Uses of Class
org.apache.ctakes.ytex.kernel.SparseData

Packages that use SparseData

Package	Description
org.apache.ctakes.ytex.kernel
org.apache.ctakes.ytex.libsvm
org.apache.ctakes.ytex.semil
org.apache.ctakes.ytex.sparsematrix
org.apache.ctakes.ytex.svmlight
org.apache.ctakes.ytex.weka

Uses of SparseData in org.apache.ctakes.ytex.kernel

Methods in org.apache.ctakes.ytex.kernel that return SparseData

Modifier and Type	Method and Description
protected SparseData	SparseDataExporterImpl.loadData(InstanceData instanceLabel, String instanceNumericWordQuery, String instanceNominalWordQuery, String prepareScript, String prepareScriptDelimiter, BagOfWordsDecorator bDecorator, String label, Integer fold, Integer run)

Methods in org.apache.ctakes.ytex.kernel with parameters of type SparseData

Modifier and Type	Method and Description
protected void	SparseDataExporterImpl.addNominalWordToInstance(SparseData sparseData, long instanceId, String word, String wordValue)
protected void	SparseDataExporterImpl.addNumericWordToInstance(SparseData sparseData, long instanceId, String word, double wordValue)
protected int	BaseSparseDataFormatter.exportAttributeNames(BufferedWriter w, SparseData sparseData) assign indices to each attribute.
protected void	BaseSparseDataFormatter.exportAttributeNames(SparseData sparseData, String label, Integer run, Integer fold)
protected void	SVMLinFormatterFactory.SVMLinDataFormatter.exportData(SparseData sparseData, String label, Integer run, Integer fold)
void	SparseDataFormatter.exportFold(SparseData sparseData, SortedMap<Long,String> sortedMap, boolean train, String label, Integer run, Integer fold) export the fold train/test set.
protected void	BaseSparseDataFormatter.exportSparseMatrix(String filename, SparseData sparseData) export sparse matrix data for use in matlab/R.
protected void	BaseSparseDataFormatter.exportSparseRow(SparseData bagOfWordsData, long instanceId, BufferedWriter wData, int row)
protected void	SparseDataExporterImpl.getNominalInstanceWords(String sql, String prepareScript, String prepareScriptDelimiter, SparseData sparseData, Map<String,Object> params)
protected void	SparseDataExporterImpl.getNumericInstanceWords(String sql, String prepareScript, String prepareScriptDelimiter, SparseData sparseData, Map<String,Object> params)
protected SortedMap<Integer,Double>	BaseSparseDataFormatter.getSparseLineValues(SparseData bagOfWordsData, Map<String,Integer> numericAttributeMap, Map<String,Map<String,Integer>> nominalAttributeMap, long instanceId) create a map of attribute index - attribute value for the given instance.
void	BaseSparseDataFormatter.initializeExport(InstanceData instanceLabel, Properties properties, SparseData sparseData) get needed properties out of outdir.
void	SparseDataFormatter.initializeExport(InstanceData instanceLabel, Properties properties, SparseData sparseData) initialize export - called once
void	SparseDataFormatter.initializeFold(SparseData sparseData, String label, Integer run, Integer fold, SortedMap<Boolean,SortedMap<Long,String>> foldInstanceLabelMap) initialize data structures for the fold that will be exported.
void	SVMLinFormatterFactory.SVMLinDataFormatter.initializeFold(SparseData sparseData, String label, Integer run, Integer fold, SortedMap<Boolean,SortedMap<Long,String>> foldInstanceLabelMap)
void	SparseDataFormatter.initializeLabel(String label, SortedMap<Integer,SortedMap<Integer,SortedMap<Boolean,SortedMap<Long,String>>>> labelInstances, Properties properties, SparseData sparseData)

Uses of SparseData in org.apache.ctakes.ytex.libsvm

Methods in org.apache.ctakes.ytex.libsvm with parameters of type SparseData

Modifier and Type	Method and Description
protected List<Long>	LibSVMFormatterFactory.LibSVMFormatter.exportDataForInstances(SparseData bagOfWordsData, SortedMap<Long,String> instanceClassMap, com.google.common.collect.BiMap<String,Integer> classToIndexMap, BufferedWriter wData, BufferedWriter wId)
protected void	LibSVMFormatterFactory.LibSVMFormatter.exportDataForLabel(String filename, String idFilename, SparseData bagOfWordsData, SortedMap<Long,String> instanceClassMap, com.google.common.collect.BiMap<String,Integer> classToIndexMap) Export data file and id file
void	LibSVMFormatterFactory.LibSVMFormatter.exportFold(SparseData sparseData, SortedMap<Long,String> instanceClassMap, boolean train, String label, Integer run, Integer fold) export the given train/test set
void	LibSVMFormatterFactory.LibSVMFormatter.initializeExport(InstanceData instanceLabel, Properties properties, SparseData sparseData)
void	LibSVMFormatterFactory.LibSVMFormatter.initializeFold(SparseData sparseData, String label, Integer run, Integer fold, SortedMap<Boolean,SortedMap<Long,String>> foldInstanceLabelMap) write a file with the attribute names corresponding to the indices in the libsvm data file
void	LibSVMFormatterFactory.LibSVMFormatter.initializeLabel(String label, SortedMap<Integer,SortedMap<Integer,SortedMap<Boolean,SortedMap<Long,String>>>> labelInstances, Properties properties, SparseData sparseData)

Uses of SparseData in org.apache.ctakes.ytex.semil

Methods in org.apache.ctakes.ytex.semil with parameters of type SparseData

Modifier and Type	Method and Description
protected void	SemiLFormatterFactory.SemiLDataFormatter.exportData(SparseData sparseData, String label, Integer run, Integer fold)
void	SemiLFormatterFactory.SemiLDataFormatter.exportFold(SparseData sparseData, SortedMap<Long,String> instanceClassMap, boolean train, String label, Integer run, Integer fold)
void	SemiLFormatterFactory.SemiLDataFormatter.initializeExport(InstanceData instanceLabel, Properties properties, SparseData sparseData) write distance up to 6 digit precision.
void	SemiLFormatterFactory.SemiLDataFormatter.initializeFold(SparseData sparseData, String label, Integer run, Integer fold, SortedMap<Boolean,SortedMap<Long,String>> foldInstanceLabelMap)
void	SemiLFormatterFactory.SemiLDataFormatter.initializeLabel(String label, SortedMap<Integer,SortedMap<Integer,SortedMap<Boolean,SortedMap<Long,String>>>> labelInstances, Properties properties, SparseData sparseData)

Uses of SparseData in org.apache.ctakes.ytex.sparsematrix

Methods in org.apache.ctakes.ytex.sparsematrix with parameters of type SparseData

Modifier and Type	Method and Description
protected int	SparseMatrixFormatterFactory.SparseMatrixDataFormatter.exportAttributeNames(BufferedWriter w, SparseData sparseData) add instance_id as first in the map of numeric attribute
void	SparseMatrixFormatterFactory.SparseMatrixDataFormatter.exportFold(SparseData sparseData, SortedMap<Long,String> instanceClassMap, boolean train, String label, Integer run, Integer fold)
protected SortedMap<Integer,Double>	SparseMatrixFormatterFactory.SparseMatrixDataFormatter.getSparseLineValues(SparseData bagOfWordsData, Map<String,Integer> numericAttributeMap, Map<String,Map<String,Integer>> nominalAttributeMap, long instanceId) add instance_id to sparse line values
void	SparseMatrixFormatterFactory.SparseMatrixDataFormatter.initializeExport(InstanceData instanceLabel, Properties properties, SparseData sparseData)
void	SparseMatrixFormatterFactory.SparseMatrixDataFormatter.initializeFold(SparseData sparseData, String label, Integer run, Integer fold, SortedMap<Boolean,SortedMap<Long,String>> foldInstanceLabelMap)
void	SparseMatrixFormatterFactory.SparseMatrixDataFormatter.initializeLabel(String label, SortedMap<Integer,SortedMap<Integer,SortedMap<Boolean,SortedMap<Long,String>>>> labelInstances, Properties properties, SparseData sparseData)

Uses of SparseData in org.apache.ctakes.ytex.svmlight

Methods in org.apache.ctakes.ytex.svmlight with parameters of type SparseData

Modifier and Type	Method and Description
protected void	SGTFormatterFactory.SGTFormatter.exportData(SparseData sparseData, String label, Integer run, Integer fold)
void	SVMLightFormatterFactory.SVMLightFormatter.exportFold(SparseData sparseData, SortedMap<Long,String> instanceClassMap, boolean train, String label, Integer run, Integer fold) export the given train/test set
protected List<Long>	SVMLightFormatterFactory.SVMLightFormatter.exportTransductiveData(String filename, String idFilename, SparseData bagOfWordsData, SortedMap<Long,String> trainClassMap, Set<Long> testInstances, com.google.common.collect.BiMap<String,Integer> classToIndexMap) Export data file and id file
void	SVMLightFormatterFactory.SVMLightFormatter.initializeExport(InstanceData instanceLabel, Properties properties, SparseData sparseData) add the "0" class for transductive learning
void	SVMLightFormatterFactory.SVMLightFormatter.initializeFold(SparseData sparseData, String label, Integer run, Integer fold, SortedMap<Boolean,SortedMap<Long,String>> foldInstanceLabelMap)

Uses of SparseData in org.apache.ctakes.ytex.weka

Methods in org.apache.ctakes.ytex.weka with parameters of type SparseData

Modifier and Type	Method and Description
void	WekaAttributeEvaluatorImpl.WekaAttributeEvaluatorFormatter.exportFold(SparseData sparseData, SortedMap<Long,String> instanceClasses, boolean train, String label, Integer run, Integer fold)
void	WekaFormatterFactory.WekaFormatter.exportFold(SparseData sparseData, SortedMap<Long,String> sortedMap, boolean train, String label, Integer run, Integer fold)
protected void	WekaFormatterFactory.WekaFormatter.initializeAttributes(SparseData bagOfWordsData, SortedSet<String> classNames) initialize attributes
void	WekaFormatterFactory.WekaFormatter.initializeExport(InstanceData instanceLabel, Properties properties, SparseData sparseData)
void	WekaFormatterFactory.WekaFormatter.initializeFold(SparseData sparseData, String label, Integer run, Integer fold, SortedMap<Boolean,SortedMap<Long,String>> foldInstanceLabelMap)
weka.core.Instances	WekaFormatterFactory.WekaFormatter.initializeInstances(SparseData sparseData, SortedMap<Long,String> instanceClasses, boolean train, String label, Integer run, Integer fold) initialize the weka Instances
void	WekaFormatterFactory.WekaFormatter.initializeLabel(String label, SortedMap<Integer,SortedMap<Integer,SortedMap<Boolean,SortedMap<Long,String>>>> labelInstances, Properties properties, SparseData sparseData) initialize attributes on a per-label basis even if the data is the same across all labels.