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Fixed grammar in comments.

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This commit is contained in:
Davis King 2011-06-05 10:26:36 -04:00
parent f4eab393a9
commit 5826b562e2
1 changed files with 3 additions and 3 deletions
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6
examples/using_custom_kernels_ex.cpp
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@ -1,7 +1,7 @@
// The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt
/*
This is an example showing how to defined custom kernel functions for use with
This is an example showing how to define custom kernel functions for use with
the machine learning tools in the dlib C++ Library.
This example assumes you are somewhat familiar with the machine learning
@ -80,7 +80,7 @@ struct ukf_kernel
/*
Here we define serialize() and deserialize() functions for our new kernel. Defining
these function is optional. However, if you don't define them you won't be able
these functions is optional. However, if you don't define them you won't be able
to save your learned decision_function objects to disk.
*/
@ -200,7 +200,7 @@ int main()
// the results are similar. If they are very different then you probably made a
// mistake. So here we compare the results at a test point.
cout << "\nThese vectors should match, if they don't then we coded the kernel_derivative wrong!" << endl;
cout << "approximate derivative: \n" << derivative(kern)(samples[0],samples[100]) << endl;
cout << "approximate derivative: \n" << derivative(kern)(samples[0],samples[100]) << endl;
cout << "exact derivative: \n" << kernel_derivative<kernel_type>(kern)(samples[0],samples[100]) << endl;
}