def test_discrete_hopfield_async(self):
data = np.concatenate([zero, one, two], axis=0)
data_before = data.copy()
dhnet = algorithms.DiscreteHopfieldNetwork(mode="async", n_times=1000)
dhnet.train(data)
half_zero_before = half_zero.copy()
np.testing.assert_array_almost_equal(zero, dhnet.predict(half_zero))
np.testing.assert_array_almost_equal(one, dhnet.predict(half_one))
np.testing.assert_array_almost_equal(two, dhnet.predict(half_two))
multiple_outputs = np.vstack([zero, one, two])
multiple_inputs = np.vstack([half_zero, half_one, half_two])
np.testing.assert_array_almost_equal(multiple_outputs, dhnet.predict(multiple_inputs))
np.testing.assert_array_equal(data_before, data)
np.testing.assert_array_equal(half_zero, half_zero_before)
def test_discrete_hopfield_sync(self):
data = np.concatenate([zero, one, two], axis=0)
data_before = data.copy()
dhnet = algorithms.DiscreteHopfieldNetwork(mode="sync")
dhnet.train(data)
half_zero_before = half_zero.copy()
np.testing.assert_array_almost_equal(zero, dhnet.predict(half_zero))
np.testing.assert_array_almost_equal(two, dhnet.predict(half_two))
# Test predicition for the 1d array
np.testing.assert_array_almost_equal(one, dhnet.predict(half_one.ravel()))
multiple_inputs = np.vstack([zero, one, two])
np.testing.assert_array_almost_equal(multiple_inputs, dhnet.predict(multiple_inputs))
np.testing.assert_array_equal(data_before, data)
np.testing.assert_array_equal(half_zero, half_zero_before)
def test_discrete_hopfield_async(self):
data = np.concatenate([zero, one, two], axis=0)
data_before = data.copy()
dhnet = algorithms.DiscreteHopfieldNetwork(mode='async', n_times=1000)
dhnet.train(data)
half_zero_before = half_zero.copy()
np.testing.assert_array_almost_equal(zero, dhnet.predict(half_zero))
np.testing.assert_array_almost_equal(one, dhnet.predict(half_one))
np.testing.assert_array_almost_equal(two, dhnet.predict(half_two))
multiple_outputs = np.vstack([zero, one, two])
multiple_inputs = np.vstack([half_zero, half_one, half_two])
np.testing.assert_array_almost_equal(
multiple_outputs,
dhnet.predict(multiple_inputs),
)
np.testing.assert_array_equal(data_before, data)
np.testing.assert_array_equal(half_zero, half_zero_before)
def test_discrete_hopfield_sync(self):
data = np.concatenate([zero, one, two], axis=0)
data_before = data.copy()
dhnet = algorithms.DiscreteHopfieldNetwork(mode='sync')
dhnet.train(data)
half_zero_before = half_zero.copy()
np.testing.assert_array_almost_equal(zero, dhnet.predict(half_zero))
np.testing.assert_array_almost_equal(two, dhnet.predict(half_two))
# Test predicition for the 1d array
np.testing.assert_array_almost_equal(one,
dhnet.predict(half_one.ravel()))
multiple_inputs = np.vstack([zero, one, two])
np.testing.assert_array_almost_equal(multiple_inputs,
dhnet.predict(multiple_inputs))
np.testing.assert_array_equal(data_before, data)
np.testing.assert_array_equal(half_zero, half_zero_before)
