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Minor update

This commit is contained in:
Davis King 2017-12-18 16:20:21 -05:00
parent 087c1f2e61
commit efd945618d
1 changed files with 2 additions and 2 deletions
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examples/model_selection_ex.cpp
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@ -122,7 +122,7 @@ int main() try
// And finally, we call this global optimizer that will search for the best parameters. // And finally, we call this global optimizer that will search for the best parameters.
// It will call cross_validation_score() 30 times with different settings and return // It will call cross_validation_score() 50 times with different settings and return
// the best parameter setting it finds. find_max_global() uses a global optimization // the best parameter setting it finds. find_max_global() uses a global optimization
// method based on a combination of non-parametric global function modeling and // method based on a combination of non-parametric global function modeling and
// quadratic trust region modeling to efficiently find a global maximizer. It usually // quadratic trust region modeling to efficiently find a global maximizer. It usually
@ -132,7 +132,7 @@ int main() try
auto result = find_max_global(cross_validation_score, auto result = find_max_global(cross_validation_score,
{1e-5, 1e-5, 1e-5}, // lower bound constraints on gamma, c1, and c2, respectively {1e-5, 1e-5, 1e-5}, // lower bound constraints on gamma, c1, and c2, respectively
{100, 1e6, 1e6}, // upper bound constraints on gamma, c1, and c2, respectively {100, 1e6, 1e6}, // upper bound constraints on gamma, c1, and c2, respectively
max_function_calls(30)); max_function_calls(50));
double best_gamma = result.x(0); double best_gamma = result.x(0);
double best_c1 = result.x(1); double best_c1 = result.x(1);