Uses of Class
jsat.classifiers.CategoricalData

Packages that use CategoricalData

Package	Description
jsat
jsat.classifiers
jsat.classifiers.bayesian
jsat.classifiers.bayesian.graphicalmodel
jsat.classifiers.boosting
jsat.classifiers.evaluation
jsat.classifiers.linear
jsat.classifiers.linear.kernelized
jsat.classifiers.svm.extended
jsat.classifiers.trees
jsat.regression
jsat.text

Uses of CategoricalData in jsat

Fields in jsat declared as CategoricalData

Modifier and Type	Field and Description
protected CategoricalData[]	DataSet.categories Contains the categories for each of the categorical variables

Methods in jsat that return CategoricalData

Modifier and Type	Method and Description
CategoricalData[]	DataSet.getCategories() Returns the array containing the categorical data information for this data set.

Constructors in jsat with parameters of type CategoricalData

Constructor and Description
SimpleDataSet(CategoricalData[] categories, int numNumericalValues)

Uses of CategoricalData in jsat.classifiers

Fields in jsat.classifiers declared as CategoricalData

Modifier and Type	Field and Description
protected CategoricalData[]	DataPoint.categoricalData
protected CategoricalData	OneVSOne.predicting
protected CategoricalData	ClassificationDataSet.predicting The categories for the predicted value

Methods in jsat.classifiers that return CategoricalData

Modifier and Type	Method and Description
CategoricalData	CategoricalData.clone()
static CategoricalData[]	CategoricalData.copyOf(CategoricalData[] orig)
CategoricalData[]	DataPoint.getCategoricalData() Returns the array of Categorical Data information
CategoricalData	ClassificationDataSet.getPredicting()

Methods in jsat.classifiers with parameters of type CategoricalData

Modifier and Type	Method and Description
static CategoricalData[]	CategoricalData.copyOf(CategoricalData[] orig)
void	UpdateableClassifier.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting) Prepares the classifier to begin learning from its UpdateableClassifier.update(jsat.classifiers.DataPoint, int) method.
void	UpdateableClassifier.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting) Prepares the classifier to begin learning from its UpdateableClassifier.update(jsat.classifiers.DataPoint, int) method.

Constructors in jsat.classifiers with parameters of type CategoricalData

Constructor and Description
ClassificationDataSet(int numerical, CategoricalData[] categories, CategoricalData predicting) Creates a new, empty, data set for classification problems.
ClassificationDataSet(int numerical, CategoricalData[] categories, CategoricalData predicting) Creates a new, empty, data set for classification problems.
ClassificationDataSet(List<DataPointPair<Integer>> data, CategoricalData predicting) Creates a new data set for classification problems from the given list of data points.
DataPoint(Vec numericalValues, int[] categoricalValues, CategoricalData[] categoricalData) Creates a new data point with the default weight of 1.0
DataPoint(Vec numericalValues, int[] categoricalValues, CategoricalData[] categoricalData, double weight) Creates a new data point

Uses of CategoricalData in jsat.classifiers.bayesian

Fields in jsat.classifiers.bayesian declared as CategoricalData

Modifier and Type	Field and Description
protected CategoricalData	AODE.predicting

Methods in jsat.classifiers.bayesian with parameters of type CategoricalData

Modifier and Type	Method and Description
void	ODE.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	ODE.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	NaiveBayesUpdateable.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	NaiveBayesUpdateable.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	MultinomialNaiveBayes.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	MultinomialNaiveBayes.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	AODE.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	AODE.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)

Uses of CategoricalData in jsat.classifiers.bayesian.graphicalmodel

Fields in jsat.classifiers.bayesian.graphicalmodel declared as CategoricalData

Modifier and Type	Field and Description
protected CategoricalData	DiscreteBayesNetwork.predicting The class we are predicting

Uses of CategoricalData in jsat.classifiers.boosting

Fields in jsat.classifiers.boosting declared as CategoricalData

Modifier and Type	Field and Description
protected CategoricalData	ModestAdaBoost.predicting
protected CategoricalData	EmphasisBoost.predicting
protected CategoricalData	AdaBoostM1.predicting

Methods in jsat.classifiers.boosting with parameters of type CategoricalData

Modifier and Type	Method and Description
void	UpdatableStacking.setUp(CategoricalData[] categoricalAttributes, int numericAttributes)
void	UpdatableStacking.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	UpdatableStacking.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)

Uses of CategoricalData in jsat.classifiers.evaluation

Methods in jsat.classifiers.evaluation with parameters of type CategoricalData

Modifier and Type	Method and Description
void	SimpleBinaryClassMetric.prepare(CategoricalData toPredict)
void	LogLoss.prepare(CategoricalData toPredict)
void	Kappa.prepare(CategoricalData toPredict)
void	ClassificationScore.prepare(CategoricalData toPredict) Prepares this score to predict on the given input
void	AUC.prepare(CategoricalData toPredict)
void	Accuracy.prepare(CategoricalData toPredict)

Uses of CategoricalData in jsat.classifiers.linear

Methods in jsat.classifiers.linear with parameters of type CategoricalData

Modifier and Type	Method and Description
void	STGD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes)
void	PassiveAggressive.setUp(CategoricalData[] categoricalAttributes, int numericAttributes)
void	LinearSGD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes)
void	STGD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	STGD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	SPA.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	SPA.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	SCW.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	SCW.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	ROMMA.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	ROMMA.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	PassiveAggressive.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	PassiveAggressive.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	NHERD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	NHERD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	LinearSGD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	LinearSGD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	AROW.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	AROW.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	ALMA2.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	ALMA2.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)

Uses of CategoricalData in jsat.classifiers.linear.kernelized

Methods in jsat.classifiers.linear.kernelized with parameters of type CategoricalData

Modifier and Type	Method and Description
void	KernelSGD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes)
void	Projectron.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	Projectron.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	OSKL.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	OSKL.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	KernelSGD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	KernelSGD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	Forgetron.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	Forgetron.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	DUOL.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	DUOL.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	CSKLR.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	CSKLR.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	BOGD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	BOGD.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	ALMA2K.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	ALMA2K.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)

Uses of CategoricalData in jsat.classifiers.svm.extended

Methods in jsat.classifiers.svm.extended with parameters of type CategoricalData

Modifier and Type	Method and Description
void	OnlineAMM.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)
void	OnlineAMM.setUp(CategoricalData[] categoricalAttributes, int numericAttributes, CategoricalData predicting)

Uses of CategoricalData in jsat.classifiers.trees

Methods in jsat.classifiers.trees with parameters of type CategoricalData

Modifier and Type	Method and Description
void	DecisionStump.setPredicting(CategoricalData predicting) Sets the DecisionStump's predicting information.

Uses of CategoricalData in jsat.regression

Methods in jsat.regression with parameters of type CategoricalData

Modifier and Type	Method and Description
void	UpdateableRegressor.setUp(CategoricalData[] categoricalAttributes, int numericAttributes) Prepares the classifier to begin learning from its UpdateableRegressor.update(jsat.classifiers.DataPoint, double) method.
void	KernelRLS.setUp(CategoricalData[] categoricalAttributes, int numericAttributes)

Constructors in jsat.regression with parameters of type CategoricalData

Constructor and Description
RegressionDataSet(int numerical, CategoricalData[] categories) Creates a new empty data set for regression

Uses of CategoricalData in jsat.text

Fields in jsat.text declared as CategoricalData

Modifier and Type	Field and Description
protected CategoricalData	ClassificationTextDataLoader.labelInfo The information about the class label that would be predicted for a classification data set.
protected CategoricalData	ClassificationHashedTextDataLoader.labelInfo The information about the class label that would be predicted for a classification data set.