def test_minibatch_gd(self):
        x_train, _, y_train, _ = simple_classification()
        compare_networks(
           # Test classes
           algorithms.GradientDescent,
           partial(algorithms.MinibatchGradientDescent, batch_size=1),
           # Test data
           (x_train, y_train),
           # Network configurations
           connection=(layers.Tanh(20) > layers.Output(1) > layers.Tanh(10)),
           step=0.1,
           shuffle_data=True,
           verbose=False,
           # Test configurations
           epochs=40,
           show_comparison_plot=False
        )
dataset/ETHPy150Open itdxer/neupy/tests/algorithms/gd/test_gd.py/GradientDescentTestCase.test_minibatch_gd/swapped operands of `>`