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package lesci
import (
"context"
"database/sql"
"image/color"
"path"
"slices"
"gonum.org/v1/gonum/stat"
"gonum.org/v1/plot"
"gonum.org/v1/plot/plotter"
"gonum.org/v1/plot/vg"
"gonum.org/v1/plot/vg/draw"
)
func (e *Experiment) Plot(db *sql.DB) error {
var rows *sql.Rows
if r, err := db.QueryContext(context.Background(), "SELECT tok, mean, treat FROM lesci_results"); err != nil {
return err
} else {
rows = r
}
defer rows.Close()
var pts plotter.XYs
var inX, inY, oovX, oovY []float64
for rows.Next() {
var tok, mean float64
var treat bool
if err := rows.Scan(&tok, &mean, &treat); err != nil {
return err
}
if mean < -20 || mean > 0 {
continue
}
pts = append(pts, plotter.XY{X: tok, Y: mean})
if treat {
inX = append(inX, tok)
inY = append(inY, mean)
} else {
oovX = append(oovX, tok)
oovY = append(oovY, mean)
}
}
if err := rows.Err(); err != nil {
return err
}
return render(pts, inX, inY, oovX, oovY, float64(e.cutoff), path.Join(e.name, "scatter.png"))
}
func render(pts plotter.XYs, inX, inY, oovX, oovY []float64, cutoff float64, out string) error {
p := plot.New()
p.Title.Text = "Original Data and Regression Fit for Mean"
p.X.Label.Text = "Token"
p.Y.Label.Text = "Mean"
p.Y.Min = -20
p.Y.Max = 0
p.Add(plotter.NewGrid())
if err := addScatter(p, pts); err != nil {
return err
}
orangeRed := color.RGBA{R: 255, G: 69, B: 0, A: 255}
aIn, bIn := stat.LinearRegression(inX, inY, nil, false)
aOov, bOov := stat.LinearRegression(oovX, oovY, nil, false)
addLine(p, aIn, bIn, slices.Min(inX), slices.Max(inX), orangeRed)
addLine(p, aOov, bOov, cutoff, slices.Max(oovX), orangeRed)
if err := addStep(p, aIn, bIn, aOov, bOov, cutoff, orangeRed); err != nil {
return err
}
return p.Save(10*vg.Inch, 6*vg.Inch, out)
}
func addScatter(p *plot.Plot, pts plotter.XYs) error {
s, err := plotter.NewScatter(pts)
if err != nil {
return err
}
s.Color = color.RGBA{A: 64}
s.Radius = vg.Points(2)
s.Shape = draw.CircleGlyph{}
p.Add(s)
return nil
}
func addLine(p *plot.Plot, alpha, beta, xMin, xMax float64, c color.Color) {
f := plotter.NewFunction(func(x float64) float64 {
return alpha + beta*x
})
f.Color = c
f.Width = vg.Points(1.5)
f.XMin = xMin
f.XMax = xMax
p.Add(f)
}
func addStep(p *plot.Plot, aIn, bIn, aOov, bOov, cutoff float64, c color.Color) error {
l, err := plotter.NewLine(plotter.XYs{
{X: cutoff, Y: aIn + bIn*cutoff},
{X: cutoff, Y: aOov + bOov*cutoff},
})
if err != nil {
return err
}
l.Color = c
l.Width = vg.Points(1.5)
p.Add(l)
return nil
}
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