public class AffineTransformModel extends Object implements EstimatableModel<Point2d,Point2d>, MatrixTransformProvider
Modifier and Type | Field and Description |
---|---|
protected Predicate<AffineTransformModel> |
modelCheck |
protected Jama.Matrix |
transform |
Constructor and Description |
---|
AffineTransformModel()
Create an
AffineTransformModel |
AffineTransformModel(Predicate<AffineTransformModel> mc)
Create an
AffineTransformModel . |
Modifier and Type | Method and Description |
---|---|
AffineTransformModel |
clone()
Clone the model
|
boolean |
estimate(List<? extends IndependentPair<Point2d,Point2d>> data)
Estimates the model from the observations in the list of data.
|
Jama.Matrix |
getTransform() |
int |
numItemsToEstimate() |
Point2d |
predict(Point2d p)
Uses the model to predict dependent data from an independent value.
|
String |
toString() |
protected Predicate<AffineTransformModel> modelCheck
protected Jama.Matrix transform
public AffineTransformModel()
AffineTransformModel
public AffineTransformModel(Predicate<AffineTransformModel> mc)
AffineTransformModel
. The given Predicate
is
used by the estimate(List)
method to test whether the estimated
affine transform is sensible.mc
- the test function for sensible affine transformspublic AffineTransformModel clone()
EstimatableModel
public Jama.Matrix getTransform()
getTransform
in interface MatrixTransformProvider
public boolean estimate(List<? extends IndependentPair<Point2d,Point2d>> data)
EstimatableModel
EstimatableModel.numItemsToEstimate()
pairs of dependent
and independent data. It may contain more, in which case the estimate
method may choose to make use of this data for validation, or obtaining a
better model by a least squares method for example.estimate
in interface EstimatableModel<Point2d,Point2d>
data
- Data with which to estimate the modelEstimatableModel.numItemsToEstimate()
public Point2d predict(Point2d p)
Model
public int numItemsToEstimate()
numItemsToEstimate
in interface EstimatableModel<Point2d,Point2d>