Lambda

class hybrid_learning.datasets.transforms.common.Lambda(fun)[source]

Bases: Transform

Generic lambda transformation that applies the given function.

Warning

Note that lambda functions by default cannot be pickled and thus will cause errors when used in a multiprocessing context! It is strongly recommended to provide a callable object instead.

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:

apply_to(*inp)

Application of the lambda.

Inherited from : py: class:Transform

apply_to(*inp)

Application of the lambda.

Special Methods:

__repr__()

Return repr(self).

__init__(fun)

Init.

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.


Parameters

fun (Callable) –

__init__(fun)[source]

Init.

Parameters

fun (Callable) – the function to apply on call

__repr__()[source]

Return repr(self).

Return type

str

apply_to(*inp)[source]

Application of the lambda.

fun: Callable

The function to apply on call.

property settings: Dict[str, Any]

Settings to reproduce the instance.