opf_semi: Executes the semi supervised training phase

In LibOPF: Design of Optimum-Path Forest Classifiers

Executes the semi supervised training phase

Description

Executes the semi supervised training phase

Usage

opf_semi(
  labeledTrainSubGraph,
  unLabeledTrainSubGraph,
  evaluatFile = NA,
  precomputedDistance = NA
)

Arguments

labeledTrainSubGraph	The labeled training object (subGraph object)
unLabeledTrainSubGraph	The unlabeled training object (subGraph object)
evaluatFile	The evaluation object produced by the opf_split (subGraph object)
precomputedDistance	The precomputed distance matrix produced by the opf_distance (leave it in blank if you are not using this resource)

Details

Returns the learned model object

Value

Returns a list which contains the classifier object and the classification list object

Examples

Training <- opf_read_subGraph(system.file("extdata/Z1LINE.dat",package = "LibOPF"))
TUnlabeled <- opf_read_subGraph(system.file("extdata/Z1DOUBLELINE.dat",package = "LibOPF"))
Testing <- opf_read_subGraph(system.file("extdata/Z3.dat",package = "LibOPF"))
Y <- opf_semi(Training,TUnlabeled)
class <- opf_classify(Testing, Y$classifier)
acc <- opf_accuracy(Testing, class)

LibOPF documentation built on Feb. 16, 2023, 10:13 p.m.