https://github.com/yamashou/elm

This is an implementation of the Extreme Learning Machine in Golang
https://github.com/yamashou/elm

go golang machine-learning

Last synced: about 1 month ago
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This is an implementation of the Extreme Learning Machine in Golang

• Host: GitHub
• URL: https://github.com/yamashou/elm
• Owner: Yamashou
• Created: 2017-11-15T18:48:04.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-03-17T02:36:21.000Z (almost 7 years ago)
• Last Synced: 2023-03-06T02:22:31.195Z (almost 2 years ago)
• Topics: go, golang, machine-learning
• Language: Go
• Homepage:
• Size: 43 KB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Extreme Learning Machine in Golang

This is an implementation of the Extreme Learning Machine in Golang.

For explanation of ELM please refer [here](http://www.ntu.edu.sg/home/egbhuang/)

# Example

This example does three classifications of iris.

Thist is most simple example.

```go

package main

import (

  "fmt"

  elm "github.com/Yamashou/elm"

)

func main() {

  // Read iris datas

  X := elm.Iris()

  //Split training data and test data

  trainingDataSet, testDataSet := elm.TrainTestSplit(X, 0.4, 4, 3)

  e := elm.ELM{}

  //Trainig

  e.Fit(&trainingDataSet, 10)

  // Evaluate the model

  fmt.Println(e.Score(&testDataSet))

  // Evaluation results on feature quantity

  fmt.Println(e.GetResult([]float64{7.0, 3.2, 4.7, 1.4})) // -> 2

}

```