From db3f3c17ae1c16e3211a7319877560e41d61912d Mon Sep 17 00:00:00 2001
From: Davis King <davis@dlib.net>
Date: Sat, 10 May 2008 18:53:10 +0000
Subject: [PATCH] Added some clarifying comments to the svm example and a
version number to the about window in the bayes net gui.
--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402223
---
examples/bayes_net_gui_ex.cpp | 1 +
examples/svm_ex.cpp | 1 +
2 files changed, 2 insertions(+)
diff --git a/examples/bayes_net_gui_ex.cpp b/examples/bayes_net_gui_ex.cpp
index b4cc9e4d..70aefc30 100644
--- a/examples/bayes_net_gui_ex.cpp
+++ b/examples/bayes_net_gui_ex.cpp
@@ -626,6 +626,7 @@ on_menu_help_about (
{
message_box("About","This application is the GUI front end to the dlib C++ Library's\n"
"Bayesian Network inference utilities\n\n"
+ "Version 1.1\n\n"
"See http://dclib.sourceforge.net for updates");
}
diff --git a/examples/svm_ex.cpp b/examples/svm_ex.cpp
index 64efb875..9bb82941 100644
--- a/examples/svm_ex.cpp
+++ b/examples/svm_ex.cpp
@@ -144,6 +144,7 @@ int main()
// We can also train a decision function that reports a well conditioned probability instead of just a number
// > 0 for the +1 class and < 0 for the -1 class. An example of doing that follows:
probabilistic_decision_function<kernel_type> learned_probabilistic_decision_function = svm_nu_train_prob(samples, labels, kernel_type(0.1), 0.1, 3);
+ // Now we have a function that returns the probability that a given sample is of the +1 class.
// print out the number of support vectors in the resulting decision function. (it should be the same as in the one above)
cout << "\nnumber of support vectors in our learned_probabilistic_decision_function is "
--
2.18.0