohybts.results.CompareResult) (no módulo autohybts.reporting.strategies) stratum (atributo autohybts.benchmarks.ablation.AblationCase) stream() (método autohybts.FinalizedForecaster) suggest() (método autohybts.search.tuning.Distribution) summary (atributo autohybts.results.NestedCVResult) (propriedade autohybts.reporting.comparison.ComparisonResult ) synthetic_cases() (no módulo autohybts.benchmarks.ablation) T table (atributo autohybts.results.ExternalComparison) tables() (método autohybts.ExperimentStore) target_name (atributo autohybts.datasets.DatasetDescriptor) TemporalLeakageError test (atributo autohybts.datasets.BenchmarkDataset) (atributo autohybts.datasets.BenchmarkSeries) test_size (atributo autohybts.benchmarks.ablation.AblationCase) teste selado tests (atributo autohybts.results.ExternalComparison) tests() (método autohybts.reporting.comparison.ComparisonResult) time_col (atributo autohybts.datasets.DatasetDescriptor) timestamp (atributo autohybts.forecasting.finalized.ForecastTicket) timestamps (atributo autohybts.data.exog.ExogFrame) to_dict() (método autohybts.datasets.DatasetDescriptor) to_frame() (método autohybts.data.exog.ExogFrame) to_long() (método autohybts.PanelFrame) top_k_per_family (atributo autohybts.search.budgets.SearchGuardConfig) top_k_residual_structures (atributo autohybts.search.budgets.SearchGuardConfig) torch_model() (no módulo autohybts.models) TorchCorrector (classe em autohybts.models) TorchForecaster (classe em autohybts.models) total (atributo autohybts.domain.fit_count.FitCounter) total_candidates (propriedade autohybts.results.NestedCVResult ) total_fits (propriedade autohybts.results.NestedCVResult ) total_seconds (propriedade autohybts.results.NestedCVResult ) total_trials (atributo autohybts.selection.incremental.SelectionAudit) train (atributo autohybts.datasets.BenchmarkDataset) (atributo autohybts.datasets.BenchmarkSeries) training_cutoff (propriedade autohybts.FinalizedForecaster ) (propriedade autohybts.PanelForecaster ) transform (atributo autohybts.search.spaces.SearchSpace) trial_count (propriedade autohybts.search.ledger.SearchResult ) trials (atributo autohybts.search.tuning.TuningResult) trials_by_family (propriedade autohybts.search.ledger.SearchResult ) tried_by_family (atributo autohybts.selection.incremental.SelectionAudit) tune_model() (método autohybts.AutoHybridExperiment) TuningResult (classe em autohybts.search.tuning) U unidade unit_count (propriedade autohybts.search.ledger.SearchResult ) units (propriedade autohybts.reporting.comparison.ComparisonResult ) UnsupportedCapabilityError update_state() (método autohybts.FinalizedForecaster) V V_search V_select validate_requirements() (no módulo autohybts.models) values (atributo autohybts.benchmarks.ablation.AblationCase) (atributo autohybts.benchmarks.calibration.ControlCase) (atributo autohybts.data.exog.ExogFrame) variability (atributo autohybts.selection.policy.SelectionPolicy) variant (atributo autohybts.domain.specs.CandidateSpec) (atributo autohybts.search.spaces.SearchSpace) (propriedade autohybts.FinalizedForecaster ) (propriedade autohybts.PanelForecaster ) variante verify() (método autohybts.datasets.CacheManager) version (atributo autohybts.datasets.DatasetDescriptor) W win_rate_threshold (atributo autohybts.selection.policy.SelectionPolicy) win_rates (propriedade autohybts.reporting.comparison.ComparisonResult ) window_size (atributo autohybts.domain.specs.CandidateSpec) winner_id (atributo autohybts.selection.incremental.SelectionAudit) winner_search_score (atributo autohybts.selection.incremental.SelectionAudit) winner_select_score (atributo autohybts.selection.incremental.SelectionAudit)