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Updated example's reported output.
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@ -68,10 +68,10 @@ int main()
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// The output is as follows:
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//using gamma of 0.075
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// 0.239389 0.239388
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// 0.998334 0.998363
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// 0.239389 0.239389
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// 0.998334 0.998362
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// -0.189201 -0.189254
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// -0.191785 -0.186669
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// -0.191785 -0.186618
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// The first column is the true value of the sinc function and the second
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// column is the output from the krr estimate.
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@ -84,7 +84,7 @@ int main()
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trainer.train(samples, labels, loo_error);
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cout << "mean squared LOO error: " << loo_error << endl;
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// Which outputs the following:
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// mean squared LOO error: 8.29813e-07
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// mean squared LOO error: 8.29563e-07
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