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FIL.QuadraticRegression_M

Computes quadratic regression of given point set using selected M-estimator for outlier suppression.

Namespace:FilNet
Assembly:FIL.NET.dll

Syntax

C++
C#
 
public static void QuadraticRegression_M
(
	IList<float> inYValues,
	NullableRef<IList<float>> inXValues,
	FilNet.MEstimator inOutlierSuppression,
	float inClippingFactor,
	int inIterationCount,
	FilNet.QuadraticFunction? inInitialQuadraticFunction,
	out FilNet.QuadraticFunction outQuadraticFunction,
	IList<float> outEstimatedValues,
	IList<float> outResiduals
)

Parameters

Name Type Range Default Description
inYValuesSystem.Collections.Generic.IList<float>Sequence of ordinates.
inXValuesFilNet.NullableRef<System.Collections.Generic.IList<float>>Sequence of abscissae, or {0, 1, 2, ...} by default. Default value: ftl::NIL.
inOutlierSuppressionFilNet.MEstimator
inClippingFactorfloat<0.675f, 6.0f>2.5fMultitude of standard deviation within which points are considered inliers. Default value: 2.5f.
inIterationCountint<0, INF>5Number of iterations of outlier suppressing algorithm. Default value: 5.
inInitialQuadraticFunctionFilNet.QuadraticFunction?Initial approximation of the output quadratic function (if available). Default value: ftl::NIL.
outQuadraticFunctionFilNet.QuadraticFunctionQuadratic function approximating the given point set.
outEstimatedValuesSystem.Collections.Generic.IList<float>The result of application of the computed function to the X values.
outResidualsSystem.Collections.Generic.IList<float>Difference between an input Y value and the corresponding estimated value.

Errors

List of possible exceptions:

Error type Description
DomainError Inconsistent size of arrays in QuadraticRegression_M.

Function Overrides

See also