func runRandomForest() {
oobStatsFile := OOBStatsFile
perfFile := PerfFile
statFile := StatFile
trainset, testset := getSamples()
if MaxFeature < 0 {
MaxFeature = trainset.GetNColumn()
}
for nfeature := MinFeature; nfeature < MaxFeature; nfeature++ {
// Add prefix to OOB stats file.
oobStatsFile = fmt.Sprintf("N%d.%s", nfeature, OOBStatsFile)
// Add prefix to performance file.
perfFile = fmt.Sprintf("N%d.%s", nfeature, PerfFile)
// Add prefix to stat file.
statFile = fmt.Sprintf("N%d.%s", nfeature, StatFile)
// Create and build random forest.
forest := rf.Runtime{
Runtime: classifier.Runtime{
RunOOB: RunOOB,
OOBStatsFile: oobStatsFile,
PerfFile: perfFile,
StatFile: statFile,
},
NTree: NTree,
NRandomFeature: nfeature,
PercentBoot: NBootstrap,
}
e := forest.Build(trainset)
if e != nil {
log.Fatal(e)
}
if DoTest {
predicts, _, probs := forest.ClassifySet(testset, nil)
forest.Performance(testset, predicts, probs)
e = forest.WritePerformance()
if e != nil {
log.Fatal(e)
}
}
}
}
//
// finalizeStage save forest and write the forest statistic to file.
//
func (crf *Runtime) finalizeStage(forest *rf.Runtime) (e error) {
stat := forest.StatTotal()
stat.ID = int64(len(crf.forests))
e = crf.WriteOOBStat(stat)
if e != nil {
return e
}
crf.AddStat(stat)
crf.ComputeStatTotal(stat)
if DEBUG >= 1 {
crf.PrintStatTotal(nil)
}
// (7)
crf.AddForest(forest)
return nil
}
