ai.libs.jaicore.ml.tsc.classifier.trees

Class TimeSeriesForestClassifier

java.lang.Object

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

ai.libs.jaicore.ml.tsc.classifier.trees.TimeSeriesForestClassifier

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

Time series forest classifier as described in Deng, Houtao et al. "A Time Series Forest for Classification and Feature Extraction." Inf. Sci. 239 (2013): 142-153. Consists of mutliple TimeSeriesTreeClassifier classifier. This classifier only supports univariate time series prediction.

Field Summary

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

classMapper, trained

Constructor Summary

Constructors

Constructor and Description
TimeSeriesForestClassifier() Constructing an untrained ensemble of time series trees.
TimeSeriesForestClassifier(TimeSeriesForestLearningAlgorithm.ITimeSeriesForestConfig config) Constructing an untrained ensemble of time series trees.

Method Summary

Modifier and Type	Method and Description
TimeSeriesForestLearningAlgorithm	getLearningAlgorithm(TimeSeriesDataset dataset)
TimeSeriesTreeClassifier[]	getTrees() Getter for the time series trees.
java.lang.Integer	predict(double[] univInstance) Predicts the class of the given instance by taking the majority vote of all trees.
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	setFeatureCaching(boolean enableFeatureCaching)
void	setMaxDepth(int maxDepth)
void	setNumberOfTrees(int numTrees)
void	setSeed(int seed)
void	setTrees(TimeSeriesTreeClassifier[] trees) Setter for the time series trees.

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

TimeSeriesForestClassifier

public TimeSeriesForestClassifier()

Constructing an untrained ensemble of time series trees.

TimeSeriesForestClassifier

public TimeSeriesForestClassifier(TimeSeriesForestLearningAlgorithm.ITimeSeriesForestConfig config)

Constructing an untrained ensemble of time series trees.

Method Detail

setNumberOfTrees

public void setNumberOfTrees(int numTrees)

setMaxDepth

public void setMaxDepth(int maxDepth)

setFeatureCaching

public void setFeatureCaching(boolean enableFeatureCaching)

setSeed

public void setSeed(int seed)

predict

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

Predicts the class of the given instance by taking the majority vote of all trees.

Specified by:

predict in class ASimplifiedTSClassifier<java.lang.Integer>

Parameters:

univInstance - Univariate instance to be predicted

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

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

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

getTrees

public TimeSeriesTreeClassifier[] getTrees()

Getter for the time series trees.

Returns:

Returns an array consisting of all forest trees.

setTrees

public void setTrees(TimeSeriesTreeClassifier[] trees)

Setter for the time series trees.

Parameters:

trees - Trees to be set

getLearningAlgorithm

public TimeSeriesForestLearningAlgorithm getLearningAlgorithm(TimeSeriesDataset dataset)

Specified by:

getLearningAlgorithm in class ASimplifiedTSClassifier<java.lang.Integer>