tf.data.experimental.rejection_resample

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.compat.v2.data.experimental.rejection_resample`

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

Note: Resampling is performed via rejection sampling; some fraction of the input values will be dropped.

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.