内容简介：Checkout the
MIDAS
MIDAS - edge stream anomaly detection - for Go
Usage and installation
Checkout the examples
folder for detailed instructions
import (
"github.com/steve0hh/midas"
"fmt"
)
func main () {
src := []int{2,2,3,3,5,5,7,11,1,2}
dst := []int{3,3,4,4,9,9,73,74,75,76}
times := []int{1,1,2,2,2,2,2,2,2,2}
// using function to score the edges
midasAnormScore := midas.Midas(src, dst, times, 2, 769)
midasRAnormScore := midas.MidasR(src, dst, times, 2, 769, 0.6)
fmt.Println(midasAnormScore)
fmt.Println(midasRAnormScore)
// using sklearn FitPredict api
m := midas.NewMidasModel(2, 769, 9460)
fmt.Println(m.FitPredict(2,3,1))
fmt.Println(m.FitPredict(2,3,1))
fmt.Println(m.FitPredict(3,4,2))
}
Resources
Contributing
Everyone is encouraged to help improve this project. Here are a few ways you can help:
- Report bugs
- Fix bugs and submit pull requests
- Write, clarify, or fix documentation
- Suggest or add new features
TODOs
以上所述就是小编给大家介绍的《Midas, a Streaming Anomaly Detector. Now Implemented in Go》，希望对大家有所帮助，如果大家有任何疑问请给我留言，小编会及时回复大家的。在此也非常感谢大家对 码农网 的支持！
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