Hello mljs/knn / Fil

Fil

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Sep 14, 2022

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Hello

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Hello mljs/knn

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ml = require("https://www.lactame.com/lib/ml/2.2.0/ml.min.js")

KNN = ml.SL.KNN.default

dataset = require("@observablehq/iris")

data = dataset.map(d => [

d.sepalLength,

d.sepalWidth,

d.petalLength,

d.petalWidth

])

labels = dataset.map(d => d.species)

// A function to select at random n out of the 150 data points as training set

pick = {

const p = Array.from({ length: dataset.length }).fill(false);

for (let i = 0; i < learn_samples; i++) p[i] = true;

p.sort(_ => Math.random() - 1 / 2);

return function(d, i) {

return p[i];

};

}

predict = new KNN(data.filter(pick), labels.filter(pick), {

// distance: …,

k: 5

})

predict.predict([3.3, 2.3, 4, 1.5])

error_rate =

data

.map((d, i) => predict.predict(d) !== labels[i])

.reduce((a, b) => a + b, 0) / data.length

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