def test_cost_func_data4_3(self):
y = self.data4[:, -1:]
X = self.data4[:, :-1]
m, n = X.shape
intercept = ones((m, 1), dtype=float64)
X = append(intercept, X, axis=1)
theta = -0.1 * ones((n + 1, 1), dtype=float64)
assert_allclose(14.419,
cost_func(X, y, theta),
rtol=0,
atol=0.001,
equal_nan=False)
def test_cost_func_data3_3(self):
y = self.data3[:, -1:]
X = self.data3[:, :-1]
m, n = X.shape
intercept = ones((m, 1), dtype=float64)
X = append(intercept, X, axis=1)
theta = array([[-24], [0.2], [0.2]])
assert isclose(0.218,
cost_func(X, y, theta),
rtol=0,
atol=0.001,
equal_nan=False)
def test_cost_func_data4_2(self):
y = self.data4[:, -1:]
X = self.data4[:, :-1]
m, n = X.shape
intercept = ones((m, 1), dtype=float64)
X = append(intercept, X, axis=1)
theta = array([[-0.1], [0.4], [-0.4], [-0.4], [0.4], [-0.4], [0.4],
[-0.4], [-0.4]])
assert_allclose(40.216,
cost_func(X, y, theta),
rtol=0,
atol=0.001,
equal_nan=False)
def test_cost_func_data3_1(self):
y = self.data3[:, -1:]
X = self.data3[:, :-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 isclose(0.693,
cost_func(X, y, theta),
rtol=0,
atol=0.001,
equal_nan=False)
def J(theta):
return cost_func(X, y, theta)