FIX: reflect SVC API change (eps -> tol) in doc/tutorial.rst

yarikoptic · yarikoptic · commit f7d531791939 · 2011-05-11T10:40:05.000-04:00
diff --git a/doc/tutorial.rst b/doc/tutorial.rst
@@ -151,7 +151,7 @@ set, let us use all the images of our dataset apart from the last
 one:
 
 >>> clf.fit(digits.data[:-1], digits.target[:-1])
-SVC(kernel='rbf', C=1.0, probability=False, degree=3, coef0=0.0, eps=0.001,
+SVC(kernel='rbf', C=1.0, probability=False, degree=3, coef0=0.0, tol=0.001,
   cache_size=100.0, shrinking=True, gamma=0.000556792873051)
 
 Now you can predict new values, in particular, we can ask to the
@@ -186,7 +186,7 @@ persistence model, namely `pickle <http://docs.python.org/library/pickle.html>`_
 >>> iris = datasets.load_iris()
 >>> X, y = iris.data, iris.target
 >>> clf.fit(X, y)
-SVC(kernel='rbf', C=1.0, probability=False, degree=3, coef0=0.0, eps=0.001,
+SVC(kernel='rbf', C=1.0, probability=False, degree=3, coef0=0.0, tol=0.001,
   cache_size=100.0, shrinking=True, gamma=0.00666666666667)
 >>> import pickle
 >>> s = pickle.dumps(clf)
