lnsmote

Documentation

Overview

Package lnsmote implement the Local-Neighborhood algorithm from the paper,

Maciejewski, Tomasz, and Jerzy Stefanowski. "Local neighbourhood
extension of SMOTE for mining imbalanced data." Computational
Intelligence and Data Mining (CIDM), 2011 IEEE Symposium on. IEEE,
2011.

Index

• type Input
  • func (in *Input) Init(dataset dsv.Dataset)
  • func (in *Input) Resampling(dataset dsv.Dataset) (synthetics dsv.Dataset)

Types

type Input

type Input struct {
	// Input the K-Nearest-Neighbourhood parameters.
	knn.Input
	// ClassMinor the minority sample in dataset
	ClassMinor string
	// PercentOver input for oversampling percentage.
	PercentOver int

	// Synthetic output for new sample.
	Synthetic dsv.Dataset
	// contains filtered or unexported fields
}

LNSmote parameters for input and output.

func (*Input) Init

func (in *Input) Init(dataset dsv.Dataset)

func (*Input) Resampling

func (in *Input) Resampling(dataset dsv.Dataset) (synthetics dsv.Dataset)