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LinearRegression_M
This is Filter Equivalent. This function may be present in generated code, but should not be used in hand-written code.
Computes linear regression of given point set using selected M-estimator for outlier suppression.
Syntax
void avl::LinearRegression_M ( const atl::Array<float>& inYValues, const atl::Optional<atl::Array<float> >& inXValues, avl::MEstimator::Type inOutlierSuppression, float inClippingFactor, int inIterationCount, atl::Optional<const avl::LinearFunction&> inInitialLinearFunction, avl::LinearFunction& outLinearFunction, atl::Array<float>& outEstimatedValues, atl::Array<float>& outResiduals )
Parameters
Name | Type | Range | Default | Description | |
---|---|---|---|---|---|
inYValues | const Array<float>& | Sequence of ordinates | |||
inXValues | const Optional<Array<float> >& | NIL | Sequence of abscissae, or {0, 1, 2, ...} by default | ||
inOutlierSuppression | MEstimator::Type | ||||
inClippingFactor | float | 0.675 - 6.0 | 2.5f | Multitude of standard deviation within which points are considered inliers | |
inIterationCount | int | 0 - | 5 | Number of iterations of outlier suppressing algorithm | |
inInitialLinearFunction | Optional<const LinearFunction&> | NIL | Initial approximation of the output linear function (if available) | ||
outLinearFunction | LinearFunction& | Linear function approximating the given point set | |||
outEstimatedValues | Array<float>& | The result of application of the computed function to the X values | |||
outResiduals | Array<float>& | Difference between an input Y value and the corresponding estimated value |
Errors
Error type | Description |
---|---|
DomainError | Inconsistent size of arrays in LinearRegression_M. |