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Computes linear regression of given point set using selected M-estimator for outlier suppression.
Namespace: | AvlNet |
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Assembly: | AVL.NET.dll |
Syntax
C++
C#
public static void LinearRegression_M ( float[] inYValues, float[] inXValues, AvlNet.MEstimator inOutlierSuppression, float inClippingFactor, int inIterationCount, AvlNet.LinearFunction? inInitialLinearFunction, out AvlNet.LinearFunction outLinearFunction, out float[] outEstimatedValues, out float[] outResiduals )
Parameters
Name | Type | Range | Default | Description | |
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![]() | inYValues | float[] | Sequence of ordinates. | ||
![]() | inXValues | float[] | Sequence of abscissae, or {0, 1, 2, ...} by default. Default value: atl::NIL, or null. | ||
![]() | inOutlierSuppression | AvlNet.MEstimator | |||
![]() | inClippingFactor | float | <0.675f, 6.0f> | 2.5f | Multitude of standard deviation within which points are considered inliers. Default value: 2.5f. |
![]() | inIterationCount | int | <0, INF> | 5 | Number of iterations of outlier suppressing algorithm. Default value: 5. |
![]() | inInitialLinearFunction | AvlNet.LinearFunction? | Initial approximation of the output linear function (if available). Default value: atl::NIL, or null. | ||
![]() | outLinearFunction | AvlNet.LinearFunction | Linear function approximating the given point set. | ||
![]() | outEstimatedValues | float[] | The result of application of the computed function to the X values. | ||
![]() | outResiduals | float[] | Difference between an input Y value and the corresponding estimated value. |
Errors
Error type | Description |
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DomainError | Inconsistent size of arrays in LinearRegression_M. |