Kernel Density Estimation Example

Overview


The following example using kernel density estimation to estimate a sine curve from a number of noisy obesrvations.

Code



let dn = await import('/lib/machine-learning/kernel/v1.0.0/density.mjs');
let kl = await import('/lib/machine-learning/kernel/v1.0.0/kernel.mjs');

let data = $from(1,10,100).map(p=>{
  return {
    x:p,
    y:Math.sin(p)+0.1*Math.random()
  }
});

kernel = kl.epanechnikov(0.5);
let estimator = dn.estimator(data.map(p=>[p.x,p.y]), kernel);

let test = estimator(5);
Try it!


The following shows the estimator of the noisy sine curve example above.

copy

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