def test_plot_eigenvalues_03(self):
np.random.seed(42)
gradients = np.random.uniform(-1, 1, 200).reshape(50, 1, 4)
inputs = np.random.uniform(-1, 1, 200).reshape(50, 4)
weights = np.ones((50, 1)) / 50
ss = KernelActiveSubspaces()
ss.compute(inputs=inputs,
gradients=gradients,
weights=weights,
method='exact',
nboot=49,
n_features=8,
feature_map=None)
with assert_plot_figures_added():
ss.plot_eigenvalues(n_evals=3, figsize=(7, 7), title='Eigenvalues')
def test_plot_eigenvalues_01(self):
ss = KernelActiveSubspaces(dim=2)
with self.assertRaises(TypeError):
ss.plot_eigenvalues(figsize=(7, 7), title='Eigenvalues')
