The crf-chain1 package

[Tags: bsd3, library]

The library provides efficient implementation of the first-order, linear-chain conditional random fields (CRFs).

Important feature of the implemented flavour of CRFs is that transition features which are not included in the CRF model are considered to have probability of 0. It is particularly useful when the training material determines the set of possible label transitions (e.g. when using the IOB encoding method). Furthermore, this design decision makes the implementation much faster for sparse datasets.


Versions0.2.0, 0.2.1, 0.2.2
Change logNone available
Dependenciesarray, base (>=4 && <4.8), binary, containers, data-lens, logfloat, monad-codec (==0.2.*), parallel, random, sgd (>=0.2.1 && <0.3), vector, vector-binary (==0.1.*), vector-th-unbox (>=0.2.1 && <0.3) [details]
CopyrightCopyright (c) 2012 IPI PAN
AuthorJakub Waszczuk
Home page
Source repositoryhead: git clone git://
UploadedThu Jun 19 10:28:06 UTC 2014 by JakubWaszczuk
UpdatedFri Oct 2 13:56:25 UTC 2015 by AdamBergmark to revision 1
Downloads705 total (23 in last 30 days)
0 []
StatusDocs available [build log]
Successful builds reported [all 1 reports]




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