def runTest(self): nn = MLP(*self.args) for layer in nn.layers: layer.b = util.uniform(layer.b.shape, 0.5) X_train = self.X_train y_train = self.y_train loss_before = nn.loss(X_train, y_train) nn.dump('test.npz') nn = MLP(*self.args) nn.load('test.npz') loss_after = nn.loss(X_train, y_train) np.testing.assert_almost_equal(loss_after, loss_before) print loss_before, loss_after