tf.keras.utils.split_dataset

Split a dataset into a left half and a right half (e.g. train / test).

tf.keras.utils.split_dataset(
    dataset, left_size=None, right_size=None, shuffle=False, seed=None
)

Args
`dataset`	A `tf.data.Dataset` object or a list/tuple of arrays with the same length.
`left_size`	If float, it should be in range `[0, 1]` range and signifies the fraction of the data to pack in the left dataset. If integer, it signifies the number of samples to pack in the left dataset. If `None`, it defaults to the complement to `right_size`.
`right_size`	If float, it should be in range `[0, 1]` range and signifies the fraction of the data to pack in the right dataset. If integer, it signifies the number of samples to pack in the right dataset. If `None`, it defaults to the complement to `left_size`.
`shuffle`	Boolean, whether to shuffle the data before splitting it.
`seed`	A random seed for shuffling.

Returns
A tuple of two `tf.data.Dataset` objects: the left and right splits.

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Last updated 2022-10-27 UTC.

Args