diff options
author | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2012-05-14 17:00:45 +0200 |
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committer | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2012-05-14 17:00:45 +0200 |
commit | fb42639b433d2fc0c68f300666be1192dc3b4f59 (patch) | |
tree | bbce7fffa8c28ade217cf331e357ba65e64235b3 /training | |
parent | 670a8f984fc6d8342180c59ae9e96b0b76f34d3d (diff) | |
parent | 0f1e696690b18259acd79c3469d00a72aca00161 (diff) |
Merge remote-tracking branch 'upstream/master'
Diffstat (limited to 'training')
-rw-r--r-- | training/liblbfgs/lbfgs++.h | 30 | ||||
-rw-r--r-- | training/liblbfgs/ll_test.cc | 4 |
2 files changed, 21 insertions, 13 deletions
diff --git a/training/liblbfgs/lbfgs++.h b/training/liblbfgs/lbfgs++.h index 342f9b0e..2b40c19b 100644 --- a/training/liblbfgs/lbfgs++.h +++ b/training/liblbfgs/lbfgs++.h @@ -16,28 +16,33 @@ template <typename Function> class LBFGS { public: - LBFGS(size_t n, // number of variables - const Function& f, // function to optimize - double l1_c = 0.0, // l1 penalty strength - size_t m = 10 // number of memory buffers - // TODO should use custom allocator here: + LBFGS(size_t n, // number of variables + const Function& f, // function to optimize + size_t m = 10, // number of memory buffers + double l1_c = 0.0, // l1 penalty strength + unsigned l1_start = 0, // l1 penalty starting index + double eps = 1e-5 // convergence epsilon + // TODO should use custom allocator here: ) : p_x(new std::vector<lbfgsfloatval_t>(n, 0.0)), owned(true), m_x(*p_x), func(f) { - Init(m, l1_c); + Init(m, l1_c, l1_start, eps); } // constructor where external vector storage for variables is used LBFGS(std::vector<lbfgsfloatval_t>* px, const Function& f, - double l1_c = 0.0, // l1 penalty strength - size_t m = 10 + size_t m = 10, // number of memory buffers + double l1_c = 0.0, // l1 penalty strength + unsigned l1_start = 0, // l1 penalty starting index + double eps = 1e-5 // convergence epsilon + // TODO should use custom allocator here: ) : p_x(px), owned(false), m_x(*p_x), func(f) { - Init(m, l1_c); + Init(m, l1_c, l1_start, eps); } ~LBFGS() { @@ -60,12 +65,14 @@ class LBFGS { } private: - void Init(size_t m, double l1_c) { + void Init(size_t m, double l1_c, unsigned l1_start, double eps) { lbfgs_parameter_init(¶m); param.m = m; + param.epsilon = eps; if (l1_c > 0.0) { param.linesearch = LBFGS_LINESEARCH_BACKTRACKING; - param.orthantwise_c = 1.0; + param.orthantwise_c = l1_c; + param.orthantwise_start = l1_start; } silence = false; } @@ -83,6 +90,7 @@ class LBFGS { lbfgsfloatval_t *g, const int n, const lbfgsfloatval_t step) { + (void) x; (void) n; (void) step; if (!silence) { ec++; std::cerr << '.'; } diff --git a/training/liblbfgs/ll_test.cc b/training/liblbfgs/ll_test.cc index 43c0f214..48bc0366 100644 --- a/training/liblbfgs/ll_test.cc +++ b/training/liblbfgs/ll_test.cc @@ -5,7 +5,7 @@ using namespace std; // Function must be lbfgsfloatval_t f(x.begin, x.end, g.begin) lbfgsfloatval_t func(const vector<lbfgsfloatval_t>& x, lbfgsfloatval_t* g) { - int i; + unsigned i; lbfgsfloatval_t fx = 0.0; for (i = 0;i < x.size();i += 2) { @@ -24,7 +24,7 @@ void Opt(F& f) { lbfgs.MinimizeFunction(); } -int main(int argc, char** argv) { +int main() { Opt(func); return 0; } |