def test_OneDimensionalX_ReshapeAddBias(self):
x1 = [1, 2, 3]
x2 = np.array([[1, 1], [2, 1], [3, 1]])
x1p = np.vstack(batchX(x1)[0])
self.assertEquals(x2.shape, x1p.shape)
self.assertTrue(np.allclose(x2, x1p))
def test_InputTextCSV_Loads(self):
d = os.path.join(os.path.dirname(__file__), "../datasets/Unittest-Iris")
fx1 = os.path.join(d, "iris_data.txt")
fx2 = os.path.join(d, "iris_data_comma.txt")
x1 = np.vstack(batchX(fx1)[0])
x2 = np.vstack(batchX(fx2, delimiter=",")[0])
self.assertTrue(np.allclose(x1, x2))
def test_SetBatch_CorrectChunkSize(self):
x = np.random.rand(10)
x1 = batchX(x, batch=7)[0]
x2 = np.hstack((x.reshape(-1, 1), np.ones((10, 1))))
self.assertTrue(np.allclose(x2[:7], x1.next()))
self.assertTrue(np.allclose(x2[7:], x1.next()))
def test_InputTextCSV_Loads(self):
d = os.path.join(os.path.dirname(__file__),
"../datasets/Unittest-Iris")
fx1 = os.path.join(d, "iris_data.txt")
fx2 = os.path.join(d, "iris_data_comma.txt")
x1 = np.vstack(batchX(fx1)[0])
x2 = np.vstack(batchX(fx2, delimiter=",")[0])
self.assertTrue(np.allclose(x1, x2))
def test_batchX_GetNumberOfInputs(self):
x = [[1, 2], [3, 4], [5, 6]]
_, inputs, _ = batchX(x)
self.assertEqual(2, inputs)
def test_SetBatch_CorrectChunkSize(self):
x = np.random.rand(10)
x1 = batchX(x, batch=7)[0]
x2 = np.hstack((x.reshape(-1, 1), np.ones((10, 1))))
self.assertTrue(np.allclose(x2[:7], x1.next()))
self.assertTrue(np.allclose(x2[7:], x1.next()))
def test_OneDimensionalX_ReshapeAddBias(self):
x1 = [1, 2, 3]
x2 = np.array([[1, 1], [2, 1], [3, 1]])
x1p = np.vstack(batchX(x1)[0])
self.assertEquals(x2.shape, x1p.shape)
self.assertTrue(np.allclose(x2, x1p))
def test_batchX_GetNumberOfInputs(self):
x = [[1, 2], [3, 4], [5, 6]]
_, inputs, _ = batchX(x)
self.assertEqual(2, inputs)
