OnIndex
- class hybrid_learning.datasets.transforms.tuple_transforms.OnIndex(indices, trafo)[source]
Bases:
_IndexedTupleTrafo,_PartialTupleTrafoApply a given transformation to tuple items at given indices.
Public Data Attributes:
Settings to reproduce the instance.
Inherited from : py: class:_IndexedTupleTrafo
Settings to reproduce the instance.
Inherited from : py: class:_PartialTupleTrafo
Settings to reproduce the instance.
Inherited from : py: class:Transform
IDENTITY_CLASSThe identity class or classes for composition / addition.
Settings to reproduce the instance.
Public Methods:
apply_to(*inputs)Apply the transformation to the tuple
(inp, target); the output again is a tuple.Inherited from : py: class:_IndexedTupleTrafo
unique_pos_indices_for(inputs)For an input tuple of certain length return the unique positive indices to work on.
Inherited from : py: class:TupleTransforms
apply_to(*inputs)Apply the transformation to the tuple
(inp, target); the output again is a tuple.Inherited from : py: class:Transform
apply_to(*inputs)Apply the transformation to the tuple
(inp, target); the output again is a tuple.Special Methods:
__init__(indices, trafo)Init.
Inherited from : py: class:_IndexedTupleTrafo
__init__(indices, trafo)Init.
Inherited from : py: class:_PartialTupleTrafo
__init__(indices, trafo)Init.
Inherited from : py: class:TupleTransforms
__init__(indices, trafo)Init.
__call__(*inputs)Apply the transformation to the tuple
(inp, target); the output again is a tuple.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
selfwithother.__radd__(other)Return a flat composition of
otherandself.__call__(*inputs)Apply the transformation to the tuple
(inp, target); the output again is a tuple.