net.sf.bddbddb.order
Class TrialInstances

java.lang.Object
  weka.core.Instances
      net.sf.bddbddb.order.TrialInstances

All Implemented Interfaces:

java.io.Serializable

public class TrialInstances
extends weka.core.Instances

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.core.Instances

FILE_EXTENSION, m_Attributes, m_ClassIndex, m_IndicesBuffer, m_Instances, m_RelationName, m_ValueBuffer, SERIALIZED_OBJ_FILE_EXTENSION

Constructor Summary

TrialInstances(java.lang.String name, weka.core.FastVector attInfo, int capacity)

Method Summary

TrialInstances	copy()
Discretization	discretize(weka.filters.unsupervised.attribute.Discretize d, int numBins, int index)
Discretization	discretize(double power)
TrialInstances	infoClone()
weka.core.Instances	resample(java.util.Random random)
static void	setIndex(weka.core.Attribute a, int i)
Discretization	threshold(double thres)
Discretization	threshold(double thres, int index)

Methods inherited from class weka.core.Instances

add, attribute, attribute, attributeStats, attributeToDoubleArray, checkForStringAttributes, checkInstance, classAttribute, classIndex, compactify, copyInstances, delete, delete, deleteAttributeAt, deleteStringAttributes, deleteWithMissing, deleteWithMissing, deleteWithMissingClass, enumerateAttributes, enumerateInstances, equalHeaders, errms, firstInstance, freshAttributeInfo, getFirstToken, getIndex, getInstance, getInstanceFull, getInstanceSparse, getLastToken, getNextToken, getRandomNumberGenerator, initTokenizer, insertAttributeAt, instance, instancesAndWeights, lastInstance, main, meanOrMode, meanOrMode, mergeInstances, numAttributes, numClasses, numDistinctValues, numDistinctValues, numInstances, quickSort, randomize, readHeader, readInstance, readTillEOL, relationName, renameAttribute, renameAttribute, renameAttributeValue, renameAttributeValue, resampleWithWeights, resampleWithWeights, setClass, setClassIndex, setRelationName, sort, sort, stratify, stratStep, stringFreeStructure, sumOfWeights, swap, test, testCV, toString, toSummaryString, trainCV, trainCV, variance, variance

Methods inherited from class java.lang.Object

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

Constructor Detail

TrialInstances

public TrialInstances(java.lang.String name,
                      weka.core.FastVector attInfo,
                      int capacity)

Parameters:

name -

attInfo -

capacity -

Method Detail

threshold

public Discretization threshold(double thres)

threshold

public Discretization threshold(double thres,
                                int index)

discretize

public Discretization discretize(double power)

discretize

public Discretization discretize(weka.filters.unsupervised.attribute.Discretize d,
                                 int numBins,
                                 int index)

setIndex

public static void setIndex(weka.core.Attribute a,
                            int i)

infoClone

public TrialInstances infoClone()

resample

public weka.core.Instances resample(java.util.Random random)

Overrides:

resample in class weka.core.Instances

copy

public TrialInstances copy()