Midas, a Streaming Anomaly Detector. Now Implemented in Go

MIDAS

MIDAS - edge stream anomaly detection - for Go

Usage and installation

Read the docs

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

• MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

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