Expert configuration

time_abort_format

time_abort_timezone

inject_mojo_for_predictions

mojo_acceptance_test_rtol

mojo_acceptance_test_atol

max_cols_make_autoreport_automatically

max_cols_make_pipeline_visualization_automatically

transformer_description_line_length

benchmark_mojo_latency_auto_size_limit

max_dt_threads_do_timeseries_split_suggestion

kaggle_keep_submission

kaggle_competitions

ping_period

ping_autodl

stall_disk_limit_gb

min_rows_per_class

min_rows_per_split

tf_nan_impute_value

statistical_threshold_data_size_small

statistical_threshold_data_size_large

aux_threshold_data_size_large

set_method_sampling_row_limit

performance_threshold_data_size_small

performance_threshold_data_size_large

gpu_default_threshold_data_size_large

max_relative_cols_mismatch_allowed

max_rows_final_blender

min_rows_final_blender

max_rows_final_train_score

max_rows_final_roccmconf

max_rows_final_holdout_score

max_rows_final_holdout_bootstrap_score

max_rows_leak

max_workers_fs

max_workers_shift_leak

max_orig_nonnumeric_cols_selected_default

full_cv_accuracy_switch

ensemble_accuracy_switch

num_ensemble_folds

fold_reps

max_num_classes_hard_limit

min_roc_sample_size

enable_strict_confict_key_check_for_brain

allow_change_layer_count_brain

brain_maximum_diff_score

brain_max_size_GB

early_stopping

early_stopping_per_individual

text_dominated_limit_tuning

image_dominated_limit_tuning

supported_image_types

image_paths_absolute

text_dl_token_pad_percentile

text_dl_token_pad_max

tune_parameters_accuracy_switch

tune_target_transform_accuracy_switch

tournament_uniform_style_interpretability_switch

tournament_uniform_style_accuracy_switch

tournament_model_style_accuracy_switch

tournament_feature_style_accuracy_switch

tournament_fullstack_style_accuracy_switch

tournament_use_feature_penalized_score

tournament_keep_poor_scores_for_small_data

tournament_remove_poor_scores_before_evolution_model_factor

tournament_remove_worse_than_constant_before_evolution

tournament_keep_absolute_ok_scores_before_evolution_model_factor

tournament_remove_poor_scores_before_final_model_factor

tournament_remove_worse_than_constant_before_final_model

num_individuals

cv_in_cv_overconfidence_protection_factor

excluded_transformers

excluded_genes

excluded_models

excluded_pretransformers

excluded_datas

excluded_individuals

excluded_scorers

use_dask_for_1_gpu

optuna_pruner_kwargs

optuna_sampler_kwargs

drop_constant_model_final_ensemble

xgboost_rf_exact_threshold_num_rows_x_cols

lossguide_drop_factor

lossguide_max_depth_extend_factor

params_tune_grow_policy_simple_trees

max_epochs_tf_big_data

default_max_bin

default_lightgbm_max_bin

min_max_bin

tensorflow_use_all_cores

tensorflow_use_all_cores_even_if_reproducible_true

tensorflow_disable_memory_optimization

tensorflow_cores

tensorflow_model_max_cores

bert_cores

bert_use_all_cores

bert_model_max_cores

one_hot_encoding_show_actual_levels_in_features

validate_meta_learner

validate_meta_learner_extra

num_fold_ids_show

fold_scores_instability_warning_threshold

imbalance_ratio_multiclass_threshold

heavy_imbalance_ratio_multiclass_threshold

imbalance_sampling_rank_averaging

imbalance_ratio_notification_threshold

nbins_ftrl_list

te_bin_list

woe_bin_list

ohe_bin_list

binner_bin_list

drop_duplicate_rows_timeout

shift_check_text

use_rf_for_shift_if_have_lgbm

shift_key_features_varimp

shift_check_reduced_features

shift_trees

shift_max_bin

shift_min_max_depth

shift_max_max_depth

detect_features_distribution_shift_threshold_auc

leakage_check_text

leakage_key_features_varimp

leakage_check_reduced_features

use_rf_for_leakage_if_have_lgbm

leakage_trees

leakage_max_bin

leakage_min_max_depth

leakage_max_max_depth

leakage_train_test_split

check_system_basic

abs_tol_for_perfect_score

data_ingest_timeout

debug_daimodel_level

log_predict_info

log_fit_info

show_inapplicable_models_preview

show_inapplicable_transformers_preview

show_warnings_preview

show_warnings_preview_unused_map_features

max_cols_show_unused_features

max_cols_show_feature_transformer_mapping

warning_unused_feature_show_max

interaction_finder_max_rows_x_cols

interaction_finder_corr_threshold

min_bootstrap_samples

max_bootstrap_samples

min_bootstrap_sample_size_factor

max_bootstrap_sample_size_factor

bootstrap_final_seed

benford_mad_threshold_int

benford_mad_threshold_real

stabilize_features

fraction_std_bootstrap_ladder_factor

bootstrap_ladder_samples_limit

rdelta_percent_score_penalty_per_feature_by_interpretability

drop_low_meta_weights

meta_weight_allowed_by_interpretability

fs_data_vary_for_interpretability

fs_data_frac

round_up_indivs_for_busy_gpus

require_graphviz

fast_approx_max_num_trees_ever

max_absolute_feature_expansion

model_class_name_for_shift

model_class_name_for_leakage

tensorflow_num_classes_switch_but_keep_lightgbm

textlin_num_classes_switch

text_gene_dim_reduction_choices

text_gene_max_ngram

number_of_texts_to_cache_in_bert_transformer

gbm_early_stopping_rounds_min

gbm_early_stopping_rounds_max

max_num_varimp_to_log

max_num_varimp_shift_to_log

can_skip_final_upper_layer_failures

dump_modelparams_every_scored_indiv_feature_count

dump_modelparams_every_scored_indiv_mutation_count

dump_modelparams_separate_files

oauth2_client_tokens_enabled

pdp_max_threads

autoviz_max_num_columns

autoviz_max_aggregated_rows

enable_custom_recipes_from_url

enable_custom_recipes_from_zip

enable_recreate_custom_recipes_env

include_custom_recipes_by_default

h2o_recipes_url

h2o_recipes_ip

h2o_recipes_nthreads

h2o_recipes_log_level

h2o_recipes_max_mem_size

h2o_recipes_min_mem_size

h2o_recipes_kwargs

h2o_recipes_start_trials

h2o_recipes_start_sleep0

h2o_recipes_start_sleep

custom_recipes_lock_to_git_repo

custom_recipes_git_repo

custom_recipes_git_branch

custom_recipes_excluded_filenames_from_repo_download

allow_old_recipes_use_datadir_as_data_directory

enable_custom_transformers

enable_custom_pretransformers

enable_custom_models

enable_custom_scorers

enable_custom_datas

enable_custom_explainers

enable_custom_individuals

enable_connectors_recipes

contrib_relative_directory

contrib_env_relative_directory

pip_install_overall_retries

pip_install_verbosity

pip_install_timeout

pip_install_retries

pip_install_use_constraint

pip_install_options

enable_basic_acceptance_tests

enable_acceptance_tests

skip_disabled_recipes

contrib_reload_and_recheck_server_start

contrib_install_packages_server_start

contrib_reload_and_recheck_worker_tasks

num_rows_acceptance_test_custom_transformer

num_rows_acceptance_test_custom_model

enable_mapr_multi_user_mode

minio_secret_access_key

h2o_mli_nthreads

mli_pd_numcat_num_chart

mli_pd_numcat_threshold

mli_run_kernel_explainer

mli_kernel_explainer_sample

mli_kernel_explainer_sample_size

mli_kernel_explainer_nsamples

mli_kernel_explainer_l1_reg

mli_kernel_explainer_max_runtime

dask_cuda_cluster_kwargs

dask_cluster_kwargs

dask_scheduler_env

dask_worker_env

dask_cuda_worker_env

enable_imputation

Enabling imputation adds new picker to EXPT setup GUI and triggers imputation functionality in Transformers ** (Boolean) (Expert Setting)

Default value False

Enable column imputation

datatable_parse_max_memory_bytes

datatable_separator

ping_load_data_file

high_correlation_value_to_report

datatable_bom_csv

check_invalid_config_toml_keys

predict_safe_trials

fit_safe_trials

allow_no_pid_host

terminate_experiment_if_memory_low

memory_limit_gb_terminate

last_exclusive_mode

max_time_series_properties_sample_size

max_lag_sizes

min_lag_autocorrelation

max_signal_lag_sizes

single_model_vs_cv_score_reldiff

single_model_vs_cv_score_reldiff2