def test_compute_fmap(self):
np.random.seed(42)
fm = FeatureMap(distr='laplace',
bias=np.ones((1, 3)),
input_dim=2,
n_features=3,
params=[0.8, 2.3],
sigma_f=0.9)
inputs = np.random.uniform(size=(5, 2))
fmap = fm.compute_fmap(inputs=inputs)
true_value = np.array([[0.70465845, 0.44404558, 0.55780791],
[0.87857849, -0.95074097, 0.54437667],
[0.45910944, 0.24313274, 0.89833969],
[0.84035852, 1.02257209, 0.95970943],
[-0.62313605, -0.58107188, 0.57497268]])
np.testing.assert_array_almost_equal(true_value, fmap)
def test_compute_fmap(self):
np.random.seed(42)
fm = FeatureMap(distr='laplace',
bias=np.ones((1, 3)),
input_dim=2,
n_features=3,
params=[0.8, 2.3],
sigma_f=0.9)
inputs = np.random.uniform(size=(5, 2))
fmap = fm.compute_fmap(inputs=inputs)
true_value = np.array([[-0.42149623, 0.57314349, 0.73325259],
[0.65251962, 0.2455743, 0.73290642],
[0.42591728, 0.37857758, 0.53838879],
[-0.6921959, 0.65932346, 0.71051842],
[0.3605913, 0.37159967, 0.73375339]])
np.testing.assert_array_almost_equal(true_value, fmap)