실험 설정

본 섹션에는 총 런타임, 재현성 레벨, 파이프라인 구축, 특성 브레인 제어, config.toml 설정 추가 등과 같은 실험의 사용자 지정에 이용할 수 있는 설정이 포함되어 있습니다.

max_runtime_minutes

max_runtime_minutes_until_abort

pipeline-building-recipe

enable_genetic_algorithm

tournament_style

make_python_scoring_pipeline

make_mojo_scoring_pipeline

reduce_mojo_size

benchmark_mojo_latency

mojo_building_timeout

mojo_building_parallelism

make_pipeline_visualization

make_autoreport

min_num_rows

kaggle_username

kaggle_key

kaggle_timeout

reproducibility_level

seed

allow_different_classes_across_fold_splits

max_num_classes

max_num_classes_compute_roc

max_num_classes_client_and_gui

roc_reduce_type

feature_brain1

feature_brain2

feature_brain3

feature_brain4

feature_brain5

force_model_restart_to_defaults

min_dai_iterations

target_transformer

fixed_num_folds_evolution

fixed_num_folds

fixed_only_first_fold_model

feature_evolution_data_size

final_pipeline_data_size

max_validation_to_training_size_ratio_for_final_ensemble

force_stratified_splits_for_imbalanced_threshold_binary

mli_custom

last_recipe

time_abort