grain.experimental.FlatMapMapDataset

class grain.experimental.FlatMapMapDataset(parent, transform)

Flat map for one-to-many split.

Parameters:

• parent (MapDataset)

• transform (FlatMapTransform)

__init__(parent, transform)

Parameters:

• parent (MapDataset)

• transform (FlatMapTransform)

Methods

__init__(parent, transform)
apply(transformations)	Returns a dataset with the given transformation(s) applied.
batch(batch_size, *[, drop_remainder, batch_fn])	Returns a dataset of elements batched along a new first dimension.
filter(transform)	Returns a dataset containing only the elements that match the filter.
map(transform)	Returns a dataset containing the elements transformed by transform.
map_with_index(transform)	Returns a dataset containing the elements transformed by transform.
pipe(func, /, *args, **kwargs)	Syntactic sugar for applying a callable to this dataset.
random_map(transform, *[, seed])	Returns a dataset containing the elements transformed by transform.
repeat([num_epochs, reseed_each_epoch])	Returns a dataset repeating the elements of this dataset multiple times.
seed(seed)	Returns a dataset that uses the seed for default seed generation.
shuffle([seed])	Returns a dataset with the same elements in a globally shuffled order.
slice(sl)	Returns a dataset containing only the elements with indices in sl.
to_iter_dataset([read_options, allow_nones])	Converts this dataset to an IterDataset.

Attributes

parents