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Updated same so it compiles with the current version of the krr_trainer.
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@ -184,11 +184,12 @@ int main()
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// tell the trainer the parameters we want to use
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trainer.set_kernel(kernel_type(sigma));
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double loo_error;
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trainer.train(samples, labels, loo_error);
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std::vector<double> loo_values;
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trainer.train(samples, labels, loo_values);
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// Print sigma and the fraction of samples misclassified during LOO cross-validation.
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cout << "sigma: " << sigma << " LOO error: " << loo_error << endl;
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// Print sigma and the fraction of samples correctly classified during LOO cross-validation.
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const double classification_accuracy = mean_sign_agreement(labels, loo_values);
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cout << "sigma: " << sigma << " LOO accuracy: " << classification_accuracy << endl;
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}
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