org.openimaj.ml.annotation.linear

Class LinearSVMAnnotator<OBJECT,ANNOTATION>

java.lang.Object

org.openimaj.ml.annotation.AbstractAnnotator<OBJECT,ANNOTATION>

org.openimaj.ml.annotation.BatchAnnotator<OBJECT,ANNOTATION>

org.openimaj.ml.annotation.linear.LinearSVMAnnotator<OBJECT,ANNOTATION>

Type Parameters:

OBJECT - Type of object being annotated

ANNOTATION - Type of annotation

All Implemented Interfaces:

Classifier<ANNOTATION,OBJECT>, Annotator<OBJECT,ANNOTATION>, BatchTrainer<Annotated<OBJECT,ANNOTATION>>

public class LinearSVMAnnotator<OBJECT,ANNOTATION>
extends BatchAnnotator<OBJECT,ANNOTATION>

An Annotator based on a set of linear SVMs (one per annotation).

The SVMs use the PEGASOS algorithm implemented by the PrimalEstimatedSubGradient class.

Author:

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

Constructor Summary

Constructors

Constructor and Description
LinearSVMAnnotator(FeatureExtractor<? extends FeatureVector,OBJECT> extractor) Construct a new LinearSVMAnnotator with the given extractor.
LinearSVMAnnotator(FeatureExtractor<? extends FeatureVector,OBJECT> extractor, ANNOTATION negativeClass) Construct a new LinearSVMAnnotator with the given extractor and the specified negative class.

Method Summary

Methods

Modifier and Type	Method and Description
List<ScoredAnnotation<ANNOTATION>>	annotate(OBJECT object) Generate annotations for the given object.
Set<ANNOTATION>	getAnnotations()
void	train(List<? extends Annotated<OBJECT,ANNOTATION>> data) Train the object with the given data.

Methods inherited from class org.openimaj.ml.annotation.BatchAnnotator

train

Methods inherited from class org.openimaj.ml.annotation.AbstractAnnotator

classify

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LinearSVMAnnotator

public LinearSVMAnnotator(FeatureExtractor<? extends FeatureVector,OBJECT> extractor,
                  ANNOTATION negativeClass)

Construct a new LinearSVMAnnotator with the given extractor and the specified negative class. The negative class is excluded from the predicted annotations.

Parameters:

extractor - the extractor

negativeClass - the negative class to exclude from predictions

LinearSVMAnnotator

public LinearSVMAnnotator(FeatureExtractor<? extends FeatureVector,OBJECT> extractor)

Construct a new LinearSVMAnnotator with the given extractor.

Parameters:

extractor - the extractor

Method Detail

train

public void train(List<? extends Annotated<OBJECT,ANNOTATION>> data)

Description copied from interface: BatchTrainer

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

Parameters:

data - the training data

getAnnotations

public Set<ANNOTATION> getAnnotations()

Returns:

a Set of all annotations this Annotator knows about

annotate

public List<ScoredAnnotation<ANNOTATION>> annotate(OBJECT object)

Description copied from interface: Annotator

Generate annotations for the given object.

Parameters:

object - the image

Returns:

generated annotations