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Davis King 2013-04-09 17:45:42 -04:00
parent bbefbc17b1
commit fc6d6744d8
1 changed files with 12 additions and 8 deletions
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20
examples/svm_rank_ex.cpp
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@ -84,12 +84,14 @@ int main()
*/
// If we want an overall measure of ranking accuracy, we can find out
// how often a non-relevant vector was ranked ahead of a relevant
// vector using test_ranking_function(). In this case, it returns a
// value of 1, indicating that the rank function outputs a perfect
// ranking.
cout << "accuracy: " << test_ranking_function(rank, data) << endl;
// If we want an overall measure of ranking accuracy we can compute the
// ordering accuracy and mean average precision values by calling
// test_ranking_function(). In this case, the ordering accuracy tells
// us how often a non-relevant vector was ranked ahead of a relevant
// vector. This function will return a 1 by 2 matrix containing these
// measures. In this case, it returns 1 1 indicating that the rank
// function outputs a perfect ranking.
cout << "testing (ordering accuracy, mean average precision): " << test_ranking_function(rank, data) << endl;
// We can also see the ranking weights:
cout << "learned ranking weights: \n" << rank.basis_vectors(0) << endl;
@ -135,8 +137,10 @@ int main()
// splitting the queries up into folds. That is, it lets the trainer
// train on a subset of ranking_pair instances and tests on the rest.
// It does this over 4 different splits and returns the overall ranking
// accuracy based on the held out data.
cout << "cv-accuracy: "<< cross_validate_ranking_trainer(trainer, queries, 4) << endl;
// accuracy based on the held out data. Just like test_ranking_function(),
// it reports both the ordering accuracy and mean average precision.
cout << "cross-validation (ordering accuracy, mean average precision): "
<< cross_validate_ranking_trainer(trainer, queries, 4) << endl;
}
catch (std::exception& e)