cosmit

pprett · GaelVaroquaux · commit 94c7881c459f · 2012-10-06T15:47:38.000+02:00
diff --git a/sklearn/linear_model/stochastic_gradient.py b/sklearn/linear_model/stochastic_gradient.py
@@ -540,8 +540,9 @@ def decision_function(self, X):
         return self._decision_function(X)
 
     def _decision_function(self, X):
-        """predict decision function assuming that X is either sparse
-        matrix or array-like.
+        """Compute decision function values for each sample in X.
+
+        X is assumed to be either sparse matrix or array-like.
         """
         scores = safe_sparse_dot(X, self.coef_.T) + self.intercept_
         if self.classes_.shape[0] == 2:
