Bayesian-Optimization / app / bo_oned.cpp

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77``` ```/* ------------------------------------------------------------------------- This file is part of BayesOpt, an efficient C++ library for Bayesian optimization. Copyright (C) 2011-2013 Ruben Martinez-Cantin BayesOpt is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. BayesOpt is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with BayesOpt. If not, see . ------------------------------------------------------------------------ */ #include #include "bayesoptcont.hpp" class ExampleOneD: public bayesopt::ContinuousModel { public: ExampleOneD(size_t dim, bopt_params par): ContinuousModel(dim,par) {} double evaluateSample(const vectord& xin) { if (xin.size() > 1) { std::cout << "WARNING: This only works for 1D inputs." << std::endl << "WARNING: Using only first component." << std::endl; } double x = xin(0); return sqr(x-0.5) + sin(20*x)*0.2; }; bool checkReachability(const vectord &query) {return true;}; inline double sqr( double x ){ return x*x; } void printOptimal() { std::cout << "Optimal:" << 0.5 << std::endl; } }; int main(int nargs, char *args[]) { size_t dim = 1; bopt_params parameters = initialize_parameters_to_default(); parameters.n_init_samples = 10; parameters.n_iterations = 300; parameters.surr_name = "sGaussianProcessML"; /* parameters.kernel.hp_mean[0] = 1.0; parameters.kernel.hp_std[0] = 100.0; parameters.kernel.n_hp = 1; parameters.crit_name = "cHedge(cEI,cLCB,cExpReturn,cOptimisticSampling)"; parameters.epsilon = 0.0;*/ ExampleOneD opt(dim,parameters); vectord result(dim); opt.optimize(result); std::cout << "Result:" << result << std::endl; opt.printOptimal(); return 0; } ```
Tip: Filter by directory path e.g. /media app.js to search for public/media/app.js.
Tip: Use camelCasing e.g. ProjME to search for ProjectModifiedEvent.java.
Tip: Filter by extension type e.g. /repo .js to search for all .js files in the /repo directory.
Tip: Separate your search with spaces e.g. /ssh pom.xml to search for src/ssh/pom.xml.
Tip: Use ↑ and ↓ arrow keys to navigate and return to view the file.
Tip: You can also navigate files with Ctrl+j (next) and Ctrl+k (previous) and view the file with Ctrl+o.
Tip: You can also navigate files with Alt+j (next) and Alt+k (previous) and view the file with Alt+o.