(numSamples: number, noise: number)
| 73 | } |
| 74 | |
| 75 | export function regressPlane(numSamples: number, noise: number): |
| 76 | Example2D[] { |
| 77 | let radius = 6; |
| 78 | let labelScale = d3.scale.linear() |
| 79 | .domain([-10, 10]) |
| 80 | .range([-1, 1]); |
| 81 | let getLabel = (x, y) => labelScale(x + y); |
| 82 | |
| 83 | let points: Example2D[] = []; |
| 84 | for (let i = 0; i < numSamples; i++) { |
| 85 | let x = randUniform(-radius, radius); |
| 86 | let y = randUniform(-radius, radius); |
| 87 | let noiseX = randUniform(-radius, radius) * noise; |
| 88 | let noiseY = randUniform(-radius, radius) * noise; |
| 89 | let label = getLabel(x + noiseX, y + noiseY); |
| 90 | points.push({x, y, label}); |
| 91 | } |
| 92 | return points; |
| 93 | } |
| 94 | |
| 95 | export function regressGaussian(numSamples: number, noise: number): |
| 96 | Example2D[] { |
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