

def conditional_mean(self, augmented_data):
    '\n        Compute the conditional mean \\psi given \\omega\n        :param augmented_data:\n        :return:\n        '
    cm = (cm['kappa'] / augmented_data['omega'])
    cm[(~ np.isfinite(cm))] = 0
    cm -= self.mu[None, :]
    return cm

dataset/ETHPy150Open HIPS/pgmult/pgmult/distributions.py PGMultinomialRegression.conditional_mean/VarMisuse@17/57 `augmented_data`->`cm`