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Fixed some typos in the spec files.

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extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402963
This commit is contained in:
Davis King 2009-03-20 18:48:42 +00:00
parent 8665122804
commit db16687922
2 changed files with 3 additions and 3 deletions
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4
dlib/svm/svm_abstract.h
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@ -325,7 +325,7 @@ namespace dlib
given binary classification problem for the given number of folds.
Each fold is tested using the output of the trainer and the average
classification accuracy from all folds is returned.
- The accuracy is returned in a column vector, let us call it R. Both
- The accuracy is returned in a row vector, let us call it R. Both
quantities in R are numbers between 0 and 1 which represent the fraction
of examples correctly classified. R(0) is the fraction of +1 examples
correctly classified and R(1) is the fraction of -1 examples correctly
@ -355,7 +355,7 @@ namespace dlib
- dec_funct_type == some kind of decision function object (e.g. decision_function)
ensures
- tests the given decision function by calling on the x_test and y_test samples.
- The test accuracy is returned in a column vector, let us call it R. Both
- The test accuracy is returned in a row vector, let us call it R. Both
quantities in R are numbers between 0 and 1 which represent the fraction
of examples correctly classified. R(0) is the fraction of +1 examples
correctly classified and R(1) is the fraction of -1 examples correctly

2
dlib/svm/svm_threaded_abstract.h
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@ -37,7 +37,7 @@ namespace dlib
Each fold is tested using the output of the trainer and the average
classification accuracy from all folds is returned.
- uses num_threads threads of execution in doing the cross validation.
- The accuracy is returned in a column vector, let us call it R. Both
- The accuracy is returned in a row vector, let us call it R. Both
quantities in R are numbers between 0 and 1 which represent the fraction
of examples correctly classified. R(0) is the fraction of +1 examples
correctly classified and R(1) is the fraction of -1 examples correctly