fix docs and doctests for KernelPCA

yanlend · yanlend · commit fc04688fbf90 · 2015-10-20T08:37:15.000+02:00
diff --git a/doc/modules/pipeline.rst b/doc/modules/pipeline.rst
@@ -156,7 +156,7 @@ and ``value`` is an estimator object::
         n_components=None, whiten=False)), ('kernel_pca', KernelPCA(alpha=1.0,
         coef0=1, degree=3, eigen_solver='auto', fit_inverse_transform=False,
         gamma=None, kernel='linear', kernel_params=None, max_iter=None,
-        n_components=None, remove_zero_eig=False, tol=0))],
+        n_components=None, random_state=None, remove_zero_eig=False, tol=0))],
         transformer_weights=None)
 
 Like pipelines, feature unions have a shorthand constructor called
diff --git a/sklearn/decomposition/kernel_pca.py b/sklearn/decomposition/kernel_pca.py
@@ -76,6 +76,10 @@ class KernelPCA(BaseEstimator, TransformerMixin):
         When n_components is None, this parameter is ignored and components
         with zero eigenvalues are removed regardless.
 
+    random_state : int seed, RandomState instance, or None, default : None
+        A pseudo random number generator used for the initialization of the
+        residuals when eigen_solver == 'arpack'.
+
     Attributes
     ----------
 
