Package ai.libs.jaicore.ml.tsc.classifier

Class BOSSClassifier

java.lang.Object

ai.libs.jaicore.ml.tsc.classifier.ASimplifiedTSClassifier<java.lang.Integer>

ai.libs.jaicore.ml.tsc.classifier.BOSSClassifier

public class BOSSClassifier
extends ASimplifiedTSClassifier<java.lang.Integer>

Field Summary

Fields inherited from class ai.libs.jaicore.ml.tsc.classifier.ASimplifiedTSClassifier

classMapper, trained

Constructor Summary

Constructors

Constructor	Description
BOSSClassifier(int windowLength, int alphabetSize, double[] alphabet, int wordLength, boolean meanCorrected)
BOSSClassifier(BOSSLearningAlgorithm.IBossAlgorithmConfig config)

Method Summary

Modifier and Type	Method	Description
BOSSLearningAlgorithm	getLearningAlgorithm(TimeSeriesDataset dataset)
java.util.List<java.util.Map<java.lang.Integer,java.lang.Integer>>	getUnivirateHistograms()
java.lang.Integer	predict(double[] univInstance)	Performs a prediction based on the given univariate double[] instance representation and returns the result.
java.util.List<java.lang.Integer>	predict(TimeSeriesDataset dataset)	Performs predictions based on the given instances in the given dataset.
java.lang.Integer	predict(java.util.List<double[]> multivInstance)	Performs a prediction based on the given multivariate list of double[] instance representation and returns the result.
void	setHistogramUnivirate(java.util.List<java.util.Map<java.lang.Integer,java.lang.Integer>> histograms)
void	setTrainingData(TimeSeriesDataset trainingData)

Methods inherited from class ai.libs.jaicore.ml.tsc.classifier.ASimplifiedTSClassifier

checkWhetherPredictionIsPossible, getClassMapper, isTrained, setClassMapper, train

Methods inherited from class java.lang.Object

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

Constructor Detail

BOSSClassifier

public BOSSClassifier(int windowLength,
                      int alphabetSize,
                      double[] alphabet,
                      int wordLength,
                      boolean meanCorrected)

BOSSClassifier

public BOSSClassifier(BOSSLearningAlgorithm.IBossAlgorithmConfig config)

Method Detail

getUnivirateHistograms

public java.util.List<java.util.Map<java.lang.Integer,java.lang.Integer>> getUnivirateHistograms()

setTrainingData

public void setTrainingData(TimeSeriesDataset trainingData)

setHistogramUnivirate

public void setHistogramUnivirate(java.util.List<java.util.Map<java.lang.Integer,java.lang.Integer>> histograms)

predict

public java.lang.Integer predict(double[] univInstance)
                          throws PredictionException

Description copied from class: ASimplifiedTSClassifier

Performs a prediction based on the given univariate double[] instance representation and returns the result.

Specified by:

predict in class ASimplifiedTSClassifier<java.lang.Integer>

Parameters:

univInstance - Univariate instance given by a double vector of time series values used for the prediction

Returns:

Returns the result of the prediction

Throws:

PredictionException - If something fails during the prediction process.

predict

public java.lang.Integer predict(java.util.List<double[]> multivInstance)
                          throws PredictionException

Description copied from class: ASimplifiedTSClassifier

Performs a prediction based on the given multivariate list of double[] instance representation and returns the result.

Overrides:

predict in class ASimplifiedTSClassifier<java.lang.Integer>

Parameters:

multivInstance - Multivariate instance given by a list of multiple double[] time series used for the prediction

Returns:

Returns the result of the prediction

Throws:

PredictionException - If something fails during the prediction process.

predict

public java.util.List<java.lang.Integer> predict(TimeSeriesDataset dataset)
                                          throws PredictionException

Description copied from class: ASimplifiedTSClassifier

Performs predictions based on the given instances in the given dataset.

Specified by:

predict in class ASimplifiedTSClassifier<java.lang.Integer>

Parameters:

dataset - The TimeSeriesDataset for which predictions should be made.

Returns:

Returns the result of the predictions

Throws:

PredictionException - If something fails during the prediction process

getLearningAlgorithm

public BOSSLearningAlgorithm getLearningAlgorithm(TimeSeriesDataset dataset)

Specified by:

getLearningAlgorithm in class ASimplifiedTSClassifier<java.lang.Integer>