tff.simulation.datasets.build_dataset_mixture

Build a new dataset that probabilistically returns examples.

tff.simulation.datasets.build_dataset_mixture(
    a, b, a_probability, seed=None
)

Args
`a`	The first `tf.data.Dataset`.
`b`	The second `tf.data.Dataset`.
`a_probability`	The `float` probability to select the next example from the `a` dataset.
`seed`	An optional `int` seed for creating a `tf.random.Generator`. If set to `None`, the generator will be created via `tf.random.Generator.from_non_deterministic_state`. Note that setting a random seed alone is not enough to guarantee complete reproducibility of results. For example, random number generation is not guaranteed to be consistent across TensorFlow versions (see https://www.tensorflow.org/guide/versions#what_is_not_covered).

Returns
A `tf.data.Dataset` that returns examples from dataset `a` with probability `a_probability`, and examples form dataset `b` with probability `(1 - a_probability)`. The dataset will yield the number of examples equal to the smaller of `a` or `b`.

Args