The avatar for @christophe-yamahata
Christophe Yamahata
Public
Edited
Sep 14, 2024
Paused
Fork of Polynomial regression in JavaScript
Curves, Graphs and Diagrams
Critical Path Method (CPM)PERT-Based Monte Carlo Schedule AnalysisPie/Donut Chart (with draggable slices)Bar Chart Race with ImagesDonut/Pie Chart Race𒐬 Observable Plot with Contour LabelsCalque (tracing paper)On-line tool: CalqueSpline Editor (without bug)Spline Editor / Splice: Insert control points between existing onesClosest Point on Line: Solution with multiple control pointsLogarithmic and linear scale barsDraggable axis with arrowDraggable axes with arrowsNonlinear regression in JavaScriptNonlinear regression with bounds in JavaScript
Gaussian regression in JavaScript
Polynomial regression in JavaScript
Also listed in…
Mathematics
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
// 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"})
Insert cell
// 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]
],
};
};
Insert cell
// Gaussian model
model = (x, p) => x.map(x_i => p[0] * Math.exp(-0.5 * Math.pow((x_i - p[1]) / p[2], 2)));
Insert cell
Insert cell
Insert cell
Insert cell

Purpose-built for displays of data

Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
Learn more