/
scalers.go
164 lines (145 loc) · 3.18 KB
/
scalers.go
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// Package scalers holds the interface for scaling depths to standardized scores.
package scalers
import (
"math"
"sort"
"gonum.org/v1/gonum/mat"
"gonum.org/v1/gonum/stat"
)
// Scaler allows transformation and back of the depths.
// As an example, see the `ZScore` struct. Usually, these
// will be 0-centered
type Scaler interface {
// Scale Converts from AdjustedDepth to a scaled value
Scale(*mat.Dense)
UnScale(*mat.Dense)
}
var _ Scaler = &ZScore{}
var _ Scaler = &Log2{}
// ZScore implements the Scaler interface for StdScore (z-score)
type ZScore struct {
means []float64
sds []float64
}
// UnScale converts back to depths.
func (z *ZScore) UnScale(a *mat.Dense) {
r, _ := a.Dims()
for i := 0; i < r; i++ {
row := a.RawRowView(i)
for c, v := range row {
row[c] = math.Max(0, v*z.sds[i]+z.means[i])
}
}
}
// Scale converts from depths to z-scores.
func (z *ZScore) Scale(a *mat.Dense) {
r, _ := a.Dims()
z.means = make([]float64, r)
z.sds = make([]float64, r)
// convert to z-score
for i := 0; i < r; i++ {
row := a.RawRowView(i)
m, sd := stat.MeanStdDev(row, nil)
for c, d := range row {
row[c] = (d - m) / sd
}
z.means[i] = m
z.sds[i] = sd
}
}
type RowCentered struct {
Centerer func([]float64) float64
centers []float64
}
type ColCentered struct {
Centerer func([]float64) float64
centers []float64
}
func (rc *RowCentered) Scale(a *mat.Dense) {
r, _ := a.Dims()
if rc.centers == nil {
rc.centers = make([]float64, 0, r)
}
rc.centers = rc.centers[:0]
for i := 0; i < r; i++ {
row := a.RawRowView(i)
rc.centers = append(rc.centers, rc.Centerer(row))
for c := range row {
row[c] -= rc.centers[i]
}
}
}
func (cc *ColCentered) Scale(a *mat.Dense) {
r, c := a.Dims()
if cc.centers == nil {
cc.centers = make([]float64, 0, c)
}
cc.centers = cc.centers[:0]
col := make([]float64, r)
for i := 0; i < c; i++ {
mat.Col(col, i, a)
cc.centers = append(cc.centers, cc.Centerer(col))
for c := range col {
col[c] -= cc.centers[i]
}
a.SetCol(i, col)
}
}
func (rc *RowCentered) UnScale(a *mat.Dense) {
r, _ := a.Dims()
for i := 0; i < r; i++ {
row := a.RawRowView(i)
cnt := rc.centers[i]
for j := range row {
row[j] += cnt
}
}
}
func (cc *ColCentered) UnScale(a *mat.Dense) {
r, c := a.Dims()
col := make([]float64, r)
for i := 0; i < c; i++ {
mat.Col(col, i, a)
cnt := cc.centers[i]
for j := range col {
col[j] += cnt
}
a.SetCol(i, col)
}
}
func gmean(vs []float64) float64 {
os := make([]float64, len(vs))
copy(os, vs)
sort.Float64s(os)
return os[len(os)/2]
return stat.Mean(vs, nil)
}
// Log2 implements Scaler interface to perform log2 transformation on depths.
type Log2 struct {
CC *ColCentered
}
// Scale converts from depths to log2s
func (l *Log2) Scale(a *mat.Dense) {
r, _ := a.Dims()
if l.CC == nil {
l.CC = &ColCentered{Centerer: gmean}
}
for i := 0; i < r; i++ {
row := a.RawRowView(i)
for c, d := range row {
row[c] = math.Log2(1 + d)
}
}
l.CC.Scale(a)
}
// UnScale converts from log2s to depths
func (l *Log2) UnScale(a *mat.Dense) {
r, _ := a.Dims()
l.CC.UnScale(a)
for i := 0; i < r; i++ {
row := a.RawRowView(i)
for c, d := range row {
row[c] = math.Pow(2, d)
}
}
}