opf_learn: Executes the learning phase of the OPF classifier

In LibOPF: Design of Optimum-Path Forest Classifiers

Executes the learning phase of the OPF classifier

Description

Executes the learning phase of the OPF classifier

Usage

opf_learn(trainFile, evaluatFile, precomputedDistance = NA)

Arguments

trainFile	The training object produced by the opf_split (subGraph object)
evaluatFile	The evaluation produced object 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

Executes the training phase

Value

Returns a list which contains the classifier model object

Examples

dat <- opf_read_subGraph(system.file("extdata/boat.dat",package = "LibOPF"))
X <- opf_split(dat,0.3,0.2,0.5,0)
T <- X$training
T2 <- X$testing
E <- X$evaluating
Y <- opf_learn(T,E)
class <- opf_classify(T2, Y$classifier)
acc <- opf_accuracy(T2, class)

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