def _log_multivariate_normal_density_tied ( X , means , covars ) : cv = np . tile ( covars , ( means . shape [ 0 ] , 1 , 1 ) ) return _log_multivariate_normal_density_full ( X , means , cv )
logistic regression python skleran with categorical variables
Compute Gaussian log - density at X for a tied model .
def _log_multivariate_normal_density_tied(X, means, covars):
    """Compute Gaussian log-density at X for a tied model."""
    cv = np.tile(covars, (means.shape[0], 1, 1))
    return _log_multivariate_normal_density_full(X, means, cv)