Fixes failing import statements due to kernels restructuring

SURGroup · Mar 7, 2023 · 1080c15 · 1080c15
1 parent 73b258c
commit 1080c15
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Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/src/UQpy/dimension_reduction/diffusion_maps/DiffusionMaps.py b/src/UQpy/dimension_reduction/diffusion_maps/DiffusionMaps.py
@@ -68,7 +68,7 @@ def __init__(
         if kernel_matrix is not None:
             self.kernel_matrix = kernel_matrix
         elif data is not None and kernel is not None:
-            kernel.calculate_kernel_matrix(points=data)
+            kernel.calculate_kernel_matrix(x=data, s=data)
             self.kernel_matrix = kernel.kernel_matrix
         else:
             raise ValueError("Either `kernel_matrix` or both `data` and `kernel` must be provided")

diff --git a/tests/unit_tests/dimension_reduction/test_dmaps.py b/tests/unit_tests/dimension_reduction/test_dmaps.py
@@ -21,7 +21,7 @@ def test_dmaps_swiss_roll():
     Y0 = 1. / 6 * (phi + sigma * xi) * np.cos(phi)
 
     swiss_roll = np.array([X0, Y0, Z0]).transpose()
-    dmaps = DiffusionMaps(data=swiss_roll, kernel=GaussianKernel(epsilon=0.5),
+    dmaps = DiffusionMaps(data=swiss_roll, kernel=GaussianKernel(kernel_parameter=0.5),
                           alpha=0.5, n_eigenvectors=3, is_sparse=True, n_neighbors=100)
 
     evals = dmaps.eigenvalues
@@ -54,7 +54,7 @@ def test_dmaps_circular():
     X = np.array([x, y, z]).transpose()
 
     dmaps = DiffusionMaps(data=X, alpha=1, n_eigenvectors=3,
-                          kernel=GaussianKernel(epsilon=0.3))
+                          kernel=GaussianKernel(kernel_parameter=0.3))
 
     evals = dmaps.eigenvalues
     assert np.round(evals[0], 5) == 1.0