def METHOD_NAME(self, X):
    """Predict class probabilities of X from the net input.
    Parameters
    ----------
    X : {array-like, sparse matrix}, shape = [n_samples, n_features]
        Training vectors, where n_samples is the number of samples and
        n_features is the number of features.
    Returns
    ----------
    Class probabilties : array-like, shape= [n_samples, n_classes]
    """
    return self._forward(X)