gemseo / mlearning / transform

# pipeline module¶

A pipeline to chain transformers.

The Pipeline class chains a sequence of tranformers, and provides global fit(), transform(), fit_transform() and inverse_transform() methods.

class gemseo.mlearning.transform.pipeline.Pipeline(name='Pipeline', transformers=None)[source]

Transformer pipeline.

Parameters
• name (str) –

A name for this pipeline.

By default it is set to Pipeline.

• transformers (Sequence[Transformer] | None) –

A sequence of transformers to be chained. The transformers are chained in the order of appearance in the list, i.e. the first transformer is applied first. If transformers is an empty list or None, then the pipeline transformer behaves like an identity transformer.

By default it is set to None.

Return type

None

compute_jacobian(data)[source]

Compute the Jacobian of the pipeline.transform().

Parameters

data (numpy.ndarray) – The data where the Jacobian is to be computed.

Returns

The Jacobian matrix.

Return type

numpy.ndarray

compute_jacobian_inverse(data)[source]

Compute the Jacobian of the pipeline.inverse_transform().

Parameters

data (numpy.ndarray) – The data where the Jacobian is to be computed.

Returns

The Jacobian matrix.

Return type

numpy.ndarray

duplicate()[source]

Duplicate the current object.

Returns

A deepcopy of the current instance.

Return type

gemseo.mlearning.transform.pipeline.Pipeline

fit(data, *args)

Fit the transformer to the data.

Parameters
Return type

NoReturn

fit_transform(data, *args)

Fit the transformer to the data and transform the data.

Parameters
Returns

The transformed data.

Return type

numpy.ndarray

inverse_transform(data)[source]

Perform an inverse transform on the data.

The data is inverse transformed sequentially, starting with the last transformer in the list.

Parameters

data (numpy.ndarray) – The data to be inverse transformed.

Returns

The inverse transformed data.

Return type

numpy.ndarray

transform(data)[source]

Transform the data.

The data is transformed sequentially, where the output of one transformer is the input of the next.

Parameters

data (numpy.ndarray) – The data to be transformed.

Returns

The transformed data.

Return type

numpy.ndarray

CROSSED = False
name: str

The name of the transformer.

parameters: str

The parameters of the transformer.

transformers: Sequence[gemseo.mlearning.transform.transformer.Transformer]

The sequence of transformers.