Package whistleClassifier.training
Class PairedSequentialTrainingSelector
java.lang.Object
whistleClassifier.training.TrainingSelector
whistleClassifier.training.SequentialTrainingSelector
whistleClassifier.training.PairedSequentialTrainingSelector
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Constructor Summary
Constructors - 
Method Summary
Modifier and TypeMethodDescriptionprotected 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.intMethods inherited from class whistleClassifier.training.SequentialTrainingSelector
createSectionsMethods inherited from class whistleClassifier.training.TrainingSelector
getNumSpecies, getParameterArray, getTotalFragments, getTrainingDataCollection, getWhistleFragmenter, setTrainingDataCollection, setWhistleFragmenter 
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Constructor Details
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PairedSequentialTrainingSelector
public PairedSequentialTrainingSelector() 
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Method Details
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createTrainingSection
protected int[] createTrainingSection(TrainingDataGroup trainingDataGroup, double trainingFraction, int sectionLength, double minFreq, double maxFreq, int minContourLength) Description copied from class:SequentialTrainingSelectorCreate a training and a test data selection, randomly selected from within the data for a single species.- Overrides:
 createTrainingSectionin classSequentialTrainingSelector- 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.
 
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getNumTestSets
public int getNumTestSets()- Overrides:
 getNumTestSetsin classSequentialTrainingSelector
 
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