bigframes.ml.decomposition.PCA.explained_variance_ratio_#
- property PCA.explained_variance_ratio_: DataFrame#
Percentage 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_ratio: the total variance is the sum of variances, also known as eigenvalues, of all of the individual principal components. The explained variance ratio by a principal component is the ratio between the variance, also known as eigenvalue, of that principal component and the total variance.
- Return type: