def setUp(self):
self._sense_conf = cmacpy.SignalConfiguration(0., 12., 13)
self._sense_conf_2 = cmacpy.SignalConfiguration(0.1, 1., 10)
self._sense_conf_3 = cmacpy.SignalConfiguration(-1, 1., 2)
confs = []
confs.append(self._sense_conf)
confs.append(self._sense_conf_2)
confs.append(self._sense_conf_3)
self._cmacpy = cmacpy.CMAC(confs, 4)
def test_train_more_one_conf(self):
confs = []
confs.append(cmacpy.SignalConfiguration(-10., 10., 100))
confs.append(cmacpy.SignalConfiguration(-10., 10., 100))
_cmacpy = cmacpy.CMAC(confs, 4)
data_in = None
data_out = array([])
for i in range(100):
n1 = random.uniform(-100, 100)
n2 = random.uniform(-100, 100)
temp = array([[n1, n2]])
if data_in == None:
data_in = temp
else:
data_in = concatenate((data_in, temp))
data_out = concatenate(
(data_out, array([random.uniform(-100, 100)])))
data_out = reshape(data_out, (len(data_out), 1))
_train = cmacpy.Train(_cmacpy, data_in, data_out, 0.5, 10)
_train.train()
def generate_cmacpy(self):
x_axis = cmacpy.SignalConfiguration(-10, 10, 100, 'X axis')
y_axis = cmacpy.SignalConfiguration(-10, 10, 100, 'Y axis')
self._cmacpy = cmacpy.CMAC([x_axis, y_axis], 5)
def generate_cmacpy(self):
conf = cmacpy.SignalConfiguration(-m.pi, m.pi, 100,
'Sin function between -pi and pi')
ann = cmacpy.CMAC([conf], 2)
self._cmacpy = ann
def test_train_one_conf(self):
confs = []
confs.append(cmacpy.SignalConfiguration(-10., 10., 100))
ann = cmacpy.CMAC(confs, 4)
_train = cmacpy.Train(ann, np.random.uniform(-10, 10, 500),
np.random.uniform(0, 1000, 500), 0.5, 50)