public PolynomialLeastSquares(Behaviors.PointSelector.CompressedPointSelectorWrapper selector)
: base(selector)
{
_coefs = MathNet.Numerics.Fit.Polynomial(selector.Select(x => (double)x.Value).ToArray(), selector.Select(x => (double)x.Rcs).ToArray(),
selector.Count() - 1);
}
public LinearLeastSquares(Behaviors.PointSelector.CompressedPointSelectorWrapper selector) : base(selector)
{
var points = selector.Select(x => new PointF(x.Value, x.Rcs));
//var ps = MathNet.Numerics.Fit.Polynomial(selector.Select(x => (double)x.Value).ToArray(), selector.Select(x => (double)x.Rcs).ToArray(),
// selector.Count(), MathNet.Numerics.LinearRegression.DirectRegressionMethod.NormalEquations);
//var p = MathNet.Numerics.LinearRegression.SimpleRegression.Fit(selector.Select(x => (double)x.Value).ToArray(), selector.Select(x => (double)x.Rcs).ToArray());
_slope = SlopeOfPoints(points); //(float)p.Item2;
_yIntercept = YInterceptOfPoints(points, _slope); //(float)p.Item1;
}
public IAnimatedBehavior Remapping(Dictionary <QualifiedAnimation, AnimationClip> remapping, Dictionary <BlendTree, BlendTree> blendRemapping)
{
return(new ComplexMassiveBlendAnimatedBehavior(Behaviors.Select(behavior => behavior.Remapping(remapping, blendRemapping)).ToList(), OriginalBlendTreeTemplate));
}
