fix mvp counting bug
This commit is contained in:
parent
c1c47966c2
commit
763add6b0e
41
probppl.go
41
probppl.go
|
@ -20,7 +20,7 @@ func generatePeopleKnownDistribution(r src) map[int64]float64 {
|
||||||
// Consider successive exponents of 1.5
|
// Consider successive exponents of 1.5
|
||||||
l := 1.0
|
l := 1.0
|
||||||
m := 1.5
|
m := 1.5
|
||||||
for i := 1; i < 22; i++ {
|
for i := 1; i < 20; i++ {
|
||||||
l = l * m
|
l = l * m
|
||||||
p := r.Float64()
|
p := r.Float64()
|
||||||
mapping[int64(l)] = p
|
mapping[int64(l)] = p
|
||||||
|
@ -87,6 +87,11 @@ func drawFromDistributionWithReplacement(d pplKnownDistrib, r src) int64 {
|
||||||
panic("Probabilities should sum up to 1")
|
panic("Probabilities should sum up to 1")
|
||||||
}
|
}
|
||||||
|
|
||||||
|
func aboutEq(a int64, b int64) bool {
|
||||||
|
h := int64(3)
|
||||||
|
return ((-h) <= (a - b)) && ((a - b) <= h)
|
||||||
|
}
|
||||||
|
|
||||||
func draw148PplFromDistributionAndCheck(d pplKnownDistrib, r src) int64 {
|
func draw148PplFromDistributionAndCheck(d pplKnownDistrib, r src) int64 {
|
||||||
|
|
||||||
count := make(map[int64]int64)
|
count := make(map[int64]int64)
|
||||||
|
@ -99,35 +104,39 @@ func draw148PplFromDistributionAndCheck(d pplKnownDistrib, r src) int64 {
|
||||||
person_i_num_birthday_matches := getMatchesDrawGivenNPeopleKnown(person_i_ppl_known, r)
|
person_i_num_birthday_matches := getMatchesDrawGivenNPeopleKnown(person_i_ppl_known, r)
|
||||||
count[person_i_num_birthday_matches]++
|
count[person_i_num_birthday_matches]++
|
||||||
}
|
}
|
||||||
if (count[0] == 69) && (count[1] == 46) && (count[2] == 19) && (count[3] == 14) {
|
// if (count[0] == 69) && (count[1] == 46) && (count[2] == 19) && (count[3] == 14) {
|
||||||
|
fmt.Println(count)
|
||||||
|
if aboutEq(count[0], 69) && aboutEq(count[1], 46) && aboutEq(count[2], 19) && aboutEq(count[3], 14) {
|
||||||
return 1
|
return 1
|
||||||
} else {
|
} else {
|
||||||
return 0
|
return 0
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
func getUnnormalizedBayesianUpdateForDistribution(d pplKnownDistrib, r src) float64 {
|
func getUnnormalizedBayesianUpdateForDistribution(d pplKnownDistrib, r src) int64 {
|
||||||
var sum int64 = 0
|
var sum int64 = 0
|
||||||
n := 100_000
|
n := 1
|
||||||
for i := 0; i < n; i++ {
|
for i := 0; i < n; i++ {
|
||||||
if i%1000 == 0 {
|
/* if i%1000 == 0 {
|
||||||
fmt.Println(i)
|
fmt.Println(i)
|
||||||
}
|
} */
|
||||||
sum += draw148PplFromDistributionAndCheck(d, r)
|
draw_result := draw148PplFromDistributionAndCheck(d, r)
|
||||||
|
// fmt.Println(draw_result)
|
||||||
|
sum += draw_result
|
||||||
}
|
}
|
||||||
return float64(sum) / float64(n)
|
return sum // float64(sum) / float64(n)
|
||||||
}
|
}
|
||||||
|
|
||||||
func main() {
|
func main() {
|
||||||
fmt.Println("Hello world")
|
|
||||||
|
|
||||||
var r = rand.New(rand.NewPCG(uint64(1), uint64(2)))
|
var r = rand.New(rand.NewPCG(uint64(1), uint64(2)))
|
||||||
people_known_distribution := generatePeopleKnownDistribution(r)
|
|
||||||
fmt.Println(people_known_distribution)
|
for i := 0; i < 100; i++ {
|
||||||
/* for i, p := range people_known_distribution {
|
|
||||||
fmt.Print64f("%d: %.4f\n", i, p)
|
people_known_distribution := generatePeopleKnownDistribution(r)
|
||||||
} */
|
// fmt.Println(people_known_distribution)
|
||||||
result := getUnnormalizedBayesianUpdateForDistribution(people_known_distribution, r)
|
result := getUnnormalizedBayesianUpdateForDistribution(people_known_distribution, r)
|
||||||
fmt.Println(result)
|
fmt.Println(result)
|
||||||
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
Loading…
Reference in New Issue
Block a user