Ë BÆVh8ãój—dZddlmZddlmZej dd«ed«dd„««Zy) z#Resampling dataset transformations.é)Ú deprecation)Ú tf_exportNz.Use `tf.data.Dataset.rejection_resample(...)`.z$data.experimental.rejection_resamplec󇇇‡—ˆˆˆˆfd„}|S)aþA 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. 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`. có.•—|j‰‰‰‰¬«S)zEFunction from `Dataset` to `Dataset` that applies the transformation.)Ú class_funcÚ target_distÚ initial_distÚseed)Úrejection_resample)Údatasetrr r rs €€€€úb/home/dcms/DCMS/lib/python3.12/site-packages/tensorflow/python/data/experimental/ops/resampling.pyÚ _apply_fnz%rejection_resample.._apply_fn)s)ø€ð × %Ñ %ØØØ!Ø ð &ó ðó©)rrr r rs```` r r r sû€÷*ð Ðr)NN)Ú__doc__Útensorflow.python.utilrÚ tensorflow.python.util.tf_exportrÚ deprecatedr rrr úrsCðñ*Ý.Ý6ð€×јÐNÓOÙ Ð 1Ó2òó3óPñr