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31 lines
705 B
Go
31 lines
705 B
Go
package main
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import (
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"fmt"
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mat "github.com/skelterjohn/go.matrix"
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"golearn/data"
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util "golearn/utilities"
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)
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func main() {
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//Parses the infamous Iris data.
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cols, rows, _, labels, data := base.ParseCsv("datasets/iris.csv", 4, []int{0, 1, 2})
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//Initialises a new KNN classifier
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knn := knnclass.KNNClassifier{}
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knn.C
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knn.New("Testing", labels, data, rows, cols)
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for {
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//Creates a random array of N float64s between 0 and 7
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randArray := util.RandomArray(3, 7)
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//Initialises a vector with this array
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random := mat.MakeDenseMatrix(randArray, 1, 3)
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//Calculates the Euclidean distance and returns the most popular label
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labels, _ := knn.Predict(random, 3)
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fmt.Println(labels)
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}
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}
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