bpca._utils.compute_variance_explained

bpca._utils.compute_variance_explained#

bpca._utils.compute_variance_explained(X, usage, loadings)#

Compute variance explained by each component.

Uses leave-one-out contributions normalized to sum to total R². This handles non-orthogonal components correctly.

Parameters:

  • X (ndarray) – Original data matrix (n_obs, n_var)

  • usage (ndarray) – Score matrix (n_obs, n_components)

  • loadings (ndarray) – Loading matrix (n_components, n_var)

Return type:

ndarray

Returns:

np.ndarray Variance explained per component

Raises:

UserWarning – If component contributions sum to zero.

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