Package org.ddogleg.fitting.modelset

Interface Summary

Interface	Description
DistanceFromModel<Model,Point>	Computes the distance a sample point is from the provided model.
ModelCodec<T>	Used to convert a model to and from an array parameterized format.
ModelFitter<Model,Point>	Computes a model from a set of points and optionally an initial estimate.
ModelGenerator<Model,Point>	Given a set of points create a model hypothesis.
ModelManager<Model>	Can be used to create new instances of a model and copy the value of one model into another
ModelMatcher<Model,Point>	Given a set of points and it finds a set of model parameters which fit the data robustly.
ModelMatcherMulti<Point>	Given a set of points and a set of models, it selects which model and model parameters best fits the points robustly.

Class Summary

Class	Description
BenchmarkModelManager
BenchmarkModelManager.Data
BenchmarkModelManager.Specialized
DoNothingModelFitter	Claims to fit a model but really doesn't
DoubleArrayManager
GenericModelMatcherMultiTests	Generic tests for implementations of ModelMatcherMulti.
GenericModelMatcherMultiTests.ModelInfo
GenericModelMatcherTests	A series of tests are provided that test to see the provided model set algorithm has the expected behavior.
MeanModelFitter	Computes the mean of a set of points.
ModelManagerDefault<T>	Default model manager.
MultipleToSingle	Converts a ModelMatcherMulti into a ModelMatcher for testing purposes.
RandomDistanceModel	Returns a random distance
TestModelManagerDefault
TestModelManagerDefault.Dummy