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Christophe Yamahata
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Sep 14, 2024
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Fork of Polynomial regression in JavaScript
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// Since this notebook focuses on Gaussian regression, adjusting the number of iterations is not a needed feature.
viewof iterations = Inputs.range([100, 2000], {value: 1000, step: 100, label: "Iterations"})
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// Define bounds for the parameters
Opt = {
return {
maxIter: iterations, // Optional
bounds: [
[-Infinity, Infinity], // Bounds for p[0]
[-Infinity, Infinity], // Bounds for p[1]
[0, Infinity], // Bounds for p[2]
],
};
};
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// Gaussian model
model = (x, p) => x.map(x_i => p[0] * Math.exp(-0.5 * Math.pow((x_i - p[1]) / p[2], 2)));
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