crf-chain1: First-order, linear-chain conditional random fields

[ bsd3, library, math ] [ Propose Tags ]

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.

Versions 0.2.0, 0.2.1, 0.2.2
Dependencies array, base (==4.*), binary, containers, data-lens, logfloat, monad-codec (==0.2.*), parallel, random, sgd (>=0.2.1 && <0.3), vector, vector-binary [details]
License BSD-3-Clause
Copyright Copyright (c) 2012 IPI PAN
Author Jakub Waszczuk
Maintainer waszczuk.kuba@gmail.com
Category Math
Home page https://github.com/kawu/crf-chain1
Source repo head: git clone git://github.com/kawu/crf-chain1.git
Uploaded by JakubWaszczuk at Fri Oct 12 13:16:10 UTC 2012
Distributions NixOS:0.2.2
Downloads 1567 total (8 in the last 30 days)
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