SimPEG.utils.GaussianMixtureWithNonlinearRelationshipsWithPrior.score

GaussianMixtureWithNonlinearRelationshipsWithPrior.score(X, y=None)

Compute the per-sample average log-likelihood

[modified from Scikit-Learn.mixture.gaussian_mixture] Compute the per-sample average log-likelihood of the given data X.

Parameters:

X(n_samples, n_dimensions) array_like

List of n_features-dimensional data points. Each row corresponds to a single data point.

yNone

Placeholder variable

Returns:

float

Log likelihood of the Gaussian mixture given X.