コード例 #1
0
ファイル: boosting.go プロジェクト: postfix/optimization_go
func OptimizeWeights(init_weights []float64, all_labels [][]float64) []float64 {
	log.Printf("optimize ...\n")
	var solver optimization.Solver
	if *solver_name == "gradient" {
		solver = &optimization.GradientDescentSolver{}
	}
	if *solver_name == "conjugate" {
		solver = &optimization.GradientDescentSolver{}
	}
	if solver == nil {
		solver = &optimization.LmBFGSSolver{}
	}
	solver.Init(map[string]interface{}{
		"MaxIter": *max_iter,
		"LogFunc": func(level int, message string) {
			log.Printf("solver[level=%v]:%v", level, message)
		},
	})
	problem := &optimization.Problem{
		ValueAndGradientFunc: func(p optimization.Point) (float64, optimization.Point) { return opt_func_grad(p, all_labels) },
	}
	m, v := solver.Solve(problem, optimization.VectorDensePoint(init_weights))
	log.Printf("solver min value %v #f=%v #g=%v at %v\n", v, problem.NumValue, problem.NumGradient, m.String())
	weights := optimization.VectorToDense(m)
	normalize(weights)
	return weights
}
コード例 #2
0
func test_solver(p optimization.Point, name string, solver optimization.Solver) {
	log.Printf("solver %s ...\n", name)
	solver.Init(map[string]interface{}{
		"MaxIter": 48,
		"LogFunc": func(level int, message string) {
			log.Print(message)
		},
	})
	problem := &optimization.Problem{
		ValueFunc:    opt_func,
		GradientFunc: opt_grad,
	}
	m, y := solver.Solve(problem, p)
	log.Printf("solver %s min value %v at %v #f=%v #g=%v\n", name, y, m.String(), problem.NumValue, problem.NumGradient)
}
コード例 #3
0
ファイル: test.go プロジェクト: postfix/optimization_go
func test_solver(A, b []float64, p optimization.Point, name string, solver optimization.Solver) {
	log.Printf("solver %s ...\n", name)
	solver.Init(map[string]interface{}{
		"MaxIter": *max_iter,
		"LogFunc": func(level int, message string) {
			log.Printf(message)
		},
	})
	problem := &optimization.Problem{
		ValueFunc:    func(p optimization.Point) float64 { return opt_func(A, b, p) },
		GradientFunc: func(p optimization.Point) optimization.Point { return opt_grad(A, b, p) },
	}
	m, v := solver.Solve(problem, p)
	log.Printf("solver %s min value %v #f=%v #g=%v at %v\n", name, v, problem.NumValue, problem.NumGradient, m.String())
}