From: Chih-Jen Lin <cjlin@csie.ntu.edu.tw>
Date: Wed, 24 Oct 2018 10:52:49 +0000 (+0800)
Subject: in README use an example to explain that -C returns only the best
X-Git-Tag: v230~14
X-Git-Url: https://granicus.if.org/sourcecode?a=commitdiff_plain;h=a5beed291df6c45e6d20dcef91ee5045ede8dfe0;p=liblinear

in README use an example to explain that -C returns only the best
parameter rather than a model. Users must use the selected parameter
to train a model.
---

diff --git a/README b/README
index 287edb1..6aed924 100644
--- a/README
+++ b/README
@@ -259,10 +259,13 @@ Use a smaller stopping tolerance 0.001 than the default
 0.1 if you want more accurate solutions.
 
 > train -C data_file
+...
+Best C = 0.000488281  CV accuracy = 83.3333%
+> train -c 0.000488281 data_file 
 
-Conduct cross validation many times by L2-loss SVM
-and find the parameter C which achieves the best cross
-validation accuracy.
+Conduct cross validation many times by L2-loss SVM and find the
+parameter C which achieves the best cross validation accuracy. Then
+use the selected C to train the data for getting a model.
 
 > train -C -s 0 -v 3 -c 0.5 -e 0.0001 data_file