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batch_operations

Operations done at batch time defined here.

Classes​

AlbumentationsImageTransformation​

class AlbumentationsImageTransformation(    *,    name: str = None,    output: bool = False,    arg: Any,    step: DataSplit,    transformations: list[Union[str, dict[str, _JSONDict]]],):

Represents image transformations done on a single column at batch time.

Arguments

  • arg: The argument to the transformation.
  • name: The name of the transformation. If not provided a unique name will be generated from the class name.
  • output: Whether or not this transformation should be included in the final output. Defaults to False.
  • step: Denotes whether transformations should be performed at training, validation or test time.
  • transformations: list of transformations to be performed in order as one transformation.

Raises

  • TransformationRegistryError: If the transformation name is already in use.
  • TransformationRegistryError: If the transformation name hasn't been provided and the transformation is not registered.
  • ValueError: If the output is set to False.

Method generated by attrs for class AlbumentationsImageTransformation.

Ancestors​

Variables​

  • static transformations : list

Static methods​

schema​

def schema() ‑> marshmallow.schema.Schema:

Inherited from:

BatchTimeOperation.schema :

Gets an instance of the Schema associated with this Transformation.

Raises

  • TypeError: If the transformation doesn't have a TransformationSchema as the schema.

Methods​

get_callable​

def get_callable(    self,) ‑> bitfount.transformations.batch_operations._AlbumentationsAugmentation:

Returns callable which performs the transformations.

Returns The callable to perform transformations.

BatchTimeOperation​

class BatchTimeOperation(    *, name: str = None, output: bool = False, arg: Any, step: DataSplit,):

Class just to denote that transformation will happen at batch time.

All batch time operations must be unary operations.

Arguments

  • arg: The argument to the transformation.
  • name: The name of the transformation. If not provided a unique name will be generated from the class name.
  • output: Whether or not this transformation should be included in the final output. Defaults to False.
  • step: Denotes whether transformations should be performed at training, validation or test time.

Raises

  • TransformationRegistryError: If the transformation name is already in use.
  • TransformationRegistryError: If the transformation name hasn't been provided and the transformation is not registered.

Method generated by attrs for class BatchTimeOperation.

Ancestors​

Subclasses​

Variables​

Static methods​

schema​

def schema() ‑> marshmallow.schema.Schema:

Inherited from:

UnaryOperation.schema :

Gets an instance of the Schema associated with this Transformation.

Raises

  • TypeError: If the transformation doesn't have a TransformationSchema as the schema.