dataset_shuffle: Randomly shuffles the elements of this dataset.

In tfdatasets: Interface to 'TensorFlow' Datasets

Randomly shuffles the elements of this dataset.

Description

Randomly shuffles the elements of this dataset.

Usage

dataset_shuffle(
  dataset,
  buffer_size,
  seed = NULL,
  reshuffle_each_iteration = NULL
)

Arguments

dataset	A dataset
buffer_size	An integer, representing the number of elements from this dataset from which the new dataset will sample.
seed	(Optional) An integer, representing the random seed that will be used to create the distribution.
reshuffle_each_iteration	(Optional) A boolean, which if true indicates that the dataset should be pseudorandomly reshuffled each time it is iterated over. (Defaults to TRUE). Not used if TF version < 1.15

Value

A dataset

See Also

Other dataset methods: dataset_batch(), dataset_cache(), dataset_collect(), dataset_concatenate(), dataset_decode_delim(), dataset_filter(), dataset_interleave(), dataset_map_and_batch(), dataset_map(), dataset_padded_batch(), dataset_prefetch_to_device(), dataset_prefetch(), dataset_reduce(), dataset_repeat(), dataset_shuffle_and_repeat(), dataset_skip(), dataset_take_while(), dataset_take(), dataset_window()

tfdatasets documentation built on June 30, 2022, 1:04 a.m.