// AdjustSkills returns the new skill level distribution for all provided
// players based on game configuration and draw status.
func (ts Config) AdjustSkills(players Players, draw bool) (Players, float64) {
// Sort players
// sort.Sort(players)
draws := []bool{}
for i := 0; i < players.Len()-1; i++ {
draws = append(draws, draw)
}
// TODO: Rewrite the distribution bag and simplify the factor list as well
prior := gaussian.NewFromPrecision(0, 0)
varBag := collection.NewDistributionBag(prior)
skillFactors, skillIndex, factorList := buildSkillFactors(ts, players, draws, varBag)
sched := buildSkillFactorSchedule(players.Len(), skillFactors, loopMaxDelta)
// delta
_ = schedule.Run(sched, -1)
logZ := factorList.LogNormalization()
probability := math.Exp(logZ)
newPlayerSkills := Players{}
for _, id := range skillIndex {
newPlayerSkills = append(newPlayerSkills, Player{Gaussian: varBag.Get(id)})
}
return newPlayerSkills, probability
}
// NewGaussianFactors initializes a gaussian factor with a distribution bag and
// returns it.
func NewGaussianFactors() GaussianFactors {
prior := gaussian.NewFromPrecision(0, 0)
return GaussianFactors{
msgBag: collection.NewDistributionBag(prior),
}
}
