dimension_reduction module¶

Dimension reduction as a generic transformer.

The DimensionReduction class implements the concept of dimension reduction.

See also

pca

class gemseo.mlearning.transformers.dimension_reduction.dimension_reduction.DimensionReduction(name='', n_components=None, **parameters)[source]

Bases: Transformer

Dimension reduction.

Parameters:

name (str) –
A name for this transformer.

By default it is set to “”.
n_components (int | None) – The number of components of the latent space. If None, use the maximum number allowed by the technique, typically min(n_samples, n_features).
**parameters (bool | int | float | str | None) – The parameters of the transformer.

property n_components: int: The number of components.

name: str: The name of the transformer.

Examples using DimensionReduction¶

KL-SVD on Burgers equation

PCA on Burgers equation