tf.data.experimental.rejection_resample

A transformation that resamples a dataset to achieve a target distribution. (deprecated)

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

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.

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