public class SubInstances
extends weka.core.Instances
| Constructor and Description |
|---|
SubInstances(weka.core.Instances dataset,
int[] indices) |
| Modifier and Type | Method and Description |
|---|---|
boolean |
add(weka.core.Instance instance) |
void |
add(int index,
weka.core.Instance instance) |
void |
delete() |
void |
deleteAttributeAt(int position) |
weka.core.Instance |
firstInstance() |
weka.core.Instance |
get(int index) |
weka.core.Instance |
instance(int index) |
int |
numInstances() |
weka.core.Instance |
remove(int index) |
weka.core.Instance |
set(int index,
weka.core.Instance instance) |
int |
size() |
void |
stratify(int numFolds) |
protected void |
stratStep(int numFolds) |
void |
swap(int i,
int j) |
java.lang.String |
toString()
Returns the dataset as a string in ARFF format.
|
allAttributeWeightsIdentical, allInstanceWeightsIdentical, attribute, attribute, attributeStats, attributeToDoubleArray, checkForAttributeType, checkForStringAttributes, checkInstance, classAttribute, classIndex, compactify, copyInstances, delete, deleteAttributeType, deleteStringAttributes, deleteWithMissing, deleteWithMissing, deleteWithMissingClass, enumerateAttributes, enumerateInstances, equalHeaders, equalHeadersMsg, getRandomNumberGenerator, getRevision, initialize, insertAttributeAt, instancesAndWeights, kthSmallestValue, kthSmallestValue, lastInstance, main, meanOrMode, meanOrMode, mergeInstances, numAttributes, numClasses, numDistinctValues, numDistinctValues, randomize, readInstance, relationName, renameAttribute, renameAttribute, renameAttributeValue, renameAttributeValue, replaceAttributeAt, resample, resampleWithWeights, resampleWithWeights, resampleWithWeights, resampleWithWeights, resampleWithWeights, resampleWithWeights, resampleWithWeights, setAttributeWeight, setAttributeWeight, setClass, setClassIndex, setRelationName, sort, sort, sortBasedOnNominalAttribute, stableSort, stableSort, stringFreeStructure, stringWithoutHeader, sumOfWeights, test, testCV, toSummaryString, trainCV, trainCV, variance, variance, variancesaddAll, clear, equals, hashCode, indexOf, iterator, lastIndexOf, listIterator, listIterator, removeRange, subListaddAll, contains, containsAll, isEmpty, remove, removeAll, retainAll, toArray, toArrayclone, finalize, getClass, notify, notifyAll, wait, wait, waitpublic boolean add(weka.core.Instance instance)
add in interface java.util.Collection<weka.core.Instance>add in interface java.util.List<weka.core.Instance>add in class weka.core.Instancespublic void add(int index,
weka.core.Instance instance)
add in interface java.util.List<weka.core.Instance>add in class weka.core.Instancespublic void delete()
delete in class weka.core.Instancespublic void deleteAttributeAt(int position)
deleteAttributeAt in class weka.core.Instancespublic weka.core.Instance firstInstance()
firstInstance in class weka.core.Instancespublic weka.core.Instance instance(int index)
instance in class weka.core.Instancespublic weka.core.Instance get(int index)
get in interface java.util.List<weka.core.Instance>get in class weka.core.Instancespublic int numInstances()
numInstances in class weka.core.Instancespublic int size()
size in interface java.util.Collection<weka.core.Instance>size in interface java.util.List<weka.core.Instance>size in class weka.core.Instancespublic weka.core.Instance remove(int index)
remove in interface java.util.List<weka.core.Instance>remove in class weka.core.Instancespublic weka.core.Instance set(int index,
weka.core.Instance instance)
set in interface java.util.List<weka.core.Instance>set in class weka.core.Instancespublic void stratify(int numFolds)
stratify in class weka.core.Instancespublic java.lang.String toString()
toString in class weka.core.Instancesprotected void stratStep(int numFolds)
stratStep in class weka.core.Instancespublic void swap(int i,
int j)
swap in class weka.core.Instances