bigframes.ml.decomposition.PCA.explained_variance_#
- property PCA.explained_variance_: DataFrame#
The amount of variance explained by each of the selected components.
- Returns:
- DataFrame containing following columns:
principal_component_id: An integer that identifies the principal component.
explained_variance: The factor by which the eigenvector is scaled. Eigenvalue and explained variance are the same concepts in PCA.
- Return type: