tf.data.experimental.RandomDataset

TensorFlow 1 version

View source on GitHub

A transformation that resamples a dataset to achieve a target distribution.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.data.experimental.rejection_resample

tf.data.experimental.rejection_resample(
    class_func, target_dist, initial_dist=None, seed=None
)

Used in the notebooks

Used in the guide
tf.data: Build TensorFlow input pipelines

Args
`class_func`	A function mapping an element of the input dataset to a scalar `tf.int32` tensor. Values should be in `[0, num_classes)`.
`target_dist`	A floating point type tensor, shaped `[num_classes]`.
`initial_dist`	(Optional.) A floating point type tensor, shaped `[num_classes]`. If not provided, the true class distribution is estimated live in a streaming fashion.
`seed`	(Optional.) Python integer seed for the resampler.

Returns
A `Dataset` transformation function, which can be passed to `tf.data.Dataset.apply`.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.data / experimental / experimental.RandomDataset

View aliases

Used in the notebooks

Args

Returns