Source: keras_text/sampling.py#L0
equal_distribution_folds
equal_distribution_folds(y, folds=2)
Creates folds number of indices that has roughly balanced multi-label distribution.
Args:
- y: The multi-label outputs.
- folds: The number of folds to create.
Returns:
folds number of indices that have roughly equal multi-label distributions.
multi_label_train_test_split
multi_label_train_test_split(y, test_size=0.2)
Creates a test split with roughly the same multi-label distribution in y.
Args:
- y: The multi-label outputs.
- test_size: The test size in [0, 1]
Returns:
The train and test indices.