Start » Filter Reference » Data Classification » Regression Analysis » QuadraticRegression_RANSAC
Module: | FoundationPro |
---|
Computes quadratic regression of given point set using RANSAC.
Name | Type | Range | Description | |
---|---|---|---|---|
![]() |
inYValues | RealArray | Sequence of ordinates | |
![]() |
inXValues | RealArray* | Sequence of abscissae, or {0, 1, 2, ...} by default | |
![]() |
inMaxOutlierCount | Integer* | 0 - ![]() |
Determines how many outlier points can be present to end the search |
![]() |
inMaxInlierDistance | Real | 0.0 - ![]() |
Distance from a parabola for point to be considered an inlier |
![]() |
inIterationCount | Integer* | 1 - ![]() |
Number of iterations; Auto means that all point triples will be used |
![]() |
outQuadraticFunction | QuadraticFunction | Quadratic 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 |
---|---|
DomainError | Inconsistent size of arrays in QuadraticRegression_RANSAC. |
Complexity Level
This filter is available on Expert Complexity Level.
Filter Group
This filter is member of QuadraticRegression filter group.