Experiment configuration

max_runtime_minutes

min_auto_runtime_minutes

max_runtime_minutes_smart

max_runtime_minutes_until_abort

strict_reproducible_for_max_runtime

enable_preview_time_estimate

enable_preview_mojo_size_estimate

enable_preview_cpu_memory_estimate

enable_preview_time_estimate_rough

time_abort

delete_model_dirs_and_files

delete_data_dirs_and_files

recipe

custom_unsupervised_expert_mode

enable_genetic_algorithm

make_python_scoring_pipeline

make_mojo_scoring_pipeline

make_triton_scoring_pipeline

auto_deploy_triton_scoring_pipeline

triton_dedup_local_tmp

triton_dedup_local_tmp_timeout

triton_mini_acceptance_test_local

triton_mini_acceptance_test_remote

triton_client_timeout_testing

test_triton_when_making_mojo_pipeline_only

triton_push_bytes_local_singlenode

mojo_for_predictions_benchmark

mojo_for_predictions_benchmark_slower_than_python_threshold

mojo_for_predictions_benchmark_slower_than_python_min_rows

mojo_for_predictions_benchmark_slower_than_python_min_seconds

mojo_for_predictions

mojo_for_predictions_max_rows

mojo_for_predictions_batch_size

reduce_mojo_size

make_pipeline_visualization

make_python_pipeline_visualization

pass_env_to_deprecated_python_scoring

benchmark_mojo_latency

mojo_building_timeout

mojo_vis_building_timeout

mojo_building_parallelism

mojo_building_parallelism_base_model_size_limit

show_pipeline_sizes

max_workers

max_cores_dai

virtual_cores_per_physical_core

min_virtual_cores_per_physical_core_if_unequal

override_physical_cores

override_virtual_cores

stall_subprocess_submission_dai_fork_threshold_count

stall_subprocess_submission_mem_threshold_pct

max_cores_by_physical

max_cores_limit

max_predict_cores_in_dai_reduce_factor

max_max_predict_cores_in_dai

assumed_simultaneous_dt_forks_stats_openblas

max_max_dt_threads_stats_openblas

kaggle_username

kaggle_key

kaggle_timeout

disk_limit_gb

memory_limit_gb

min_num_rows

reproducibility_level

seed

glm_nan_impute_training_data

glm_nan_impute_validation_data

glm_nan_impute_prediction_data

max_cols

max_rows_cv_in_cv_gini

max_rows_constant_model

max_rows_final_ensemble_base_model_fold_scores

num_folds

fold_balancing_repeats_times_rows

max_fold_balancing_repeats

fixed_split_seed

show_fold_stats

allow_different_classes_across_fold_splits

save_validation_splits

max_num_classes

max_num_classes_compute_roc

max_num_classes_client_and_gui

roc_reduce_type

max_rows_cm_ga

num_actuals_vs_predicted

use_feature_brain_new_experiments

resume_data_schema

resume_data_schema_old_logic

feature_brain_level

feature_brain_reset_score

max_num_brain_indivs

feature_brain_save_every_iteration

which_iteration_brain

refit_same_best_individual

restart_refit_redo_origfs_shift_leak

brain_rel_dir

brain_add_features_for_new_columns

force_model_restart_to_defaults

min_dai_iterations

tensorflow_nlp_have_gpus_in_production

bert_migration_timeout_secs

enable_bert_transformer_acceptance_test

enable_bert_model_acceptance_test

target_transformer

target_transformer_tuning_choices

tournament_style

max_fold_reps_hard_limit

sanitize_natural_sort_limit

head_tail_fold_id_report_length

cvte_cv_in_cv_use_model

include_all_as_pretransformers_if_none_selected

force_include_all_as_pretransformers_if_none_selected

dask_retrials_allreduce_empty_issue

use_xgboost_xgbfi

scale_mem_for_max_bin

factor_rf

fixed_num_folds_evolution

fixed_num_folds

fixed_only_first_fold_model

fixed_fold_reps

feature_evolution_data_size

final_pipeline_data_size

limit_validation_size

max_validation_to_training_size_ratio_for_final_ensemble

force_stratified_splits_for_imbalanced_threshold_binary

force_stratified_splits_for_binary_max_rows

stratify_for_regression

cols_to_drop_sanitized

cols_to_group_by_sanitized

leaderboard_mode

leaderboard_off

default_knob_offset_accuracy

default_knob_offset_time

default_knob_offset_interpretability

drop_features_distribution_shift_min_features

shift_high_notification_level

leakage_key_features_varimp_if_no_early_stopping

drop_features_leakage_min_features

check_system

mutate_timeout

gpu_locking_trust_pool_submission

gpu_locking_free_dead

tensorflow_allow_cpu_only

check_pred_contribs_sum

debug_debug_xgboost_splits

stalled_time_kill_ref

long_time_psdump

do_psdump

livelock_signal

num_cpu_sockets_override

num_gpus_override

show_gpu_usage_only_if_locked

meta_weight_allowed_for_reference

show_full_pipeline_details

num_transformed_features_per_pipeline_show

many_columns_count

columns_count_interpretable

tuning_share_varimp

fast_approx_num_trees

fast_approx_do_one_fold

fast_approx_do_one_model

fast_approx_contribs_num_trees

fast_approx_contribs_do_one_fold

fast_approx_contribs_do_one_model

prediction_logging_interval

use_187_prob_logic

enable_ohe_linear

num_as_cat_false_if_ohe

no_ohe_try

tensorflow_num_classes_small_data_factor

tensorflow_num_classes_big_data_reduction_factor

max_varimp_to_save

config_overrides

delete_preview_trans_timings

use_random_text_file

runtime_estimation_train_frame

enable_bad_scorer

debug_col_dict_prefix

return_early_debug_col_dict_prefix

return_early_debug_preview

wizard_random_attack

wizard_enable_back_button

wizard_deployment

wizard_repro_level

wizard_sample_size

wizard_model

wizard_max_cols

wizard_timeout_preview

wizard_timeout_leakage

wizard_timeout_dups

wizard_timeout_varimp

wizard_timeout_schema

autoviz_enable_recommendations

last_recipe

mojo_acceptance_test_mojo_types

make_mojo_scoring_pipeline_for_features_only

mojo_replace_target_encoding_with_grouped_input_cols

predictions_as_transform_only

time_series_causal_split_recipe

use_lags_if_causal_recipe

min_ymd_timestamp

max_ymd_timestamp

max_rows_datetime_format_detection

disallowed_datetime_formats

use_datetime_cache

datetime_cache_min_rows

holiday_country

tgc_via_ui_max_ncols

tgc_dup_tolerance