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LinearRegression_RANSAC

Computes linear regression of given point set using RANSAC.

Syntax

void avl::LinearRegression_RANSAC
(
	const atl::Array<float>& inYValues,
	const atl::Optional<atl::Array<float> >& inXValues,
	atl::Optional<int> inMaxOutlierCount,
	float inMaxInlierDistance,
	atl::Optional<int> inIterationCount,
	avl::LinearFunction& outLinearFunction,
	atl::Array<float>& outEstimatedValues,
	atl::Array<float>& outResiduals
)

void LinearRegression_RANSAC
(
	float[] inYValues,
	float[] inXValues,
	int? inMaxOutlierCount,
	float inMaxInlierDistance,
	int? inIterationCount,
	out LinearFunction outLinearFunction,
	out float[] outEstimatedValues,
	out float[] outResiduals
)

Parameters

Name	Type	Default	Description
inYValues	const Array<float>&		Sequence of ordinates
inXValues	const Optional<Array<float> >&	NIL	Sequence of abscissae, or {0, 1, 2, ...} by default
inMaxOutlierCount	Optional<int>	NIL	Determines how many outlier points can be present to end the search
inMaxInlierDistance	float		Distance from a line for point to be considered an inlier
inIterationCount	Optional<int>	NIL	Number of iterations; Auto means that all point pairs will be used
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_RANSAC.