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main.go
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package main
import (
"encoding/csv"
"fmt"
"math"
"os"
"strconv"
)
const (
MONDAY = 1.0
TUESDAY = 2.0
WEDNESDAY = 3.0
THURSDAY = 4.0
FRIDAY = 5.0
SATURDAY = 6.0
SUNDAY = 7.0
)
var vehiclestrain []float64
var vehiclestest []float64
func main() {
c := NewClassifier()
c.setupData("trafficall1.csv")
initialTrend(vehiclestrain, 24)
initialSeasonalComponents(vehiclestrain, 168)
forecast := TripleExponentialSmoothing(vehiclestrain, 168, 0.716, 0.029, 0.993, 24)
acc := 0.0
for i := 0; i < len(vehiclestest); i++ {
fmt.Println("prediksi: ", forecast[i], "test :", vehiclestest[i])
acc += math.Abs(forecast[i] - vehiclestest[i])
}
fmt.Println("prediksi jam 8: ", forecast[7])
fmt.Println("error:", acc/float64(len(vehiclestest)))
fmt.Println("comparing")
fmt.Println("Sum monday : ", c.avg("vehicles", MONDAY))
fmt.Println("Sum tuesday : ", c.avg("vehicles", TUESDAY))
fmt.Println("Sum wednesday : ", c.avg("vehicles", WEDNESDAY))
fmt.Println("Sum thursday : ", c.avg("vehicles", THURSDAY))
fmt.Println("Sum friday : ", c.avg("vehicles", FRIDAY))
fmt.Println("Sum saturday : ", c.avg("vehicles", SATURDAY))
fmt.Println("Sum monday : ", c.avg("vehicles", SUNDAY))
}
func (c *Classifier) setupData(file string) {
f, err := os.Open(file)
if err != nil {
return
}
csvReader := csv.NewReader(f)
csvData, err := csvReader.ReadAll()
for i := 1; i < len(csvData); i++ {
days := MONDAY
switch csvData[i][4] {
case "Monday":
days = MONDAY
break
case "Tuesday":
days = TUESDAY
break
case "Wednesday":
days = WEDNESDAY
break
case "Thursday":
days = THURSDAY
break
case "Friday":
days = FRIDAY
break
case "Saturday":
days = SATURDAY
break
case "Sunday":
days = SUNDAY
break
}
val, _ := strconv.ParseFloat(csvData[i][2], 64)
//don't split randomly
if i < len(csvData)-24 {
vehiclestrain = append(vehiclestrain, val)
c.addDataTrain(Condition{
"vehicles": val,
"days": days,
})
} else {
vehiclestest = append(vehiclestest, val)
c.addDataTest(Condition{
"vehicles": val,
"days": days,
})
}
}
}