Fixing docstrings to address docs build errors

Author: rvasav26

src/skmatter/decomposition/_pcovc.py

@@ -69,6 +69,7 @@ class PCovC(LinearClassifierMixin, _BasePCov):
     n_components : int, float or str, default=None
         Number of components to keep.
         if n_components is not set all components are kept::
+        
             n_components == min(n_samples, n_features)
 
     svd_solver : {'auto', 'full', 'arpack', 'randomized'}, default='auto'
@@ -161,7 +162,7 @@ class PCovC(LinearClassifierMixin, _BasePCov):
         the projector, or weights, from the input space :math:`\mathbf{X}`
         to the class confidence scores :math:`\mathbf{Z}`
 
-    ptz_ : ndarray of size :math: ``({n_{components}, })` or `({n_{components}, n_{classes}})`
+    ptz_ : ndarray of size :math: `({n_{components}, })` or `({n_{components}, n_{classes}})`
         the projector, or weights, from the latent-space projection
         :math:`\mathbf{T}` to the class confidence scores :math:`\mathbf{Z}`
 

src/skmatter/decomposition/_pcovr.py

@@ -15,6 +15,7 @@ class PCovR(RegressorMixin, MultiOutputMixin, _BasePCov):
 
     This projection is determined by the eigendecomposition of a modified gram
     matrix :math:`\mathbf{\tilde{K}}`
+
     .. math::
       \mathbf{\tilde{K}} = \alpha \mathbf{X} \mathbf{X}^T +
             (1 - \alpha) \mathbf{\hat{Y}}\mathbf{\hat{Y}}^T
@@ -60,6 +61,7 @@ class PCovR(RegressorMixin, MultiOutputMixin, _BasePCov):
     n_components : int, float or str, default=None
         Number of components to keep.
         if n_components is not set all components are kept::
+        
             n_components == min(n_samples, n_features)
 
     svd_solver : {'auto', 'full', 'arpack', 'randomized'}, default='auto'