[英]Validation_data argument in sklearn fit method
I am trying to get a separate predefined validation set passed to sklearn fit method.我正在尝试将单独的预定义验证集传递给 sklearn fit 方法。 I was wondering if there is already a given way in the sklearn API to fulfill this need, like it is given within the keras API:
我想知道在 sklearn API 中是否已经有一个给定的方法来满足这个需求,就像它在 keras API 中给出的那样:
model.fit(train_X, train_y, validation_data=(val_x, val_y))
and和
model.fit(train_X, train_y, validation_split=0.3)
Is there an equivialent within the sklearn API for the argument validation_data=(x_val, y_val)
? sklearn API 中是否有参数
validation_data=(x_val, y_val)
的等价物? I only can find the validation_split
argument within the documentation.我只能在文档中找到
validation_split
参数。
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