sup3r.preprocessing.collections.base.Collection

class Collection(containers: List[Container] | List[Sampler] | List[DualSampler])

Bases: Container

Object consisting of a set of containers. These objects are distinct from Sup3rDataset objects, which also contain multiple data members, because these members are completely independent of each other. They are collected together for the purpose of expanding a training dataset (e.g. BatchHandlers).

Parameters:

data (Union[Sup3rX, Sup3rDataset, Tuple[Sup3rX, …],) – Tuple[Sup3rDataset, …] Can be an xr.Dataset, a Sup3rX object, a Sup3rDataset object, or a tuple of such objects.

Note

.data will return a Sup3rDataset object or tuple of such. This is a tuple when the .data attribute belongs to a Collection object like BatchHandler. Otherwise this is Sup3rDataset object, which is either a wrapped 2-tuple or 1-tuple (e.g. len(data) == 2 or len(data) == 1). This is a 2-tuple when .data belongs to a dual container object like DualSampler and a 1-tuple otherwise.

Methods

check_shared_attr(attr)	Check if all containers have the same value for attr.
post_init_log([args_dict])	Log additional arguments after initialization.
wrap(data)	Return a Sup3rDataset object or tuple of such.

Attributes

container_weights	Get weights used to sample from different containers based on relative sizes
data	Return underlying data.
features	Get all features contained in data.
shape	Get shape of underlying data.

property data

Return underlying data.

Returns:

Sup3rDataset

See also

wrap()

property features

Get all features contained in data.

property container_weights

Get weights used to sample from different containers based on relative sizes

check_shared_attr(attr)

Check if all containers have the same value for attr. If they do the collection effectively inherits those attributes.

post_init_log(args_dict=None)

Log additional arguments after initialization.

property shape

Get shape of underlying data.

wrap(data)

Return a Sup3rDataset object or tuple of such. This is a tuple when the .data attribute belongs to a Collection object like BatchHandler. Otherwise this is Sup3rDataset object, which is either a wrapped 2-tuple or 1-tuple (e.g. len(data) == 2 or len(data) == 1). This is a 2-tuple when .data belongs to a dual container object like DualSampler and a 1-tuple otherwise.