mongo_enabled_learning.py 文件源码

def compute_metrics(metrics, learn_data, model_data):
    target_label_gound_truth = load_df_from_sample_notation(model_data['Feature Sample Location'])[model_data['Target Variable']]
    prediction = learn_data['Prediction']
    if metric=='AUC':
        return 0.9 # zaglushka sk.metrics.auc_mathafaka( target_label_gound_truth, prediction)