Commit 6a63ad16 authored by Davis King's avatar Davis King

Improved comments.

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extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403236
parent ecfa5a8d
...@@ -4,17 +4,17 @@ ...@@ -4,17 +4,17 @@
This is an example illustrating the use of the feature ranking This is an example illustrating the use of the feature ranking
tools from the dlib C++ Library. tools from the dlib C++ Library.
This example creates a simple set of data and then shows This example creates a simple set of data and then shows you how
you how to use the feature ranking function to find a good to use feature ranking to find a good set of features (where
set of features (where "good" means the feature set will probably "good" means the feature set will probably work well with a
work well with a classification algorithm). classification algorithm).
The data used in this example will be 4 dimensional data and will The data used in this example will be 4 dimensional data and will
come from a distribution where points with a distance less than 10 come from a distribution where points with a distance less than 10
from the origin are labeled +1 and all other points are labeled from the origin are labeled +1 and all other points are labeled
as -1. Note that this data is conceptually 2 dimensional but we as -1. Note that this data is conceptually 2 dimensional but we
will add two extra features for the purpose of showing what will add two extra features for the purpose of showing what
the feature ranking function does. feature ranking does.
*/ */
...@@ -87,7 +87,7 @@ int main() ...@@ -87,7 +87,7 @@ int main()
// This is another thing that is often good to do from a numerical stability point of view. // This is another thing that is often good to do from a numerical stability point of view.
// However, in our case it doesn't really matter. // However, in our case it doesn't matter. It's just here to show you how to do it.
randomize_samples(samples,labels); randomize_samples(samples,labels);
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