func NewStat(data []float64) Stat {
return Stat{
Min: stats.StatsMin(data),
Max: stats.StatsMax(data),
Mean: stats.StatsMean(data),
StdDev: stats.StatsPopulationStandardDeviation(data),
Total: stats.StatsSum(data),
}
}
func Stats(H []Estudiante) {
in := make([]float64, len(H))
for i := 0; i < len(H); i++ {
in[i] = H[i].Renta + H[i].Beca
}
log.Println("StdDev", stats.StatsPopulationStandardDeviation(in))
log.Println("Mean", stats.StatsMean(in))
}
func (r *Report) DistributionScore() float64 {
memoryCounts := []float64{}
for _, instances := range r.InstancesByRep {
memoryCount := 0.0
for _, instance := range instances {
memoryCount += float64(instance.MemoryMB)
}
memoryCounts = append(memoryCounts, memoryCount)
}
return stats.StatsPopulationStandardDeviation(memoryCounts) / stats.StatsMean(memoryCounts)
}
func (r *Report) InitialDistributionScore() float64 {
memoryCounts := []float64{}
for _, instances := range r.InstancesByRep {
memoryCount := 0.0
for _, instance := range instances {
if !r.IsAuctionedInstance(instance) {
memoryCount += float64(instance.MemoryMB)
}
}
memoryCounts = append(memoryCounts, memoryCount)
}
if stats.StatsSum(memoryCounts) == 0 {
return 0
}
return stats.StatsPopulationStandardDeviation(memoryCounts) / stats.StatsMean(memoryCounts)
}