DOC fix some docstring/parameter list mismatches

See scikit-learn#2062 for a list and a script to fetch them.

sklearn/cluster/k_means_.py

@@ -305,7 +305,7 @@ def _kmeans_single(X, n_clusters, max_iter=300, init='k-means++',
     X: array-like of floats, shape (n_samples, n_features)
         The observations to cluster.
 
-    k: int
+    n_clusters: int
         The number of clusters to form as well as the number of
         centroids to generate.
 

sklearn/pipeline.py

@@ -242,8 +242,9 @@ class FeatureUnion(BaseEstimator, TransformerMixin):
 
     Parameters
     ----------
-    transformers: list of (name, transformer)
-        List of transformer objects to be applied to the data.
+    transformer_list: list of (string, transformer) tuples
+        List of transformer objects to be applied to the data. The first
+        half of each tuple is the name of the transformer.
 
     n_jobs: int, optional
         Number of jobs to run in parallel (default 1).

sklearn/svm/base.py

@@ -653,10 +653,6 @@ def fit(self, X, y):
         y : array-like, shape = [n_samples]
             Target vector relative to X
 
-        class_weight : {dict, 'auto'}, optional
-            Weights associated with classes. If not given, all classes
-            are supposed to have weight one.
-
         Returns
         -------
         self : object