有keras方法来拆分数据吗? [英] Is there a keras method to split data?

问题描述

我认为标题是不言自明的，但是要详细询问，有sklearn的方法train_test_split()，其工作方式如下:X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.3, stratify = Y)这意味着:该方法将以0.3:0.7的比例分割数据并尝试使百分比成为两个数据中的标签相等.有与之相当的喀拉拉邦吗?

解决方案

不幸的是，答案(尽管我们希望如此)为否！有一些现有的数据集，例如MNIST等，可以直接加载:

(X_train, y_train), (X_test, y_test) = mnist.load_data()

这种以拆分方式进行的直接加载使人们不希望拥有一种通用方法，但是不幸的是，这里没有这种方法，尽管您可能会对使用类似的问题

I think the title is self explanatory but to ask it in details, there's sklearn's method train_test_split() which works like: X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.3, stratify = Y) It means: the method will split data with 0.3 : 0.7 ratio and will try to make percentage of labels in both data equal. Is there a keras equivalent of this?

解决方案

Unfortunately, the answer (despite our wish) is No! There are some existing datasets like MNIST etc. which can be directly loaded:

(X_train, y_train), (X_test, y_test) = mnist.load_data()

This direct loading in a splitted way makes one have a false hope to have a general method, but unfortunately that isn't present here, though you may would be interested in using the wrappers for SciKit-Learn on Keras.

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