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)
mongo_enabled_learning.py 文件源码
python
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