TransformerPipeline

class TransformerPipeline(transformers, name=None)

Chain multiple transformers.

Given \(\tau\in\NN\) transformers \(\mathcal{T}_1,\ldots,\mathcal{T}_{\tau}\), this class defines the compositional transformer \(\mathcal{T} = \mathcal{T}_{\tau}\circ\cdots\circ\mathcal{T}_1\).

Parameters:

transformerstuple of instantiated Transformer objects

Transformers to be chained together; transformers[0] is applied first, then transformers[1], and so on.

namestr or None

Label for the state variable that this transformer acts on.

Notes

This class connects multiple transformers “horizontally”; see TransformerMulti to connect multiple transformers “vertically”, i.e., to assign different transformations for different parts of the state.

Properties:

name

Label for the state variable that this transformer acts on.

num_transformers

Number of transformers chained together.

state_dimension

Dimension \(n\) of the state.

transformers

Transformers being chained together; transformers[0] is applied first, then transformers[1], and so on.

Methods:

fit	Learn (but do not apply) the transformation.
fit_transform	Learn and apply the transformation.
inverse_transform	Apply the inverse of the learned transformation.
load	Load a previously saved transformer from an HDF5 file.
save	Save the transformer to an HDF5 file.
transform	Apply the learned transformation.
transform_ddts	Apply the learned transformation to snapshot time derivatives.
verify	Verify that transform() and inverse_transform() are consistent and that transform_ddts(), if implemented, is consistent with transform().