simpeg.utils.GaussianMixtureWithNonlinearRelationshipsWithPrior.score#
- GaussianMixtureWithNonlinearRelationshipsWithPrior.score(X, y=None)[source]#
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.
- y
None Placeholder variable
- X(
- Returns:
floatLog likelihood of the Gaussian mixture given X.