From 6705d6ecde8e86d85f4cc47fe59e1b198288fd4a Mon Sep 17 00:00:00 2001
From: Gertjan van den Burg <gertjanvandenburg@gmail.com>
Date: Wed, 6 Mar 2019 22:31:36 -0500
Subject: Minor documentation fixes

---
 README.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'README.rst')

diff --git a/README.rst b/README.rst
index bf3c120..44c47a7 100644
--- a/README.rst
+++ b/README.rst
@@ -73,8 +73,8 @@ from Scikit-Learn as follows:
     >>> scaler = MaxAbsScaler().fit(X_train)
     >>> X_train, X_test = scaler.transform(X_train), scaler.transform(X_test)
 
-Note that we scale the data using the `maxabs_scale 
-<http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html>`_ 
+Note that we scale the data using the `MaxAbsScaler 
+<http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html>`_ 
 function. This scales the columns of the data matrix to ``[-1, 1]`` without 
 breaking sparsity. Scaling the dataset can have a significant effect on the 
 computation time of GenSVM and is `generally recommended for SVMs 
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