Uses of Interface
dragon.ml.seqmodel.data.DataSequence

Packages that use DataSequence

Package	Description
dragon.ml.seqmodel.crf
dragon.ml.seqmodel.data
dragon.ml.seqmodel.feature
dragon.ml.seqmodel.model

Uses of DataSequence in dragon.ml.seqmodel.crf

Methods in dragon.ml.seqmodel.crf with parameters of type DataSequence

Modifier and Type	Method and Description
protected void	AbstractCRF.computeTransMatrix(double[] lambda, DataSequence data, int startPos, int endPos, DoubleDenseMatrix transMatrix, boolean takeExp)
double	ViterbiSegmentLabeler.getBestSolution(DataSequence dataSeq, int order)
double	ViterbiBasicLabeler.getBestSolution(DataSequence dataSeq, int order)
double	Labeler.getBestSolution(DataSequence dataSeq, int order) Gets the order-th solution.
protected int	CollinsSegmentTrainer.getSegmentEnd(DataSequence dataSeq, int start)
protected int	CollinsBasicTrainer.getSegmentEnd(DataSequence dataSeq, int start)
protected double	CollinsBasicTrainer.getSequenceScore(DataSequence dataSeq, double[] grad)
protected boolean	CollinsBasicTrainer.isCorrect(DataSequence manual, DataSequence auto)
boolean	ViterbiSegmentLabeler.label(DataSequence dataSeq)
boolean	ViterbiBasicLabeler.label(DataSequence dataSeq)
boolean	Labeler.label(DataSequence dataSeq) Labels the given sequence
boolean	ViterbiSegmentLabeler.label(DataSequence dataSeq, double[] lambda)
boolean	ViterbiBasicLabeler.label(DataSequence dataSeq, double[] lambda)
boolean	Labeler.label(DataSequence dataSeq, double[] lambda) Labels the sequence using the given model
protected void	CollinsBasicTrainer.updateWeights(DataSequence dataSeq, int startPos, int endPos, double wt, double[] grad)

Uses of DataSequence in dragon.ml.seqmodel.data

Classes in dragon.ml.seqmodel.data that implement DataSequence

Modifier and Type	Class and Description
class	BasicDataSequence Basic data structure for sequence data

Methods in dragon.ml.seqmodel.data that return DataSequence

Modifier and Type	Method and Description
DataSequence	DataSequence.copy() Makes a copy of the current data sequence
DataSequence	BasicDataSequence.copy()
DataSequence	Dataset.next() Reads out the next sequence
DataSequence	BasicDataset.next()
DataSequence	FlatSegmentReader.readRow()
DataSequence	DataReader.readRow() Reads out one sequence and the pointer autoamtically moves to the next sequence.

Methods in dragon.ml.seqmodel.data with parameters of type DataSequence

Modifier and Type	Method and Description
boolean	BasicDataset.add(DataSequence seq)
boolean	FlatSegmentWriter.write(DataSequence dataSeq)
boolean	DataWriter.write(DataSequence dataSeq) Writes out one data sequence

Uses of DataSequence in dragon.ml.seqmodel.feature

Fields in dragon.ml.seqmodel.feature declared as DataSequence

Modifier and Type	Field and Description
protected DataSequence	BasicFeatureGenerator.curSeq
protected DataSequence	FeatureTypeConcatRegex.data
protected DataSequence	FeatureTypeWindow.dataSeq

Methods in dragon.ml.seqmodel.feature with parameters of type DataSequence

Modifier and Type	Method and Description
protected void	BasicFeatureGenerator.initScanFeaturesAt(DataSequence d)
protected boolean	BasicFeatureGenerator.isValidFeature(DataSequence data, int curStartPos, int curEndPos, Feature featureToReturn)
protected boolean	BasicFeatureGenerator.retainFeature(DataSequence seq, Feature f)
boolean	FeatureTypeTokenLoop.startScanFeaturesAt(DataSequence data, int pos)
boolean	FeatureTypeStart.startScanFeaturesAt(DataSequence data, int pos)
boolean	FeatureTypeSegmentLengthPoly.startScanFeaturesAt(DataSequence data, int pos)
boolean	FeatureTypeSegmentLength.startScanFeaturesAt(DataSequence data, int pos)
boolean	FeatureTypeRegexCount.startScanFeaturesAt(DataSequence data, int pos)
boolean	FeatureTypePosition.startScanFeaturesAt(DataSequence data, int pos)
boolean	AbstractFeatureType.startScanFeaturesAt(DataSequence data, int pos)
boolean	FeatureTypeWordScore.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeWord.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeWindow.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeUnknownWord.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeTokenLoop.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeStateLoop.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeStart.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeSegmentLengthPoly.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeSegmentLength.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeRegexCount.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypePrior.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypePosition.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypePOSPattern.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeKnownWord.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeEnd.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeEdge.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureTypeConcatRegex.startScanFeaturesAt(DataSequence data, int startPos, int endPos)
boolean	FeatureType.startScanFeaturesAt(DataSequence seq, int startPos, int endPos) Starts scanning features of the given segment of a sequence
void	FeatureGenerator.startScanFeaturesAt(DataSequence data, int startPos, int endPos) Starts scanning features for the specified segment
void	BasicFeatureGenerator.startScanFeaturesAt(DataSequence d, int startPos, int endPos)
boolean	AbstractFeatureTypeWrapper.startScanFeaturesAt(DataSequence data, int startPos, int endPos)

Uses of DataSequence in dragon.ml.seqmodel.model

Methods in dragon.ml.seqmodel.model with parameters of type DataSequence

Modifier and Type	Method and Description
boolean	NestedModel.mapLabelToState(DataSequence data)
boolean	ModelGraph.mapLabelToState(DataSequence seq) Maps labels to states.
boolean	AbstractModel.mapLabelToState(DataSequence seq)
boolean	ModelGraph.mapLabelToState(DataSequence data, int len, int start) This method is used by inner model only
boolean	GenericModel.mapLabelToState(DataSequence data, int len, int start)
boolean	AbstractModel.mapLabelToState(DataSequence data, int len, int start)
boolean	NestedModel.mapStateToLabel(DataSequence dataSeq)
boolean	ModelGraph.mapStateToLabel(DataSequence seq) Maps states to labels.
boolean	AbstractModel.mapStateToLabel(DataSequence seq)