fixed dependencies
This commit is contained in:
95
vendor/gonum.org/v1/gonum/optimize/gradientdescent.go
generated
vendored
Normal file
95
vendor/gonum.org/v1/gonum/optimize/gradientdescent.go
generated
vendored
Normal file
@@ -0,0 +1,95 @@
|
||||
// Copyright ©2014 The Gonum Authors. All rights reserved.
|
||||
// Use of this source code is governed by a BSD-style
|
||||
// license that can be found in the LICENSE file.
|
||||
|
||||
package optimize
|
||||
|
||||
import "gonum.org/v1/gonum/floats"
|
||||
|
||||
var (
|
||||
_ Method = (*GradientDescent)(nil)
|
||||
_ localMethod = (*GradientDescent)(nil)
|
||||
_ NextDirectioner = (*GradientDescent)(nil)
|
||||
)
|
||||
|
||||
// GradientDescent implements the steepest descent optimization method that
|
||||
// performs successive steps along the direction of the negative gradient.
|
||||
type GradientDescent struct {
|
||||
// Linesearcher selects suitable steps along the descent direction.
|
||||
// If Linesearcher is nil, a reasonable default will be chosen.
|
||||
Linesearcher Linesearcher
|
||||
// StepSizer determines the initial step size along each direction.
|
||||
// If StepSizer is nil, a reasonable default will be chosen.
|
||||
StepSizer StepSizer
|
||||
// GradStopThreshold sets the threshold for stopping if the gradient norm
|
||||
// gets too small. If GradStopThreshold is 0 it is defaulted to 1e-12, and
|
||||
// if it is NaN the setting is not used.
|
||||
GradStopThreshold float64
|
||||
|
||||
ls *LinesearchMethod
|
||||
|
||||
status Status
|
||||
err error
|
||||
}
|
||||
|
||||
func (g *GradientDescent) Status() (Status, error) {
|
||||
return g.status, g.err
|
||||
}
|
||||
|
||||
func (*GradientDescent) Uses(has Available) (uses Available, err error) {
|
||||
return has.gradient()
|
||||
}
|
||||
|
||||
func (g *GradientDescent) Init(dim, tasks int) int {
|
||||
g.status = NotTerminated
|
||||
g.err = nil
|
||||
return 1
|
||||
}
|
||||
|
||||
func (g *GradientDescent) Run(operation chan<- Task, result <-chan Task, tasks []Task) {
|
||||
g.status, g.err = localOptimizer{}.run(g, g.GradStopThreshold, operation, result, tasks)
|
||||
close(operation)
|
||||
}
|
||||
|
||||
func (g *GradientDescent) initLocal(loc *Location) (Operation, error) {
|
||||
if g.Linesearcher == nil {
|
||||
g.Linesearcher = &Backtracking{}
|
||||
}
|
||||
if g.StepSizer == nil {
|
||||
g.StepSizer = &QuadraticStepSize{}
|
||||
}
|
||||
|
||||
if g.ls == nil {
|
||||
g.ls = &LinesearchMethod{}
|
||||
}
|
||||
g.ls.Linesearcher = g.Linesearcher
|
||||
g.ls.NextDirectioner = g
|
||||
|
||||
return g.ls.Init(loc)
|
||||
}
|
||||
|
||||
func (g *GradientDescent) iterateLocal(loc *Location) (Operation, error) {
|
||||
return g.ls.Iterate(loc)
|
||||
}
|
||||
|
||||
func (g *GradientDescent) InitDirection(loc *Location, dir []float64) (stepSize float64) {
|
||||
copy(dir, loc.Gradient)
|
||||
floats.Scale(-1, dir)
|
||||
return g.StepSizer.Init(loc, dir)
|
||||
}
|
||||
|
||||
func (g *GradientDescent) NextDirection(loc *Location, dir []float64) (stepSize float64) {
|
||||
copy(dir, loc.Gradient)
|
||||
floats.Scale(-1, dir)
|
||||
return g.StepSizer.StepSize(loc, dir)
|
||||
}
|
||||
|
||||
func (*GradientDescent) needs() struct {
|
||||
Gradient bool
|
||||
Hessian bool
|
||||
} {
|
||||
return struct {
|
||||
Gradient bool
|
||||
Hessian bool
|
||||
}{true, false}
|
||||
}
|
||||
Reference in New Issue
Block a user