Start » Filter Reference » Data Classification » Regression Analysis » LinearRegression_RANSAC
Module: | FoundationPro |
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Computes linear regression of given point set using RANSAC.
Name | Type | Description | |
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inYValues | RealArray | Sequence of ordinates | |
inXValues | RealArray* | Sequence of abscissae, or {0, 1, 2, ...} by default | |
inMaxOutlierCount | Integer* | Determines how many outlier points can be present to end the search | |
inMaxInlierDistance | Real | Distance from a line for point to be considered an inlier | |
inIterationCount | Integer* | Number of iterations; Auto means that all point pairs will be used | |
outLinearFunction | LinearFunction | Linear function approximating the given point set | |
outEstimatedValues | RealArray | The result of application of the computed function to the X values | |
outResiduals | RealArray | Difference between an input Y value and the corresponding estimated value |
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
Error type | Description |
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DomainError | Inconsistent size of arrays in LinearRegression_RANSAC. |
Complexity Level
This filter is available on Expert Complexity Level.
Filter Group
This filter is member of LinearRegression filter group.