org.openimaj.math.model.fit

Interface ModelFitting<I,D,M extends Model<I,D>>

Type Parameters:

I - type of independent data

D - type of dependent data

M - concrete type of model learned

All Known Subinterfaces:

RobustModelFitting<I,D,M>

All Known Implementing Classes:

LMedS, RANSAC, RobustAffineTransformEstimator, RobustFundamentalEstimator, RobustHomographyEstimator, SimpleModelFitting

public interface ModelFitting<I,D,M extends Model<I,D>>

An interface that describes an object capable of fitting data to a model in a more generic way than through the Model's estimate method.

Author:

Jonathon Hare

Method Summary

Modifier and Type	Method and Description
boolean	fitData(List<? extends IndependentPair<I,D>> data) Attempt to fit the given data to the model.
M	getModel()
int	numItemsToEstimate()

Method Detail

fitData

boolean fitData(List<? extends IndependentPair<I,D>> data)

Attempt to fit the given data to the model.

Parameters:

data - Data to be fitted

Returns:

true on success, false otherwise

numItemsToEstimate

int numItemsToEstimate()

Returns:

The minimum number of observations required to estimate the model.

getModel

M getModel()

Returns:

the trained model object