pydoc validation

KUNAL.MANDALYA · KUNAL.MANDALYA · commit 1599beea931a · 2021-10-21T21:28:52.000+05:30
diff --git a/sklearn/base.py b/sklearn/base.py
@@ -758,7 +758,6 @@ def get_indices(self, i):
             Indices of rows in the dataset that belong to the bicluster.
         col_ind : ndarray, dtype=np.intp
             Indices of columns in the dataset that belong to the bicluster.
-
         """
         rows = self.rows_[i]
         columns = self.columns_[i]
diff --git a/sklearn/cluster/_bicluster.py b/sklearn/cluster/_bicluster.py
@@ -290,18 +290,18 @@ class SpectralCoclustering(BaseSpectral):
 
         .. versionadded:: 1.0
 
+    See Also
+    --------
+    sklearn.cluster.SpectralClustering : Apply clustering to a projection of the
+        normalized Laplacian.
+
     References
     ----------
 
     * Dhillon, Inderjit S, 2001. `Co-clustering documents and words using
       bipartite spectral graph partitioning
       <http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.3011>`__.
 
-    See Also
-    --------
-    sklearn.cluster.SpectralClustering : Apply clustering to a projection of the
-        normalized Laplacian.
-
     Examples
     --------
     >>> from sklearn.cluster import SpectralCoclustering
@@ -448,17 +448,17 @@ class SpectralBiclustering(BaseSpectral):
 
         .. versionadded:: 1.0
 
+    See Also
+    --------
+    sklearn.cluster.SpectralClustering : Apply clustering to a projection of the
+        normalized Laplacian.
+
     References
     ----------
     * Kluger, Yuval, et. al., 2003. `Spectral biclustering of microarray
       data: coclustering genes and conditions
       <http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.1608>`__.
 
-    See Also
-    --------
-    sklearn.cluster.SpectralClustering : Apply clustering to a projection of the
-        normalized Laplacian.
-
     Examples
     --------
     >>> from sklearn.cluster import SpectralBiclustering
