def test_ClassificationStrings_CreateTargets(self):
y = ['cat', 'cat', 'dog', 'mouse']
cdict = c_dictT(y)
y1 = np.vstack(batchT(y, c_dict=cdict)[0])
self.assertTrue(y1.shape[0] == 4)
self.assertTrue(y1.shape[1] == 3)
self.assertTrue(np.all(y1.sum(1) == 1))
def test_ClassificationY_CreateTargets(self):
y = np.array([1, 1, 2, 3])
cdict = c_dictT(y)
y1 = np.vstack(batchT(y, c_dict=cdict)[0])
self.assertTrue(y1.shape[0] == 4)
self.assertTrue(y1.shape[1] == 3)
self.assertTrue(np.all(y1.sum(1) == 1))
def test_ClassificationStrings_CreateTargets(self):
y = ['cat', 'cat', 'dog', 'mouse']
cdict = c_dictT(y)
y1 = np.vstack(batchT(y, c_dict=cdict)[0])
self.assertTrue(y1.shape[0] == 4)
self.assertTrue(y1.shape[1] == 3)
self.assertTrue(np.all(y1.sum(1) == 1))
def test_ClassificationY_CreateTargets(self):
y = np.array([1, 1, 2, 3])
cdict = c_dictT(y)
y1 = np.vstack(batchT(y, c_dict=cdict)[0])
self.assertTrue(y1.shape[0] == 4)
self.assertTrue(y1.shape[1] == 3)
self.assertTrue(np.all(y1.sum(1) == 1))
def test_batchT_NumberOfClassificationTargets(self):
y = ['cat', 'cat', 'dog', 'mouse']
cdict = c_dictT(y)
_, ctargets = batchT(y, c_dict=cdict)
self.assertEqual(3, ctargets)
def test_batchT_NumberOfClassificationTargets(self):
y = ['cat', 'cat', 'dog', 'mouse']
cdict = c_dictT(y)
_, ctargets = batchT(y, c_dict=cdict)
self.assertEqual(3, ctargets)
