eval

package

v0.0.0-...-14a59ba Latest Latest Go to latest Published: Oct 27, 2017 License: MIT Imports: 3 Imported by: 0

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Repository

github.com/pantsing/hector

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Documentation ¶

Index ¶

func AUC(predictions0 []*LabelPrediction) float64
func BalanceErrorRate(predictions []*LabelPrediction, ssr float64) float64
func ErrorRate(predictions []*LabelPrediction) float64
func RMSE(predictions []*LabelPrediction) float64
func RegRMSE(predictions []*RealPrediction) float64
type By
- func (by By) Sort(predictions []*LabelPrediction)
type LabelPrediction
type RealPrediction

Constants ¶

This section is empty.

Variables ¶

This section is empty.

Functions ¶

func AUC ¶

func AUC(predictions0 []*LabelPrediction) float64

func BalanceErrorRate ¶

func BalanceErrorRate(predictions []*LabelPrediction, ssr float64) float64

BalanceErrorRate considers the real ratio between positive and negative samples. Sample labels should be marked 1 for positive samples and 0 for negative. The ssr is sub-sample rate (0,1]. If no sub-sample applied on sample set, ssr should be set as 1. Sub-sample is on negative samples.

func ErrorRate ¶

func ErrorRate(predictions []*LabelPrediction) float64

func RMSE ¶

func RMSE(predictions []*LabelPrediction) float64

func RegRMSE ¶

func RegRMSE(predictions []*RealPrediction) float64

Types ¶

type By ¶

type By func(p1, p2 *LabelPrediction) bool

func (By) Sort ¶

func (by By) Sort(predictions []*LabelPrediction)

type LabelPrediction ¶

type LabelPrediction struct {
	Prediction float64
	Label      int
}

type RealPrediction ¶

type RealPrediction struct {
	Prediction float64
	Value      float64
}

Source Files ¶

View all Source files

evaluation.go

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