tfdatasets (version 2.17.0)

dataset_shuffle: 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
)

Value

A dataset

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

See Also

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