输入数据可以如下所示:sprd-spipe: spipe 5-4 not ready to open!sprd-spipe: spipe 5-4 not ready to open!sprd-spipe: spipe 5-4 not ready to open!sprd-spipe: spipe 5-4 not ready to o
我想并排查看训练数据和测试数据的损失曲线。目前,使用clf.loss_curve获得每次迭代的训练集损失似乎很简单(见下文)。MLPClassifier()clf.loss_curve_ # this seems to have loss for the training set
然而,我也想在一个测试数据集上绘制性能图