Uses of Interface
com.aliasi.crf.ChainCrfFeatureExtractor

Packages that use ChainCrfFeatureExtractor

Package	Description
com.aliasi.crf	Classes and interfaces for conditional random fields.

Uses of ChainCrfFeatureExtractor in com.aliasi.crf

Methods in com.aliasi.crf that return ChainCrfFeatureExtractor

Modifier and Type	Method and Description
ChainCrfFeatureExtractor<E>	ChainCrf.featureExtractor() Return the feature extractor for this CRF.

Methods in com.aliasi.crf with parameters of type ChainCrfFeatureExtractor

Modifier and Type	Method and Description
static ChainCrfChunker	ChainCrfChunker.estimate(Corpus<ObjectHandler<Chunking>> chunkingCorpus, TagChunkCodec codec, TokenizerFactory tokenizerFactory, ChainCrfFeatureExtractor<String> featureExtractor, boolean addInterceptFeature, int minFeatureCount, boolean cacheFeatureVectors, RegressionPrior prior, int priorBlockSize, AnnealingSchedule annealingSchedule, double minImprovement, int minEpochs, int maxEpochs, Reporter reporter) Return the chain CRF-based chunker estimated from the specified corpus, which is converted to a tagging corpus using the specified coder/decoder and tokenizer factory, then passed to the chain CRF estimate method along with the rest of the arguments.
static <F> ChainCrf<F>	ChainCrf.estimate(Corpus<ObjectHandler<Tagging<F>>> corpus, ChainCrfFeatureExtractor<F> featureExtractor, boolean addInterceptFeature, int minFeatureCount, boolean cacheFeatureVectors, boolean allowUnseenTransitions, RegressionPrior prior, int priorBlockSize, AnnealingSchedule annealingSchedule, double minImprovement, int minEpochs, int maxEpochs, Reporter reporter) Return the CRF estimated using stochastic gradient descent with the specified prior from the specified corpus of taggings of type F pruned to the specified minimum feature count, using the specified feature extractor, automatically adding an intercept feature if the flag is true, allow unseen tag transitions as specified, using the specified training parameters for annealing, measuring convergence, and reporting the incremental results to the specified reporter.

Constructors in com.aliasi.crf with parameters of type ChainCrfFeatureExtractor

Constructor and Description
ChainCrf(String[] tags, boolean[] legalTagStarts, boolean[] legalTagEnds, boolean[][] legalTagTransitions, Vector[] coefficients, SymbolTable featureSymbolTable, ChainCrfFeatureExtractor<E> featureExtractor, boolean addInterceptFeature) Construct a conditional random field from the specified tags, feature vector coefficients, symbol table for feature, feature extractors and flag indicating whether to add intercepts or not.
ChainCrf(String[] tags, Vector[] coefficients, SymbolTable featureSymbolTable, ChainCrfFeatureExtractor<E> featureExtractor, boolean addInterceptFeature) Construct a conditional random field from the specified tags, feature vector coefficients, symbol table for feature, feature extractors and flag indicating whether to add intercepts or not.