protected OnlinePearsonsRCalculator(OnlinePearsonsRCalculator original, Cloner cloner)
: base(original, cloner)
{
covCalculator = cloner.Clone(original.covCalculator);
sxCalculator = cloner.Clone(original.sxCalculator);
syCalculator = cloner.Clone(original.syCalculator);
}
public static double Calculate(IEnumerable <double> first, IEnumerable <double> second, out OnlineCalculatorError errorState)
{
IEnumerator <double> firstEnumerator = first.GetEnumerator();
IEnumerator <double> secondEnumerator = second.GetEnumerator();
OnlineCovarianceCalculator covarianceCalculator = new OnlineCovarianceCalculator();
// always move forward both enumerators (do not use short-circuit evaluation!)
while (firstEnumerator.MoveNext() & secondEnumerator.MoveNext())
{
double x = secondEnumerator.Current;
double y = firstEnumerator.Current;
covarianceCalculator.Add(x, y);
if (covarianceCalculator.ErrorState != OnlineCalculatorError.None)
{
break;
}
}
// check if both enumerators are at the end to make sure both enumerations have the same length
if (covarianceCalculator.ErrorState == OnlineCalculatorError.None &&
(secondEnumerator.MoveNext() || firstEnumerator.MoveNext()))
{
throw new ArgumentException("Number of elements in first and second enumeration doesn't match.");
}
else
{
errorState = covarianceCalculator.ErrorState;
return(covarianceCalculator.Covariance);
}
}
public OnlineLinearScalingParameterCalculator()
{
targetMeanCalculator = new OnlineMeanAndVarianceCalculator();
originalMeanAndVarianceCalculator = new OnlineMeanAndVarianceCalculator();
originalTargetCovarianceCalculator = new OnlineCovarianceCalculator();
Reset();
}
protected OnlineLinearScalingParameterCalculator(OnlineLinearScalingParameterCalculator original, Cloner cloner)
: base(original, cloner)
{
targetMeanCalculator = cloner.Clone(original.targetMeanCalculator);
originalMeanAndVarianceCalculator = cloner.Clone(original.originalMeanAndVarianceCalculator);
originalTargetCovarianceCalculator = cloner.Clone(original.originalTargetCovarianceCalculator);
// do not reset the calculators here
}
protected OnlineCovarianceCalculator(OnlineCovarianceCalculator original, Cloner cloner)
: base(original, cloner)
{
Cn = original.Cn;
xMean = original.xMean;
yMean = original.yMean;
n = original.n;
errorState = original.errorState;
}
public static double Calculate(IEnumerable<double> first, IEnumerable<double> second, out OnlineCalculatorError errorState) {
IEnumerator<double> firstEnumerator = first.GetEnumerator();
IEnumerator<double> secondEnumerator = second.GetEnumerator();
OnlineCovarianceCalculator covarianceCalculator = new OnlineCovarianceCalculator();
// always move forward both enumerators (do not use short-circuit evaluation!)
while (firstEnumerator.MoveNext() & secondEnumerator.MoveNext()) {
double x = secondEnumerator.Current;
double y = firstEnumerator.Current;
covarianceCalculator.Add(x, y);
if (covarianceCalculator.ErrorState != OnlineCalculatorError.None) break;
}
// check if both enumerators are at the end to make sure both enumerations have the same length
if (covarianceCalculator.ErrorState == OnlineCalculatorError.None &&
(secondEnumerator.MoveNext() || firstEnumerator.MoveNext())) {
throw new ArgumentException("Number of elements in first and second enumeration doesn't match.");
} else {
errorState = covarianceCalculator.ErrorState;
return covarianceCalculator.Covariance;
}
}
public OnlineLinearScalingParameterCalculator() {
targetMeanCalculator = new OnlineMeanAndVarianceCalculator();
originalMeanAndVarianceCalculator = new OnlineMeanAndVarianceCalculator();
originalTargetCovarianceCalculator = new OnlineCovarianceCalculator();
Reset();
}
