tf.data.experimental.rejection_resample
A transformation that resamples a dataset to achieve a target distribution.
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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/data/experimental/rejection_resample