ludwig automl --dataset=<>
--target=
--enable_hyperopt= # whether to run hyperopt, default False.
--time_limit_s= # How long to run hyperopt for. If specified, hyperopt is enabled.
--tune_for_memory=
--output_directory=
--random_seed=
--user_config=
--use_reference_config=
One notable difference is that we'll want to set hyperopt to be disabled by default, which is consistent with other automl offerings like flaml.
One idea, mirroring
ludwig.automl.auto_train()
One notable difference is that we'll want to set hyperopt to be disabled by default, which is consistent with other automl offerings like flaml.