svm

package

v0.0.0-...-14a59ba Latest Latest Go to latest Published: Oct 27, 2017 License: MIT Imports: 13 Imported by: 0

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Repository

github.com/pantsing/hector

Links

Open Source Insights

Documentation ¶

Index ¶

func Commands() []cli.Command
func Distance(x, y *core.Vector) float64
func RBFKernel(x, y *core.Vector, radius float64) float64
type KNN
type L1VM
type LinearSVM
type SVM
type SVMValues

Constants ¶

This section is empty.

Variables ¶

This section is empty.

Functions ¶

func Commands ¶

func Commands() []cli.Command

func Distance ¶

func Distance(x, y *core.Vector) float64

func RBFKernel ¶

func RBFKernel(x, y *core.Vector, radius float64) float64

Types ¶

type KNN ¶

type KNN struct {
	// contains filtered or unexported fields
}

func (*KNN) Clear ¶

func (c *KNN) Clear()

func (*KNN) Command ¶

func (self *KNN) Command() cli.Command

func (*KNN) Init ¶

func (c *KNN) Init(ctx *cli.Context)

func (*KNN) Kernel ¶

func (c *KNN) Kernel(x, y *core.Vector) float64

func (*KNN) LoadModel ¶

func (self *KNN) LoadModel(path string)

func (*KNN) Predict ¶

func (c *KNN) Predict(sample *core.Sample) float64

func (*KNN) PredictMultiClass ¶

func (c *KNN) PredictMultiClass(sample *core.Sample) *core.ArrayVector

func (*KNN) SaveModel ¶

func (self *KNN) SaveModel(path string)

func (*KNN) Train ¶

func (c *KNN) Train(dataset *core.DataSet)

type L1VM ¶

type L1VM struct {
	// contains filtered or unexported fields
}

func (*L1VM) Clear ¶

func (c *L1VM) Clear()

func (*L1VM) Command ¶

func (c *L1VM) Command() cli.Command

func (*L1VM) Init ¶

func (c *L1VM) Init(ctx *cli.Context)

func (*L1VM) LoadModel ¶

func (self *L1VM) LoadModel(path string)

func (*L1VM) Predict ¶

func (c *L1VM) Predict(sample *core.Sample) float64

func (*L1VM) PredictVector ¶

func (c *L1VM) PredictVector(x *core.Vector) float64

func (*L1VM) SaveModel ¶

func (self *L1VM) SaveModel(path string)

func (*L1VM) Train ¶

func (c *L1VM) Train(dataset *core.DataSet)

type LinearSVM ¶

type LinearSVM struct {
	C float64
	// contains filtered or unexported fields
}

func (*LinearSVM) Clear ¶

func (c *LinearSVM) Clear()

func (*LinearSVM) Command ¶

func (self *LinearSVM) Command() cli.Command

func (*LinearSVM) Init ¶

func (c *LinearSVM) Init(ctx *cli.Context)

func (*LinearSVM) LoadModel ¶

func (self *LinearSVM) LoadModel(path string)

func (*LinearSVM) Predict ¶

func (c *LinearSVM) Predict(sample *core.Sample) float64

func (*LinearSVM) PredictVector ¶

func (c *LinearSVM) PredictVector(x *core.Vector) float64

func (*LinearSVM) SaveModel ¶

func (self *LinearSVM) SaveModel(path string)

func (*LinearSVM) Train ¶

func (c *LinearSVM) Train(dataset *core.DataSet)

type SVM ¶

type SVM struct {
	C float64
	// contains filtered or unexported fields
}

func (*SVM) Clear ¶

func (c *SVM) Clear()

func (*SVM) Command ¶

func (c *SVM) Command() cli.Command

func (*SVM) Init ¶

func (c *SVM) Init(ctx *cli.Context)

func (*SVM) LoadModel ¶

func (self *SVM) LoadModel(path string)

func (*SVM) MatchKKT ¶

func (c *SVM) MatchKKT(y, f, a float64) bool

func (*SVM) Predict ¶

func (c *SVM) Predict(sample *core.Sample) float64

func (*SVM) PredictVector ¶

func (c *SVM) PredictVector(x *core.Vector) float64

func (*SVM) SaveModel ¶

func (self *SVM) SaveModel(path string)

func (*SVM) Train ¶

func (c *SVM) Train(dataset *core.DataSet)

type SVMValues ¶

type SVMValues struct {
	// contains filtered or unexported fields
}

Source Files ¶

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