org.openimaj.ml.training

Interface BatchTrainer<T>

Type Parameters:

T - Type of object being trained upon

All Known Implementing Classes:

BatchAnnotator, DenseLinearTransformAnnotator, EigenFaceFeature.Extractor, EigenImages, FisherFaceFeature.Extractor, FisherImages, IndependentPriorRandomAnnotator, LiblinearAnnotator, LinearSVMAnnotator, ModelAnnotator, SVMAnnotator, UniformRandomAnnotator

public interface BatchTrainer<T>

Interface describing objects capable of performing training in "batch" mode; all training examples are presented at once. Calling the train(List) method more than once will cause the internal model to be re-initialised using the new data. If you want to implement an object that can be updated, implement the IncrementalTrainer interface instead.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Method Summary

Methods

Modifier and Type	Method and Description
void	train(List<? extends T> data) Train the object with the given data.

Method Detail

train

void train(List<? extends T> data)

Train the object with the given data. BatchTrainers should reset the underlying model everytime this method is called.

Parameters:

data - the training data