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See:
Description
Interface Summary | |
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BestSequenceFinder | An interface for classes capable of computing the best sequence given a SequenceModel. |
DocumentReaderAndWriter<IN extends CoreMap> | This interface is used for reading data and writing
output into and out of SequenceClassifier s. |
LatticeWriter<IN extends CoreMap> | This interface is used for writing
lattices out of SequenceClassifier s. |
SequenceListener | A class capable of listening to changes about a sequence, represented as an array of type int. |
SequenceModel | Class capable of scoring sequences of a fixed length, typically with a probability distribution over such sequences. |
Class Summary | |
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BeamBestSequenceFinder | An class capable of computing the best sequence given a SequenceModel. |
Clique | This class is meant to represent a clique in a (directed or undirected) linear-chain graphical model. |
ColumnDocumentReaderAndWriter | DocumentReader for column format |
CoNLLDocumentReaderAndWriter | DocumentReader for the original CoNLL 03 format. |
CoolingSchedule | |
ExactBestSequenceFinder | A class capable of computing the best sequence given a SequenceModel. |
FactoredSequenceListener | |
FactoredSequenceModel | |
FeatureFactory<IN> | This is the abstract class that all feature factories must subclass. |
KBestSequenceFinder | |
ObjectBankWrapper<IN extends CoreMap> | This class is used to wrap the ObjectBank used by the sequence models and is where any sort of general processing, like the IOB mapping stuff and wordshape stuff, should go. |
PlainTextDocumentReaderAndWriter<IN extends CoreMap> | This class provides methods for reading plain text documents and writing out those documents once classified in several different formats. |
SeqClassifierFlags | Flags for sequence classifiers. |
SequenceGibbsSampler | A Gibbs sampler for sequence models. |
SequenceSampler | This class will sample an output from a sequence model. |
ViterbiSearchGraphBuilder |
Enum Summary | |
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PlainTextDocumentReaderAndWriter.OutputStyle |
This package contains classes that support sequence modeling and inference (CMMs and CRFs).
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