def test_evaluate_2(self):
kernel = LinearKernel(2)
assert kernel.evaluate(0) == 0
D = np.random.rand(10)
assert np.all(kernel.evaluate(D) == 2 * D)
D = np.random.rand(10, 2)
assert np.all(kernel.evaluate(D) == 2 * D)
def test_to_dict(self):
kernel = LinearKernel(1)
output_dict = kernel.to_dict()
assert "class" in output_dict
assert output_dict["class"] == "LinearKernel"
assert "param" in output_dict
assert output_dict["param"] == 1
def test_derivatives_2(self):
kernel = LinearKernel(2)
D = np.random.rand(10)
assert np.all(kernel.derivatives(D) == 2 * np.ones_like(D))
D = np.random.rand(10, 2)
assert np.all(kernel.derivatives(D) == 2 * np.ones_like(D))
def test_dmin(self):
kernel = LinearKernel(1)
assert kernel.dmin == 0
def test___init__default(self):
kernel = LinearKernel()
assert kernel._param == 1
def test___init__(self):
kernel = LinearKernel(param=2)
assert kernel._param == 2