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

Packages that use Dataset

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

Uses of Dataset in dragon.ml.seqmodel.crf

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

Modifier and Type	Method and Description
protected double	LBFGSSegmentTrainer.computeFunctionGradient(Dataset diter, double[] lambda, double[] grad)
protected double	LBFGSBasicTrainer.computeFunctionGradient(Dataset diter, double[] lambda, double[] grad)
protected double	LBFGSSegmentTrainer.computeFunctionGradientLL(Dataset diter, double[] lambda, double[] grad)
boolean	Trainer.train(Dataset dataset) Trains the CRF model with labeled dataset
boolean	LBFGSBasicTrainer.train(Dataset dataset)
boolean	CollinsBasicTrainer.train(Dataset dataset)

Uses of Dataset in dragon.ml.seqmodel.data

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

Modifier and Type	Class and Description
class	BasicDataset Basic data structure of a set of sequence data

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

Modifier and Type	Method and Description
Dataset	BasicDataset.copy()
Dataset	DataSequence.getParent() Gets the dataset object which the current data sequence belongs to
Dataset	BasicDataSequence.getParent()
Dataset	FlatSegmentReader.read()
Dataset	DataReader.read() Reads out all sequences

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

Modifier and Type	Method and Description
void	DataSequence.setParent(Dataset parent) Sets the dataset object which the current data sequence belongs to
void	BasicDataSequence.setParent(Dataset parent)
boolean	FlatSegmentWriter.write(Dataset dataset)
boolean	DataWriter.write(Dataset dataset) Writes out the whole dataset

Uses of Dataset in dragon.ml.seqmodel.evaluate

Methods in dragon.ml.seqmodel.evaluate with parameters of type Dataset

Modifier and Type	Method and Description
void	TokenEvaluator.evaluate(Dataset human, Dataset machine)
void	Evaluator.evaluate(Dataset human, Dataset machine) Evalutes the machine-generated labels

Uses of Dataset in dragon.ml.seqmodel.feature

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

Modifier and Type	Method and Description
protected void	BasicFeatureGenerator.collectFeatureIdentifiers(Dataset trainData)
boolean	FeatureTypeWord.train(Dataset trainData)
boolean	FeatureType.train(Dataset dataset) Trains the feature types with the labeled training dataset
boolean	FeatureGenerator.train(Dataset data) This method will be called in training mode.
boolean	BasicFeatureGenerator.train(Dataset trainData)
boolean	AbstractFeatureTypeWrapper.train(Dataset data)
boolean	AbstractFeatureType.train(Dataset data)