问如何使用顶点AI托管数据集进行超参数优化操作

EN

import hypertune

hp_metric = f1_score(y_test, y_pred, average='weighted')    
    
hpt = hypertune.HyperTune()
    hpt.report_hyperparameter_tuning_metric(hyperparameter_metric_tag='accuracy',metric_value=hp_metric,global_step=100)

if __name__ == '__main__':
    
    parser = argparse.ArgumentParser()
    # Input Arguments
    
    parser.add_argument(
        '--max_depth',
        help = 'RF model parameter- depth',
        type = int,
        default = 100
    )
    
    parser.add_argument(
        '--max_features',
        help = 'RF model parameter- Features',
        type = int,
        default = 34
    )
    
    parser.add_argument(
        '--max_leaf_nodes',
        help = 'RF max_leaf_nodes',
        type = int,
        default = 8
    )
    
    parser.add_argument(
        '--min_samples_leaf',
        help = 'RF min_samples_leaf',
        type = int,
        default = 1
    )