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autotsad.yaml
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autotsad.yaml
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general:
#tmp_path:
#result_path:
#cache_key:
#logging_level:
#use_timer:
#timer_logging_level:
#progress:
#n_jobs:
#seed:
#max_algorithm_instances:
#algorithm_selection_method:
#score_normalization_method:
#score_aggregation_method:
#plot_final_scores:
#compute_all_combinations:
#TRAINING_TIMESERIES_LENGTH:
#TRAINING_TIMESERIES_MIN_NO_PERIODS:
#training_timeout_s:
#testing_timeout_s:
#memory_limit_mb:
#pynisher_resource_enforcer:
data_gen:
#autoperiod_max_periods:
#AUTOPERIOD_MAX_PERIOD_LENGTH:
#snippets_max_no:
#SNIPPETS_DIST_WINDOW_SIZE_PERCENTAGE:
#SNIPPETS_PROFILE_AREA_CHANGE_THRESHOLD:
#regime_max_sampling_number:
#regime_max_sampling_overlap:
#REGIME_STRONG_PERCENTAGE:
#REGIME_CONSOLIDATION_PERCENTAGE:
#REGIME_MIN_PERIODS_PER_SLICE_FOR_VALID_SNIPPET:
#enable_regime_overlap_pruning:
#enable_dataset_pruning:
#REGIME_OVERLAP_PRUNING_THRESHOLD:
#DATASET_PRUNING_SIMILARITY_THRESHOLD:
#anom_filter_scoring_threshold_percentile:
#ANOM_FILTER_BAD_SCORING_MEAN_LIMIT:
#ANOM_FILTER_PERIODIC_SCORING_PERCENTAGE:
#anom_filter_voting_threshold:
#disable_cleaning
data_gen_plotting:
#autoperiod:
#profile_area:
#subsequence_sampling:
#snippets:
#snippet_regimes:
#regime_overlap_pruning:
#snippet_profiles:
#base_ts:
#cleaning_algo_scores:
#cutouts:
#truncated_timeseries:
#injected_anomaly:
optimization:
#optuna_storage_type:
#optuna_storage_cleanup:
#optuna_dashboard:
#optuna_logging_level:
#n_trials_startup:
#n_trials_sensitivity:
#n_trials_step:
#max_trails_per_study:
#metric_name:
#stop_heuristic_quality_threshold:
#stop_heuristic_n:
#stop_heuristic_optuna:
#proxy_allowed_quality_deviation:
#algorithms:
#disabled:
#init_parameter_set:
consolidation:
#param_selection_strategy:
#param_selection_best_quality_epsilon:
#param_selection_quality_threshold:
#dataset_similarity_threshold:
#dataset_selection_strategy:
#plot:
anomaly:
#contamination_threshold:
#possible_anomaly_lengths:
#possible_anomaly_length_period_factors:
#maximum_anomaly_length_fraction:
#find_position_max_retries:
#anomaly_section_probas:
#allowed_anomaly_types:
#same_anomalies_for_all_base_ts:
#generate_multiple_same:
#generate_multiple_different:
#number_of_anomalies_per_dataset:
#number_of_different_anomalies:
#skip_dataset_less_than_desired_anomalies:
#skip_dataset_over_contamination_threshold:
#reintroduce_default_params: