src.report.pca_projection_report

Classes

PCAProjectionReport(pca_names, ...)

class src.report.pca_projection_report.PCAProjectionReport(pca_names, expl_var_ratio, in_dim, **kwargs)
Author:

Alberto M. Esmoris Pena

Class to handle reports related to PCA projection. See Report. See also VarianceSelector.

Variables:

  • pca_names (list) – The names of the PCA-derived features.

  • expl_var_ratio (np.ndarray) – The vector which components represent the explained variance ratio.

  • in_dim (int) – The input dimensionality, i.e., the number of features before the PCA projection.

Parameters:

kwargs – The key-word arguments.

__init__(pca_names, expl_var_ratio, in_dim, **kwargs)

Initialize an instance of PCAProjectionReport.

Parameters:

  • pca_names (list) – The names of the PCA-derived features.

  • expl_var_ratio (np.ndarray) – The vector which components represent the explained variance ratio.

  • in_dim (int) – The input dimensionality, i.e., the number of features before the PCA projection.

  • kwargs – The key-word arguments.