/TensorFlow 1.15


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

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

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Code samples licensed under the Apache 2.0 License.