Merge branch 'main' into multioutput-pcovc

Author: cajchristian

src/skmatter/decomposition/_kernel_pcovc.py

@@ -103,6 +103,9 @@ class KernelPCovC(LinearClassifierMixin, _BaseKPCov):
     scale_z: bool, default=False
         Whether to scale Z prior to eigendecomposition.
 
+    scale_z: bool, default=False
+        Whether to scale Z prior to eigendecomposition.
+
     kernel : {"linear", "poly", "rbf", "sigmoid", "precomputed"} or callable, default="linear"
         Kernel.
 

src/skmatter/decomposition/_pcovc.py

@@ -141,6 +141,9 @@ class PCovC(LinearClassifierMixin, _BasePCov):
     scale_z: bool, default=False
         Whether to scale Z prior to eigendecomposition.
 
+    scale_z: bool, default=False
+        Whether to scale Z prior to eigendecomposition.
+
     iterated_power : int or 'auto', default='auto'
         Number of iterations for the power method computed by
         svd_solver == 'randomized'.
@@ -210,6 +213,9 @@ class PCovC(LinearClassifierMixin, _BasePCov):
     scale_z: bool
         Whether Z is being scaled prior to eigendecomposition
 
+    scale_z: bool
+        Whether Z is being scaled prior to eigendecomposition
+
     explained_variance_ : numpy.ndarray of shape (n_components,)
         The amount of variance explained by each of the selected components.
         Equal to n_components largest eigenvalues