pca module¶
The Principal Component Analysis (PCA) to reduce the dimension of a variable.
The PCA
class wraps the PCA from Scikit-learn.
Dependence¶
This dimension reduction algorithm relies on the PCA class of the scikit-learn library.
- class gemseo.mlearning.transform.dimension_reduction.pca.PCA(name='PCA', n_components=None, **parameters)[source]¶
Bases:
gemseo.mlearning.transform.dimension_reduction.dimension_reduction.DimensionReduction
Principal component dimension reduction algorithm.
- Parameters
name (str) –
A name for this transformer.
By default it is set to PCA.
n_components (int | None) –
The number of components of the latent space. If
None
, use the maximum number allowed by the technique, typicallymin(n_samples, n_features)
.By default it is set to None.
**parameters (float | int | str | bool | None) – The optional parameters for sklearn PCA constructor.
- Return type
None
- compute_jacobian(data)[source]¶
Compute Jacobian of transformer.transform().
- Parameters
data (numpy.ndarray) – The data where the Jacobian is to be computed.
- Returns
The Jacobian matrix.
- Return type
- compute_jacobian_inverse(data)[source]¶
Compute Jacobian of the transformer.inverse_transform().
- Parameters
data (numpy.ndarray) – The data where the Jacobian is to be computed.
- Returns
The Jacobian matrix.
- Return type
- duplicate()¶
Duplicate the current object.
- Returns
A deepcopy of the current instance.
- Return type
- fit(data, *args)¶
Fit the transformer to the data.
- Parameters
data (numpy.ndarray) – The data to be fitted.
- Return type
NoReturn
- fit_transform(data, *args)¶
Fit the transformer to the data and transform the data.
- Parameters
data (numpy.ndarray) – The data to be transformed.
- Returns
The transformed data.
- Return type
- inverse_transform(data)[source]¶
Perform an inverse transform on the data.
- Parameters
data (numpy.ndarray) – The data to be inverse transformed.
- Returns
The inverse transformed data.
- Return type
- transform(data)[source]¶
Transform the data.
- Parameters
data (numpy.ndarray) – The data to be transformed.
- Returns
The transformed data.
- Return type
- CROSSED = False¶
- property components: numpy.ndarray¶
The principal components.