name: crf-chain2-tiers
version: 0.3.0
synopsis: Second-order, tiered, constrained, linear conditional random fields
description:
The library provides implementation of the second-order, linear
conditional random fields (CRFs) with position-wise constraints
imposed over label values. Each label consists of a vector of
smaller, atomic labels, and over each tier (layer) a separate
set of model features is defined.
license: BSD3
license-file: LICENSE
cabal-version: >= 1.6
copyright: Copyright (c) 2013 IPI PAN
author: Jakub Waszczuk
maintainer: waszczuk.kuba@gmail.com
stability: experimental
category: Natural Language Processing
homepage: https://github.com/kawu/crf-chain2-tiers
build-type: Simple
library
hs-source-dirs: src
build-depends:
base >= 4 && < 5
, containers >= 0.4 && < 0.6
, array >= 0.4 && < 0.6
, vector >= 0.10 && < 0.13
, binary >= 0.5 && < 0.9
, vector-binary >= 0.1 && < 0.2
, monad-codec >= 0.2 && < 0.3
, data-lens >= 2.10.4 && < 2.12
, comonad >= 4.0 && < 5.1
, logfloat >= 0.12.1 && < 0.14
, parallel >= 3.2 && < 3.3
, sgd >= 0.4 && < 0.5
, vector-th-unbox >= 0.2.1 && < 0.3
, pedestrian-dag >= 0.2 && < 0.3
, data-memocombinators >= 0.5 && < 0.6
exposed-modules:
Data.CRF.Chain2.Tiers
, Data.CRF.Chain2.Tiers.Core
, Data.CRF.Chain2.Tiers.Dataset.Internal
, Data.CRF.Chain2.Tiers.Dataset.External
, Data.CRF.Chain2.Tiers.Dataset.Codec
, Data.CRF.Chain2.Tiers.Feature
, Data.CRF.Chain2.Tiers.Model
, Data.CRF.Chain2.Tiers.Inference
, Data.CRF.Chain2.Tiers.Array
, Data.CRF.Chain2.Tiers.DAG
, Data.CRF.Chain2.Tiers.DAG.Feature
, Data.CRF.Chain2.Tiers.DAG.Dataset.External
, Data.CRF.Chain2.Tiers.DAG.Dataset.Codec
, Data.CRF.Chain2.Tiers.DAG.Inference
, Data.CRF.Chain2.Tiers.DAG.Probs
other-modules:
Data.CRF.Chain2.Tiers.Util
, Data.CRF.Chain2.Tiers.DP
ghc-options: -Wall -O2
source-repository head
type: git
location: https://github.com/kawu/crf-chain2-tiers.git