9.2.5. Pipeline#

Provide imports for pipeline sub-package.

class junifer.pipeline.PipelineStepMixin#

Mixin class for a pipeline step.

fit_transform(input, **kwargs)#

Fit and transform.

Parameters:

inputdict: The Junifer Data object.
**kwargsdict: Extra keyword arguments passed to the concrete class’ _fit_transform().

Returns:

dict: The processed output of the pipeline step.

get_output_type(input_type)#

Get output type.

Parameters:

input_typestr: The data type input to the marker.

Returns:

str: The storage type output by the marker.

validate(input)#

Validate the the pipeline step.

Parameters:

inputlist of str: The input to the pipeline step.

Returns:

list of str: The output of the pipeline step.

Raises:

ValueError: If the pipeline step object is missing dependencies required for its working or if the input does not have the required data.

validate_input(input)#

Validate the input to the pipeline step.

Parameters:

inputlist of str: The input to the pipeline step. The list must contain the available Junifer Data dictionary keys.

Returns:

list of str: The actual elements of the input that will be processed by this pipeline step.

Raises:

ValueError: If the input does not have the required data.

class junifer.pipeline.UpdateMetaMixin#

Mixin class for updating meta.

update_meta(input, step_name)#

Update metadata.

Parameters:

inputdict: The data object to update.
step_namestr: The name of the pipeline step.

9.2.6. Registry#

Provide functions for registry.

junifer.pipeline.registry.build(step, name, baseclass, init_params=None)#

Ensure that the given object is an instance of the given class.

Parameters:

stepstr: Name of the step.
namestr: Name of the function.
baseclassclass: Class to be checked against.
init_paramsdict or None, optional: Parameters to pass to the base class constructor (default None).

Returns:

object: An instance of the given base class.

Raises:

ValueError: If the created object with the given name is not an instance of the base class.

junifer.pipeline.registry.get_class(step, name)#

Get the class of the registered function for a given step.

Parameters:

stepstr: Name of the step.
namestr: Name of the function.

Returns:

class: Registered function class.

junifer.pipeline.registry.get_step_names(step)#

Get the names of the registered functions for a given step.

Parameters:

stepstr: Name of the step.

Returns:

list: List of registered function names.

junifer.pipeline.registry.register(step, name, klass)#

Parameters:

stepstr: Name of the step.
namestr: Name of the function.
klassclass: Class to be registered.