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Computes linear regression of given point set using RANSAC.
Namespace: | AvlNet |
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Assembly: | AVL.NET.dll |
Syntax
C++
C#
public static void LinearRegression_RANSAC ( float[] inYValues, float[] inXValues, int? inMaxOutlierCount, float inMaxInlierDistance, int? inIterationCount, 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. | ||
![]() | inMaxOutlierCount | int? | Determines how many outlier points can be present to end the search. Default value: atl::NIL, or null. | ||
![]() | inMaxInlierDistance | float | Distance from a line for point to be considered an inlier. | ||
![]() | inIterationCount | int? | Number of iterations; Auto means that all point pairs will be used. 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_RANSAC. |