Package whistleClassifier.training

Class SequentialTrainingSelector

java.lang.Object

whistleClassifier.training.TrainingSelector

whistleClassifier.training.SequentialTrainingSelector

Direct Known Subclasses:

PairedSequentialTrainingSelector

public class SequentialTrainingSelector
extends TrainingSelector

Selects groups of fragments into training / test groups simply by concatenating all the files together from some random start point.

Author:

Doug Gillespie

Constructor Summary

Constructors

Constructor	Description
SequentialTrainingSelector()

Method Summary

Modifier and Type	Method	Description
int[]	createSections(int iSpecies, double trainingFraction, int sectionLength, double minFreq, double maxFreq, int minContourLength)
protected int[]	createTrainingSection(TrainingDataGroup trainingDataGroup, double trainingFraction, int sectionLength, double minFreq, double maxFreq, int minContourLength)	Create a training and a test data selection, randomly selected from within the data for a single species.
int	getNumTestSets()

Methods inherited from class whistleClassifier.training.TrainingSelector

getNumSpecies, getParameterArray, getTotalFragments, getTrainingDataCollection, getWhistleFragmenter, setTrainingDataCollection, setWhistleFragmenter

Methods inherited from class java.lang.Object

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

Constructor Details

SequentialTrainingSelector

public SequentialTrainingSelector()

Method Details

createSections

public int[] createSections(int iSpecies,
 double trainingFraction,
 int sectionLength,
 double minFreq,
 double maxFreq,
 int minContourLength)

createTrainingSection

protected int[] createTrainingSection(TrainingDataGroup trainingDataGroup,
 double trainingFraction,
 int sectionLength,
 double minFreq,
 double maxFreq,
 int minContourLength)

Create a training and a test data selection, randomly selected from within the data for a single species.

Parameters:

trainingDataGroup - data group (one per species)

trainingFraction - fraction of the data to use.

sectionLength - number of fragments in a classification group

Returns:

2 element int array of the number of fragments in the training and in the test sections.

getNumTestSets

public int getNumTestSets()

Specified by:

getNumTestSets in class TrainingSelector