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ml_pcc.go
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/
ml_pcc.go
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package src
import (
"math"
"runtime"
"sync"
"github.com/gonum/floats"
"github.com/gonum/matrix/mat64"
)
type fm struct {
mat64.Matrix
}
type coor struct {
i [100]int
j [100]int
}
func (f *coor) SetI(i [100]int) {
f.i = i
}
func (f coor) I() [100]int {
return f.i
}
func (f *coor) SetJ(j [100]int) {
f.j = j
}
func (f coor) J() [100]int {
return f.j
}
//Multiple threads PCC
func ParaCov(data *mat64.Dense, goro int) (covmat *mat64.Dense, err error) {
nSets, nData := data.Dims()
if nSets == 0 {
}
runtime.GOMAXPROCS(goro)
c := make([]coor, 1)
element := coor{}
var iArr [100]int
var jArr [100]int
k := 0
for i := 0; i < nSets; i++ {
for j := i; j < nSets; j++ {
if k <= 99 {
iArr[k] = i
jArr[k] = j
} else {
element.SetI(iArr)
element.SetJ(jArr)
c = append(c, element)
element = coor{}
k = 0
iArr[k] = i
jArr[k] = j
}
k++
}
}
//last coor
element.SetI(iArr)
element.SetJ(jArr)
c = append(c, element)
//pcc matrix, mean and var sqrt
covmat = mat64.NewDense(nSets, nSets, nil)
means := make([]float64, nSets)
vs := make([]float64, nSets)
for i := range means {
means[i] = floats.Sum(data.RawRowView(i)) / float64(nData)
var element float64
for j, _ := range data.RawRowView(i) {
data.Set(i, j, data.At(i, j)-means[i])
element += data.At(i, j) * data.At(i, j)
}
vs[i] = math.Sqrt(element)
}
var wg sync.WaitGroup
in := make(chan coor, goro*40)
singlePCC := func() {
for {
select {
case element := <-in:
iArr := element.I()
jArr := element.J()
for m := 0; m < len(iArr); m++ {
i := iArr[m]
j := jArr[m]
var cv float64
for k, val := range data.RawRowView(i) {
cv += data.At(j, k) * val
}
cv = cv / (vs[i] * vs[j])
if (i == 0 && j == 0 && covmat.At(0, 0) == 0.0) || (i+j) > 0 {
covmat.Set(i, j, cv)
covmat.Set(j, i, cv)
}
}
wg.Done()
}
}
}
wg.Add(len(c))
for i := 0; i < goro; i++ {
go singlePCC()
}
for i := 0; i < len(c); i++ {
in <- c[i]
}
wg.Wait()
return covmat, nil
}