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. |