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Made comments more clear.
--HG-- extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403567
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@ -77,16 +77,16 @@ class test_function
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In this example, our test_function object contains a column_vector
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as its state and it computes the mean squared error between this
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stored column_vector and the arguments to its operator() function.
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This is a very simple function. However, in general you could compute
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This is a very simple function, however, in general you could compute
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any function you wanted here. An example of a typical use would be
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to find the parameters to some regression function that minimized
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to find the parameters of some regression function that minimized
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the mean squared error on a set of data. In this case the arguments
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to the operator() function would be the parameters of your regression
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function and you would use those parameters to loop over all your data
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samples, compute the output of the regression function given those
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parameters, and finally return a measure of the error. The dlib
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optimization functions would then be used to find the parameters that
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minimized the error.
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function. You would loop over all your data samples and compute the output
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of the regression function for each data sample given the parameters and
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return a measure of the total error. The dlib optimization functions
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could then be used to find the parameters that minimized the error.
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*/
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public:
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