Function classifyXORData

src/dataset.ts:190–207

(numSamples: number, noise: number)

}

export function classifyXORData(numSamples: number, noise: number):
    Example2D[] {
  function getXORLabel(p: Point) { return p.x * p.y >= 0 ? 1 : -1; }

  let points: Example2D[] = [];
  for (let i = 0; i < numSamples; i++) {
    let x = randUniform(-5, 5);
    let padding = 0.3;
    x += x > 0 ? padding : -padding;  // Padding.
    let y = randUniform(-5, 5);
    y += y > 0 ? padding : -padding;
    let noiseX = randUniform(-5, 5) * noise;
    let noiseY = randUniform(-5, 5) * noise;
    let label = getXORLabel({x: x + noiseX, y: y + noiseY});
    points.push({x, y, label});
  }
  return points;
}

/**
 * Returns a sample from a uniform [a, b] distribution.