pipeline module¶

Data transformer pipeline¶

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.

Constructor.

Parameters

name (str) – transformer pipeline name. Default: ‘Pipeline’.
transformers (list(Transformer)) – 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. Default: None.

compute_jacobian(data)[source]¶

Compute Jacobian of the pipeline transform.

Parameters: data (ndarray) – data where the Jacobian is to be computed.
Returns: Jacobian matrix.
Return type: ndarray

compute_jacobian_inverse(data)[source]¶

Compute Jacobian of the pipeline inverse_transform.

Parameters: data (ndarray) – data where the Jacobian is to be computed.
Returns: Jacobian matrix.
Return type: ndarray

fit(data)[source]¶

Fit transformer pipeline to data. All the transformers are fitted, transforming the data along the way.

inverse_transform(data)[source]¶

Perform an inverse transform on the data. The data is inverse transformed sequentially, starting with the last tranformer in the list.

transform(data)[source]¶

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