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Fixed typo in comment.
--HG-- extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403174
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@ -128,8 +128,8 @@ int main()
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// Now to begin with, you might want to compute the cross validation score of a trainer object
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// Now to begin with, you might want to compute the cross validation score of a trainer object
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// on your data. To do this you should use the batch_cached() function to convert the svm_pegasos object
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// on your data. To do this you should use the batch_cached() function to convert the svm_pegasos object
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// into a batch training object. Note that the second argument to batch() is the minimum
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// into a batch training object. Note that the second argument to batch_cached() is the minimum
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// learning rate the trainer object must report for the batch() function to consider training
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// learning rate the trainer object must report for the batch_cached() function to consider training
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// complete. So smaller values of this parameter cause training to take longer but may result
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// complete. So smaller values of this parameter cause training to take longer but may result
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// in a more accurate solution.
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// in a more accurate solution.
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// Here we perform 4-fold cross validation and print the results
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// Here we perform 4-fold cross validation and print the results
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