def test_simple_som(self):
colors = np.array([[0., 0., 0.], [0., 0., 1.], [0., 1., 0.],
[1., 0., 0.], [0., 1., 1.], [1., 0., 1.],
[1., 1., 0.], [1., 1., 1.]])
distance_measures = (None, lambda x, y:(x ** 3 + y ** 3) ** (1. / 3))
for distance_measure in distance_measures:
# only small SOM for speed reasons
som = SimpleSOMMapper((10, 5), 200, learning_rate=0.05)
# no acces when nothing is there
self.assertRaises(RuntimeError, som._access_kohonen)
som.train(colors)
fmapped = som.forward(colors)
self.assertTrue(fmapped.shape == (8, 2))
# reverse mapping
rmapped = som.reverse(fmapped)
if cfg.getboolean('tests', 'labile', default='yes'):
# should approximately restore the input, but could fail
# with bad initialisation
self.assertTrue((np.round(rmapped) == colors).all())
def test_simple_som(self):
colors = np.array([[0., 0., 0.], [0., 0., 1.], [0., 1., 0.],
[1., 0., 0.], [0., 1., 1.], [1., 0., 1.],
[1., 1., 0.], [1., 1., 1.]])
distance_measures = (None, lambda x, y: (x**3 + y**3)**(1. / 3))
for distance_measure in distance_measures:
# only small SOM for speed reasons
som = SimpleSOMMapper((10, 5), 200, learning_rate=0.05)
# no acces when nothing is there
self.assertRaises(RuntimeError, som._access_kohonen)
som.train(colors)
fmapped = som.forward(colors)
self.assertTrue(fmapped.shape == (8, 2))
# reverse mapping
rmapped = som.reverse(fmapped)
if cfg.getboolean('tests', 'labile', default='yes'):
# should approximately restore the input, but could fail
# with bad initialisation
self.assertTrue((np.round(rmapped) == colors).all())
