def test_grad_data2_2(self, data2):
y = data2[:, -1:]
X = data2[:, :-1]
m, n = X.shape
intercept = ones((m, 1), dtype=float64)
X = append(intercept, X, axis=1)
theta = ones((n + 1, 1), dtype=float64)
assert_allclose([[-338407.808], [-759579615.064], [-1113679.894]],
grad(X, y, theta),
rtol=0,
atol=0.001)
def test_grad_data2_3(self, data2):
y = data2[:, -1:]
X = data2[:, :-1]
m, n = X.shape
intercept = ones((m, 1), dtype=float64)
X = append(intercept, X, axis=1)
theta = array([[-25.3], [32], [7.8]])
assert_allclose([[-276391.445], [-616340858.434], [-906796.414]],
grad(X, y, theta),
rtol=0,
atol=0.001)
def test_grad_data2_1(self, data2):
y = data2[:, -1:]
X = data2[:, :-1]
m, n = X.shape
intercept = ones((m, 1), dtype=float64)
X = append(intercept, X, axis=1)
theta = zeros((n + 1, 1), dtype=float64)
assert_allclose([[-340412.659], [-764209128.191], [-1120367.702]],
grad(X, y, theta),
rtol=0,
atol=0.001)
def test_grad_data1_3(self, data1):
y = data1[:, -1:]
X = data1[:, :-1]
m, n = X.shape
intercept = ones((m, 1), dtype=float64)
X = append(intercept, X, axis=1)
theta = array([[-1], [2]])
assert_allclose([[9.480], [89.319]],
grad(X, y, theta),
rtol=0,
atol=0.001)
def test_grad_data1_2(self, data1):
y = data1[:, -1:]
X = data1[:, :-1]
m, n = X.shape
intercept = ones((m, 1), dtype=float64)
X = append(intercept, X, axis=1)
theta = ones((n + 1, 1), dtype=float64)
assert_allclose([[3.321], [24.235]],
grad(X, y, theta),
rtol=0,
atol=0.001)
def test_grad_data1_1(self, data1):
y = data1[:, -1:]
X = data1[:, :-1]
m, n = X.shape
intercept = ones((m, 1), dtype=float64)
X = append(intercept, X, axis=1)
theta = zeros((n + 1, 1), dtype=float64)
assert_allclose([[-5.839], [-65.329]],
grad(X, y, theta),
rtol=0,
atol=0.001)
def test_grad_data1_6(self, data1, err):
y = data1[:, -1:]
X = data1[:, :-1]
m, n = X.shape
intercept = ones((m, 1), dtype=float64)
X = append(intercept, X, axis=1)
theta = array([[3.46], [-2.76]])
def J(theta):
return cost_func(X, y, theta)
assert_allclose(grad(X, y, theta),
numerical_grad(J, theta, err),
rtol=0,
atol=0.001)
