Running a Tune experiment

run.py

analysis = tune.run(
    WrappedTrainable,
    name=exp_name,
    scheduler=sched,
    search_alg=search,
    stop={"training_iteration": CV_folds, "is_bad": True,},
    resources_per_trial={"cpu": cpu_per_sample, "gpu": int(compute == "GPU")},
    num_samples=num_samples,
    checkpoint_at_end=True,
    keep_checkpoints_num=1,
    local_dir="./results",
    trial_name_creator=get_trial_name,
    checkpoint_score_attr="test_accuracy",
    config={
        "n_estimators": tune.randint(n_estimators_range[0], n_estimators_range[1]),
        "max_depth": tune.randint(max_depth_range[0],
max_depth_range[1]),
        "max_features": tune.loguniform(max_features_range[0],  max_features_range[1]),
    },
    verbose=1,
    raise_on_failed_trial=False,
)