How to use

FitByMeanStatistics

in

org.ddogleg.fitting.modelset.distance

@Override
public void computeStatistics() {
  computeMean();
  computeStandardDeviation();
}

  @Test
  public void metric_and_prune() {
    LinkedList<PointIndex<Double>> inliers = new LinkedList<PointIndex<Double>>();

    for (int i = 0; i < 200; i++) {
      inliers.add(new PointIndex<Double>((double) i,i));
    }

    // randomize the inputs
    Collections.shuffle(inliers,rand);

    FitByMeanStatistics<double[],Double> fit = new FitByMeanStatistics<double[],Double>(1);

    fit.init(new DistanceFromMeanModel(), inliers);

    fit.computeStatistics();

    assertEquals(99.5, fit.getErrorMetric(), 1e-8);

    fit.prune();

    assertEquals(158, inliers.size());
  }
}

errorAlg = new FitByMeanStatistics<Model,Point>(pruneThreshold);
break;

errorAlg = new FitByMeanStatistics<Model,Point>(pruneThreshold);
break;

@Override
public void computeStatistics() {
  computeMean();
  computeStandardDeviation();
}