com.github.pmerienne.trident.ml.testing.data

Class Datasets

java.lang.Object

com.github.pmerienne.trident.ml.testing.data.Datasets

public class Datasets
extends Object

Constructor Summary

Constructors

Constructor and Description
Datasets()

Method Summary

Methods

Modifier and Type	Method and Description
static List<Instance<Boolean>>	generateDataForClassification(int size, int featureSize)
static List<Instance<Integer>>	generateDataForClusterization(int nbCluster, int nbInstances)
static List<Instance<Integer>>	generateDataForMultiLabelClassification(int size, int featureSize, int nbClasses)
static List<Instance<Double>>	generateDataForRegression(int size, int featureSize)
static List<Instance<Boolean>>	generatedNandInstances(int nb)
static List<Instance<Boolean>>	generateNonSeparatableDataForClassification(int size)
static List<Instance<Double>>	getBIRTHSSamples()
static List<Instance<Integer>>	getClusteringSamples()
static List<TextInstance<Integer>>	getReutersSamples()
static List<Instance<Boolean>>	getSpamSamples()
static List<TextInstance<Boolean>>	getTwitterSamples()
static List<Instance<Integer>>	getUSPSSamples()
protected static void	loadClusteringData()
protected static void	loadReutersData()
protected static void	loadSmallTwitterData()

Methods inherited from class java.lang.Object

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

Constructor Detail

Datasets

public Datasets()

Method Detail

getSpamSamples

public static List<Instance<Boolean>> getSpamSamples()

getUSPSSamples

public static List<Instance<Integer>> getUSPSSamples()

getBIRTHSSamples

public static List<Instance<Double>> getBIRTHSSamples()

getReutersSamples

public static List<TextInstance<Integer>> getReutersSamples()

getTwitterSamples

public static List<TextInstance<Boolean>> getTwitterSamples()

getClusteringSamples

public static List<Instance<Integer>> getClusteringSamples()

loadReutersData

protected static void loadReutersData()
                               throws IOException

Throws:

IOException

loadSmallTwitterData

protected static void loadSmallTwitterData()
                                    throws IOException

Throws:

IOException

loadClusteringData

protected static void loadClusteringData()
                                  throws IOException

Throws:

IOException

generateDataForClusterization

public static List<Instance<Integer>> generateDataForClusterization(int nbCluster,
                                                    int nbInstances)

generatedNandInstances

public static List<Instance<Boolean>> generatedNandInstances(int nb)

generateDataForClassification

public static List<Instance<Boolean>> generateDataForClassification(int size,
                                                    int featureSize)

generateNonSeparatableDataForClassification

public static List<Instance<Boolean>> generateNonSeparatableDataForClassification(int size)

generateDataForMultiLabelClassification

public static List<Instance<Integer>> generateDataForMultiLabelClassification(int size,
                                                              int featureSize,
                                                              int nbClasses)

generateDataForRegression

public static List<Instance<Double>> generateDataForRegression(int size,
                                               int featureSize)