first version in go

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swaits committed 2013-07-30 01:42:45 -07:00
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// Glicko-2 Rating calculator package.
//
// This package implements the Glicko-2 rating system algorithm written by
// Professor Mark E. Glickman. All rating inputs and outputs are Glicko ratings,
// but internally everything is converted to and considered Glicko-2 ratings.
//
// Glicko-2 is an improvement on the original Glicko, which was, in turn, an
// improvement on the ELO system.
//
// The Glicko-2 system is specified on http://www.glicko.com/
//
package glicko2
import (
"fmt"
"math"
)
const dvolatility float64 = 0.3
// Glicko2 state reprensentation (Glicko2 uses different scales from Glicko)
type Glicko2 struct {
rating float64
deviation float64
volatility float64
wins [](*Glicko2)
losses [](*Glicko2)
draws [](*Glicko2)
}
// Initializer with rating, rating deviation, and volatility specified.
func NewGlicko2(rating float64, deviation float64, volatility float64) *Glicko2 {
return newGlicko2(rating, deviation, volatility)
}
// Initializer with default rating, rating deviation, and volatility.
func NewDefaultGlicko2() *Glicko2 {
return newGlicko2(1500.0, 350.0, 0.06)
}
// helper for initialization
func newGlicko2(rating float64, deviation float64, volatility float64) *Glicko2 {
g := new(Glicko2)
g.SetRating(rating)
g.SetDeviation(deviation)
g.SetVolatility(volatility)
return g
}
// Get the current rating. This rating is a Glicko rating, not a Glicko2 rating.
// For details, please see http://www.glicko.com/
func (g *Glicko2) Rating() float64 {
return ((g.rating * 173.7178) + 1500.0)
}
// Set Glicko rating. Internally this is converted to a Glicko2 rating.
// For details, please see http://www.glicko.com/
func (g *Glicko2) SetRating(rating float64) {
g.rating = (rating - 1500.0) / 173.7178
}
// Get the current rating deviation. This is a Glicko rating deviation, not a
// Glicko-2 RD. For details, please see http://www.glicko.com/
func (g *Glicko2) Deviation() float64 {
return (g.deviation * 173.7178)
}
// Set Glicko rating deviation. Internally this is converted to a Glicko-2 RD.
// For details, please see http://www.glicko.com/
func (g *Glicko2) SetDeviation(deviation float64) {
g.deviation = deviation / 173.7178
}
// Get the current rating volatility.
func (g *Glicko2) Volatility() float64 {
return g.volatility
}
// Set rating volatility.
func (g *Glicko2) SetVolatility(volatility float64) {
g.volatility = volatility
}
// helper to make a copy of a Glicko2 struct
func (g *Glicko2) duplicate() *Glicko2 {
c := *g
return &c
}
// Clear all results previously added via add_result(), add_win(), add_loss(),
// and/or add_draw(). This method is called automatically whenever update()
// is called.
func (g *Glicko2) ClearResults() {
g.wins = nil
g.losses = nil
g.draws = nil
}
// Add a win result to this rating. Note that no calculation is performed until
// Update() is called.
func (g *Glicko2) AddWin(loser *Glicko2) {
g.wins = append(g.wins, loser.duplicate())
}
// Add a loss result to this rating. Note that no calculation is performed until
// Update() is called.
func (g *Glicko2) AddLoss(winner *Glicko2) {
g.losses = append(g.losses, winner.duplicate())
}
// Add a draw result to this rating. Note that no calculation is performed until
// Update() is called.
func (g *Glicko2) AddDraw(drawer *Glicko2) {
g.draws = append(g.draws, drawer.duplicate())
}
// Print a Glicko2 struct
func (g *Glicko2) Print() {
fmt.Printf(" rating: %v\n", g.Rating())
fmt.Printf(" deviation: %v\n", g.Deviation())
fmt.Printf("volatility: %v\n", g.Volatility())
for _, win := range g.wins {
fmt.Printf(" *beat\n")
fmt.Printf(" rating: %v\n", win.Rating())
fmt.Printf(" deviation: %v\n", win.Deviation())
fmt.Printf(" volatility: %v\n", win.Volatility())
}
}
// util func
func calcG(deviation float64) float64 {
return 1.0 / (math.Sqrt(1.0 + 3.0*(deviation*deviation)/(math.Pi*math.Pi)))
}
// util func
func calcE(rating float64, rating_opponent float64, deviation_opponent float64) float64 {
return 1.0 / (1.0 + math.Exp(-calcG(deviation_opponent)*(rating-rating_opponent)))
}
// Update rating based on current results list, and clear results.
func (g *Glicko2) Update() {
// merge wins, losses, draws slices for convenience
results := append(append(g.wins, g.losses...), g.draws...)
// bail if no opponents set
if len(results) == 0 {
g.deviation = math.Sqrt((g.deviation * g.deviation) + (g.volatility * g.volatility))
return
}
// compute variance
variance := 0.0
for _, r := range results {
g_i := calcG(r.deviation)
e_i := calcE(g.rating, r.rating, r.deviation)
variance += (g_i * g_i) * e_i * (1.0 - e_i)
}
variance = 1.0 / variance
// compute delta
delta := 0.0
for _, r := range g.wins {
delta += calcG(r.deviation) * (1.0 - calcE(g.rating, r.rating, r.deviation))
}
for _, r := range g.losses {
delta += calcG(r.deviation) * (0.0 - calcE(g.rating, r.rating, r.deviation))
}
for _, r := range g.draws {
delta += calcG(r.deviation) * (0.5 - calcE(g.rating, r.rating, r.deviation))
}
delta *= variance
// determine new volatility
new_volatility := 0.0
a := math.Log((g.volatility * g.volatility))
x := 0.0
x_new := a
for math.Abs(x-x_new) > 0.0000001 {
x = x_new
d := (g.deviation * g.deviation) + variance + math.Exp(x)
h1 := -(x-a)/(dvolatility*dvolatility) - 0.5*math.Exp(x)/d + 0.5*math.Exp(x)*(delta/d)*(delta/d)
h2 := -1.0/(dvolatility*dvolatility) - 0.5*math.Exp(x)*((g.deviation*g.deviation)+variance)/(d*d) + 0.5*(delta*delta)*math.Exp(x)*((g.deviation*g.deviation)+variance-math.Exp(x))/(d*d*d)
x_new = x - h1/h2
}
new_volatility = math.Exp(x_new / 2.0)
// update the rating deviation to the new pre-rating period value
pre_deviation := math.Sqrt((g.deviation * g.deviation) + (new_volatility * new_volatility))
// update the rating and deviation
new_deviation := 1.0 / (math.Sqrt(1.0/(pre_deviation * pre_deviation) + 1.0/variance))
new_rating := 0.0
for _, r := range g.wins {
new_rating += calcG(r.deviation) * (1.0 - calcE(g.rating, r.rating, r.deviation))
}
for _, r := range g.losses {
new_rating += calcG(r.deviation) * (0.0 - calcE(g.rating, r.rating, r.deviation))
}
for _, r := range g.draws {
new_rating += calcG(r.deviation) * (0.5 - calcE(g.rating, r.rating, r.deviation))
}
new_rating = new_rating * (new_deviation * new_deviation)
new_rating += g.rating
// wipe our result lists
g.ClearResults()
// copy new values
g.deviation = new_deviation
g.volatility = new_volatility
g.rating = new_rating
}
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package glicko2
import (
"testing"
"math"
)
func inRange(want float64, have float64, delta float64) bool {
return math.Abs(want-have) <= delta
}
func TestGlicko2(t *testing.T) {
a := NewGlicko2(1500.0, 200.0, 0.06)
b := NewGlicko2(1400.0, 30.0, 0.06)
c := NewGlicko2(1550.0, 100.0, 0.06)
d := NewGlicko2(1700.0, 300.0, 0.06)
a.AddWin(b)
a.AddLoss(c)
a.AddLoss(d)
if a.Rating() != 1500.0 {
t.Error()
}
if a.Deviation() != 200.0 {
t.Error()
}
a.Update()
if !inRange(a.Rating(),1464.05,0.01) {
t.Error()
}
if !inRange(a.Deviation(),151.516,0.01) {
t.Error()
}
a.Update()
if !inRange(a.Rating(),1464.05,0.01) {
t.Error()
}
if !inRange(a.Deviation(),151.875,0.01) {
t.Error()
}
}