Compose

class hybrid_learning.datasets.transforms.common.Compose(transforms)

Bases: Transform

Compose several transforms by sequentially executing them.

Public Data Attributes:

settings

Settings to reproduce the instance.

Inherited from : py: class:Transform

IDENTITY_CLASS	The identity class or classes for composition / addition.
settings	Settings to reproduce the instance.

Public Methods:

append(trafo)	Append transformation to the processing chain.
insert(i, trafo)	Insert trafo at index i into the processing chain.
apply_to(*inps)	Apply all transformations in order.

Inherited from : py: class:Transform

apply_to(*inps)

Apply all transformations in order.

Special Methods:

__init__(transforms)
__getitem__(i)	Get item from transforms member.
__len__()	Get length of transforms member.

Inherited from : py: class:Transform

__repr__()	Return repr(self).
__eq__(other)	Return self==value.
__copy__()	Return a shallow copy of self using settings.
__add__(other)	Return a flat composition of self with other.
__radd__(other)	Return a flat composition of other and self.
__call__(*inps)	General call to the transformation.

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Parameters

transforms (Sequence[Callable]) –

__getitem__(i)

Get item from transforms member.

Parameters

i (int) –

__init__(transforms)

Parameters

transforms (Sequence[Callable]) –

__len__()

Get length of transforms member.

append(trafo)

Append transformation to the processing chain.

Parameters

trafo (Callable) –

apply_to(*inps)

Apply all transformations in order. Transformations are taken from transforms.

Return type

Tuple

insert(i, trafo)

Insert trafo at index i into the processing chain.

Parameters

• i (int) –

• trafo (Callable) –

property settings

Settings to reproduce the instance.

transforms: List[Callable]

List of tuple transformations to apply in order.