Uses of Class
com.aliasi.crf.ChainCrf

Packages that use ChainCrf

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

Uses of ChainCrf in com.aliasi.crf

Methods in com.aliasi.crf that return ChainCrf

Modifier and Type	Method and Description
ChainCrf<String>	ChainCrfChunker.crf() Returns the underlying CRF for this chunker.
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 ChainCrf

Constructor and Description
ChainCrfChunker(ChainCrf<String> crf, TokenizerFactory tokenizerFactory, TagChunkCodec codec) Construct a chunker based on the specified chain conditional random field, tokenizer factory and tag-chunk coder/decoder.