# The crf-chain1 package

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.

## Properties

Versions | 0.2.0, 0.2.1, 0.2.2 |
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Change log | None available |

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 | BSD3 |

Copyright | Copyright (c) 2012 IPI PAN |

Author | Jakub Waszczuk |

Maintainer | waszczuk.kuba@gmail.com |

Stability | experimental |

Category | Math |

Home page | https://github.com/kawu/crf-chain1 |

Source repository | head: git clone git://github.com/kawu/crf-chain1.git |

Uploaded | Tue Oct 9 11:41:06 UTC 2012 by JakubWaszczuk |

Downloads | 786 total (8 in last 30 days) |

Votes | |

Status | Docs uploaded by user Build status unknown [no reports yet] |

## Modules

[Index]

## Downloads

- crf-chain1-0.2.0.tar.gz [browse] (Cabal source package)
- Package description (included in the package)

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