def test_BinaryFeatures_SkipNormalization(self):
x = [[0, 0, 5], [1, 1, 6], [1, -1, 7], [0, 0, 8]]
x = np.array(x, dtype=np.float)
meanX, stdX = meanstdX(x)
self.assertEqual(meanX[0], 0)
self.assertEqual(meanX[1], 0)
self.assertNotEqual(meanX[2], 0)
self.assertEqual(stdX[0], 1)
self.assertEqual(stdX[1], 1)
self.assertNotEqual(stdX[2], 1)
def test_BinaryFeatures_SkipNormalization(self):
x = [[0, 0, 5], [1, 1, 6], [1, -1, 7], [0, 0, 8]]
x = np.array(x, dtype=np.float)
meanX, stdX = meanstdX(x)
self.assertEqual(meanX[0], 0)
self.assertEqual(meanX[1], 0)
self.assertNotEqual(meanX[2], 0)
self.assertEqual(stdX[0], 1)
self.assertEqual(stdX[1], 1)
self.assertNotEqual(stdX[2], 1)
def test_meanstdX_GetMeanStd(self):
x = [[1, 2], [3, 4], [5, 6]]
m, s = meanstdX(x)
x1 = np.array(x)
self.assertTrue(np.allclose(m, x1.mean(0)))
self.assertTrue(np.allclose(s, x1.std(0)))
def test_meanstdX_GetMeanStd(self):
x = [[1, 2], [3, 4], [5, 6]]
m, s = meanstdX(x)
x1 = np.array(x)
self.assertTrue(np.allclose(m, x1.mean(0)))
self.assertTrue(np.allclose(s, x1.std(0)))