Go 機器學習框架：GoLearn

GoLearn 是一款 Go 語言機器學習框架，示例代碼：

package main

import (
    "fmt"

"github.com/sjwhitworth/golearn/base"
"github.com/sjwhitworth/golearn/evaluation"
"github.com/sjwhitworth/golearn/knn"

)
func main() {
    // Load in a dataset, with headers. Header attributes will be stored.
    // Think of instances as a Data Frame structure in R or Pandas.
    // You can also create instances from scratch.
    rawData, err := base.ParseCSVToInstances("datasets/iris.csv", false)
    if err != nil {
        panic(err)
    }

// Print a pleasant summary of your data.
fmt.Println(rawData)

//Initialises a new KNN classifier
cls := knn.NewKnnClassifier("euclidean", 2)

//Do a training-test split
trainData, testData := base.InstancesTrainTestSplit(rawData, 0.50)
cls.Fit(trainData)

//Calculates the Euclidean distance and returns the most popular label
predictions := cls.Predict(testData)
fmt.Println(predictions)

// Prints precision/recall metrics
confusionMat, err := evaluation.GetConfusionMatrix(testData, predictions)
if err != nil {
    panic(fmt.Sprintf("Unable to get confusion matrix: %s", err.Error()))
}
fmt.Println(evaluation.GetSummary(confusionMat))

}</pre>

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