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

Method Summary

Modifier and Type	Method and 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.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.
java.util.List<java.lang.Integer>	predict(TimeSeriesDataset dataset) Performs predictions based on the given instances in the given dataset.
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

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.

Specified by:

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>