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Documentation

Index

• type BaggedModel
  • func (b *BaggedModel) AddModel(m base.Classifier)
  • func (b *BaggedModel) Fit(from *base.Instances)
  • func (b *BaggedModel) Predict(from *base.Instances) *base.Instances
  • func (b *BaggedModel) String() string

Types

type BaggedModel

type BaggedModel struct {
	base.BaseClassifier
	Models         []base.Classifier
	RandomFeatures int
	// contains filtered or unexported fields
}

BaggedModel trains base.Classifiers on subsets of the original Instances and combine the results through voting

func (*BaggedModel) AddModel

func (b *BaggedModel) AddModel(m base.Classifier)

AddModel adds a base.Classifier to the current model

func (*BaggedModel) Fit

func (b *BaggedModel) Fit(from *base.Instances)

Train generates and trains each model on a randomised subset of Instances.

func (*BaggedModel) Predict

func (b *BaggedModel) Predict(from *base.Instances) *base.Instances

Predict gathers predictions from all the classifiers and outputs the most common (majority) class

IMPORTANT: in the event of a tie, the first class which achieved the tie value is output.

func (*BaggedModel) String

func (b *BaggedModel) String() string

String returns a human-readable representation of the BaggedModel and everything it contains