我想并排查看训练数据和测试数据的损耗曲线.目前,使用clf.loss_curve(参见下文)获得每次迭代的训练集损失似乎很简单.
from sklearn.neural_network import MLPClassifier
clf = MLPClassifier()
clf.fit(X,y)
clf.loss_curve_ # this seems to have loss for the training set
但是,我还想在测试数据集上绘制性能.这可用吗？