Fix mistake and docstring cosmits in SVC.

scikit-learn · Aug 28, 2011 · a019ad7 · a019ad7
1 parent 60b2299
commit a019ad7
Showing 1 changed file with 9 additions and 9 deletions.
diff --git a/scikits/learn/svm/classes.py b/scikits/learn/svm/classes.py
@@ -86,24 +86,24 @@ class SVC(BaseLibSVM, ClassifierMixin):
     Parameters
     ----------
     C : float, optional (default=1.0)
-        penalty parameter C of the error term.
+        Penalty parameter C of the error term.
 
     kernel : string, optional (default='rbf')
          Specifies the kernel type to be used in the algorithm.
-         one of 'linear', 'poly', 'rbf', 'sigmoid', 'precomputed'.
+         It must be one of 'linear', 'poly', 'rbf', 'sigmoid', 'precomputed'.
-         If none is given 'rbf' will be used.
+         If none is given, 'rbf' will be used.
 
     degree : int, optional (default=3)
-        degree of kernel function
+        Degree of kernel function.
-        is significant only in poly, rbf, sigmoid
+        It is significant only in 'poly' and 'sigmoid'.
 
     gamma : float, optional (default=0.0)
-        kernel coefficient for rbf and poly, if gamma is 0.0 then 1/n_features
+        Kernel coefficient for 'rbf' and 'poly'. 
-        will be taken.
+        If gamma is 0.0 then 1/n_features will be used instead.
 
     coef0 : float, optional (default=0.0)
-        independent term in kernel function. It is only significant
+        Independent term in kernel function. 
-        in poly/sigmoid.
+        It is only significant in 'poly' and 'sigmoid'.
 
     probability: boolean, optional (default=False)
         Whether to enable probability estimates. This must be enabled prior