def process_fold(X_train, X_val, y_train, y_val, X_test):
#XGBoos
clf = OneVsRestClassifier(xgb.XGBClassifier(learning_rate=0.005, n_estimators=500))
clf.fit(X_train, y_train)
y_p_x = clf.predict_proba(X_val)
y_p_x_tst = clf.predict_proba(X_test)
# Keras
y_p_k, y_p_k_tst = KerasClassifier(X_train, y_train, X_val, y_val, X_test)
return (y_p_x+y_p_k) / 2.0, (y_p_x_tst+y_p_k_tst) / 2.0
Stage4_KerasXGBoostMEUFsubmission.py 文件源码
python
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