Method train_batch

mla/neuralnet/optimizers.py:60–63

(self, network, X, y)

        return epoch_loss

    def train_batch(self, network, X, y):
        loss = np.mean(network.update(X, y))
        self.update(network)
        return loss

    def setup(self, network):
        """Creates additional variables.