org.openimaj.ml.training

Interface IncrementalTrainer<T>

Type Parameters:

T - Type being trained on

All Known Implementing Classes:

AnnotatorFaceRecogniser, AudioAnnotator, EigenFaceRecogniser, FaceRecogniser, FeatureCachingIncrementalBatchAnnotator, FisherFaceRecogniser, IncrementalAnnotator, InstanceCachingIncrementalBatchAnnotator, KNNAnnotator, NaiveBayesAnnotator, NaiveBayesSentimentAnnotator

public interface IncrementalTrainer<T>

Interface describing objects capable of performing incremental training.

Author:

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

Method Summary

Modifier and Type	Method and Description
void	reset() Reset the object to its initial condition, as if it hasn't seen any training data.
void	train(Iterable<? extends T> data) Train the object with the given data.
void	train(T annotated) Train/update object using a new instance.

Method Detail

train

void train(Iterable<? extends T> data)

Train the object with the given data.

Parameters:

data - the training data

train

void train(T annotated)

Train/update object using a new instance.

Parameters:

annotated - instance to train with

reset

void reset()

Reset the object to its initial condition, as if it hasn't seen any training data.