TrainingSelector

java.lang.Object

whistleClassifier.training.TrainingSelector

Direct Known Subclasses:: SequentialTrainingSelector

public abstract class TrainingSelector extends Object

Class containing functions to randomly select suitable groups of training and test data from a TrainingDataCollection

Author:

Doug Gillespie

See Also:

Constructor Summary

Constructors

Constructor

Description

TrainingSelector()
Method Summary

Modifier and Type

Method

Description

int

getNumSpecies()

abstract int

getNumTestSets()

double[][]

getParameterArray(int testTrainSet)

Get a parameter array for feeding straight into the classifier for either the training set or the test set.

int

getTotalFragments(int iSpecies, double minFreq, double maxFreq, int minContourLength)

TrainingDataCollection

getTrainingDataCollection()

get the training data collection

WhistleFragmenter

getWhistleFragmenter()

Get the whistle fragmenter

void

setTrainingDataCollection(TrainingDataCollection trainingDataCollection)

Sets the training data collection

void

setWhistleFragmenter(WhistleFragmenter whistleFragmenter)

Set the whistle fragmenter to use.

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details
- TrainingSelector
  
  public TrainingSelector()
Method Details
- setTrainingDataCollection
  
  public void setTrainingDataCollection(TrainingDataCollection trainingDataCollection)
  
  Sets the training data collection
  
  Parameters:
  
  trainingDataCollection - training data
- getTrainingDataCollection
  
  public TrainingDataCollection getTrainingDataCollection()
  
  get the training data collection
  
  Returns:
  
  training data collection
- setWhistleFragmenter
  
  public void setWhistleFragmenter(WhistleFragmenter whistleFragmenter)
  
  Set the whistle fragmenter to use.
  
  Parameters:
  
  whistleFragmenter - whistle fragmenter
- getWhistleFragmenter
  
  public WhistleFragmenter getWhistleFragmenter()
  
  Get the whistle fragmenter
  
  Returns:
  
  fragmenter
- getNumSpecies
  
  public int getNumSpecies()
  
  Returns:
- getNumTestSets
  
  public abstract int getNumTestSets()
- getTotalFragments
  
  public int getTotalFragments(int iSpecies, double minFreq, double maxFreq, int minContourLength)
- getParameterArray
  
  public double[][] getParameterArray(int testTrainSet)
  
  Get a parameter array for feeding straight into the classifier for either the training set or the test set.
  
  Parameters:
  
  testTrainSet - index o set: 0 = training; 1 - n = test.