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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 ( IList<float> inYValues, AvlNet.MEstimator inOutlierSuppression, float inClippingFactor, int inIterationCount, out AvlNet.LinearFunction outLinearFunction, IList<float> outEstimatedValues, IList<float> outResiduals )
Parameters
Name | Type | Range | Default | Description | |
---|---|---|---|---|---|
inYValues | System.Collections.Generic.IList<float> | Sequence of ordinates. | |||
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. | |
outLinearFunction | AvlNet.LinearFunction | Linear function approximating the given point set. | |||
outEstimatedValues | System.Collections.Generic.IList<float> | The result of application of the computed function to the X values. | |||
outResiduals | System.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 LinearRegression_M. |