Cabal revisions of hmm-lapack-0.5.0.1
Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.
revision 1
Cabal-Version: 2.2 Name: hmm-lapack Version: 0.5.0.1+x-revision: 1 Synopsis: Hidden Markov Models using LAPACK primitives Description: Hidden Markov Models implemented using LAPACK data types and operations. fixed-length, tfp, doctest-exitcode-stdio >=0.0 && <0.1,- doctest-lib >=0.1 && <0.1.1,+ doctest-lib >=0.1 && <0.1.2, QuickCheck >=2.5 && <3, random, containers,
revision 2
-Cabal-Version: 2.2-Name: hmm-lapack-Version: 0.5.0.1-x-revision: 1-Synopsis: Hidden Markov Models using LAPACK primitives-Description:- Hidden Markov Models implemented using LAPACK data types and operations.- <http://en.wikipedia.org/wiki/Hidden_Markov_Model>- .- It implements:- .- * generation of samples of emission sequences,- .- * computation of the likelihood of an observed sequence of emissions,- .- * construction of most likely state sequence- that produces an observed sequence of emissions,- .- * supervised and unsupervised training of the model by Baum-Welch algorithm.- .- It supports any kind of emission distribution,- where discrete and multivariate Gaussian distributions- are implemented as examples.- .- For an introduction please refer to the examples:- .- * "Math.HiddenMarkovModel.Example.TrafficLight"- .- * "Math.HiddenMarkovModel.Example.SineWave"- .- * "Math.HiddenMarkovModel.Example.Circle"- .- An alternative package without foreign calls is @hmm@.-Homepage: https://hub.darcs.net/thielema/hmm-lapack-License: BSD-3-Clause-License-File: LICENSE-Author: Henning Thielemann-Maintainer: haskell@henning-thielemann.de-Category: Math-Build-Type: Simple-Extra-Source-Files:- Changes.md--Source-Repository this- Tag: 0.5.0.1- Type: darcs- Location: https://hub.darcs.net/thielema/hmm-lapack--Source-Repository head- Type: darcs- Location: https://hub.darcs.net/thielema/hmm-lapack--Library- Exposed-Modules:- Math.HiddenMarkovModel- Math.HiddenMarkovModel.Named- Math.HiddenMarkovModel.Distribution- Math.HiddenMarkovModel.Pattern- Math.HiddenMarkovModel.Example.TrafficLight- Math.HiddenMarkovModel.Example.SineWave- Math.HiddenMarkovModel.Example.Circle- Build-Depends:- private,- lapack >=0.5 && <0.6,- fixed-length >=0.2.1 && <0.3,- tfp >=1.0 && <1.1,- netlib-ffi >=0.1.1 && <0.2,- comfort-array-shape >=0.0 && <0.1,- comfort-array >=0.5 && <0.6,- explicit-exception >=0.1.7 && <0.3,- lazy-csv >=0.5 && <0.6,- transformers >= 0.2 && <0.7,- non-empty >=0.3.2 && <0.4,- semigroups >=0.17 && <1.0,- containers >=0.4.2 && <0.7,- utility-ht >=0.0.12 && <0.1,- deepseq >=1.3 && <1.5,- base >=4.5 && <5- Hs-Source-Dirs: src- Default-Language: Haskell2010- GHC-Options: -Wall--Library private- Exposed-Modules:- Math.HiddenMarkovModel.Public- Math.HiddenMarkovModel.Public.Distribution- Math.HiddenMarkovModel.Example.TrafficLightPrivate- Math.HiddenMarkovModel.Example.SineWavePrivate- Math.HiddenMarkovModel.Example.CirclePrivate- Math.HiddenMarkovModel.Normalized- Math.HiddenMarkovModel.Private- Math.HiddenMarkovModel.Utility- Math.HiddenMarkovModel.CSV- Build-Depends:- lapack,- tfp,- netlib-ffi,- comfort-array,- explicit-exception,- lazy-csv,- random >=1.0 && <1.3,- transformers,- non-empty,- semigroups,- containers,- utility-ht,- deepseq,- prelude-compat >=0.0 && <0.1,- base- Hs-Source-Dirs: private- Default-Language: Haskell2010- GHC-Options: -Wall--Test-Suite hmm-test- Type: exitcode-stdio-1.0- Build-Depends:- hmm-lapack,- private,- lapack,- comfort-array-shape,- comfort-array,- fixed-length,- tfp,- doctest-exitcode-stdio >=0.0 && <0.1,- doctest-lib >=0.1 && <0.1.2,- QuickCheck >=2.5 && <3,- random,- containers,- non-empty,- utility-ht,- deepseq,- base- Main-Is: Main.hs- Other-Modules:- Test- Test.Main- Test.Math.HiddenMarkovModel.Example.TrafficLightPrivate- Test.Math.HiddenMarkovModel.Example.SineWavePrivate- Test.Math.HiddenMarkovModel.Example.CirclePrivate- Test.Math.HiddenMarkovModel.Normalized- Hs-Source-Dirs: test- Default-Language: Haskell2010- GHC-Options: -Wall+Cabal-Version: 2.2 +Name: hmm-lapack +Version: 0.5.0.1 +x-revision: 2 +Synopsis: Hidden Markov Models using LAPACK primitives +Description: + Hidden Markov Models implemented using LAPACK data types and operations. + <http://en.wikipedia.org/wiki/Hidden_Markov_Model> + . + It implements: + . + * generation of samples of emission sequences, + . + * computation of the likelihood of an observed sequence of emissions, + . + * construction of most likely state sequence + that produces an observed sequence of emissions, + . + * supervised and unsupervised training of the model by Baum-Welch algorithm. + . + It supports any kind of emission distribution, + where discrete and multivariate Gaussian distributions + are implemented as examples. + . + For an introduction please refer to the examples: + . + * "Math.HiddenMarkovModel.Example.TrafficLight" + . + * "Math.HiddenMarkovModel.Example.SineWave" + . + * "Math.HiddenMarkovModel.Example.Circle" + . + An alternative package without foreign calls is @hmm@. +Homepage: https://hub.darcs.net/thielema/hmm-lapack +License: BSD-3-Clause +License-File: LICENSE +Author: Henning Thielemann +Maintainer: haskell@henning-thielemann.de +Category: Math +Build-Type: Simple +Extra-Source-Files: + Changes.md + +Source-Repository this + Tag: 0.5.0.1 + Type: darcs + Location: https://hub.darcs.net/thielema/hmm-lapack + +Source-Repository head + Type: darcs + Location: https://hub.darcs.net/thielema/hmm-lapack + +Library + Exposed-Modules: + Math.HiddenMarkovModel + Math.HiddenMarkovModel.Named + Math.HiddenMarkovModel.Distribution + Math.HiddenMarkovModel.Pattern + Math.HiddenMarkovModel.Example.TrafficLight + Math.HiddenMarkovModel.Example.SineWave + Math.HiddenMarkovModel.Example.Circle + Build-Depends: + private, + lapack >=0.5 && <0.6, + fixed-length >=0.2.1 && <0.3, + tfp >=1.0 && <1.1, + netlib-ffi >=0.1.1 && <0.2, + comfort-array-shape >=0.0 && <0.1, + comfort-array >=0.5 && <0.6, + explicit-exception >=0.1.7 && <0.3, + lazy-csv >=0.5 && <0.6, + transformers >= 0.2 && <0.7, + non-empty >=0.3.2 && <0.4, + semigroups >=0.17 && <1.0, + containers >=0.4.2 && <0.8, + utility-ht >=0.0.12 && <0.1, + deepseq >=1.3 && <1.6, + base >=4.5 && <5 + Hs-Source-Dirs: src + Default-Language: Haskell2010 + GHC-Options: -Wall + +Library private + Exposed-Modules: + Math.HiddenMarkovModel.Public + Math.HiddenMarkovModel.Public.Distribution + Math.HiddenMarkovModel.Example.TrafficLightPrivate + Math.HiddenMarkovModel.Example.SineWavePrivate + Math.HiddenMarkovModel.Example.CirclePrivate + Math.HiddenMarkovModel.Normalized + Math.HiddenMarkovModel.Private + Math.HiddenMarkovModel.Utility + Math.HiddenMarkovModel.CSV + Build-Depends: + lapack, + tfp, + netlib-ffi, + comfort-array, + explicit-exception, + lazy-csv, + random >=1.0 && <1.3, + transformers, + non-empty, + semigroups, + containers, + utility-ht, + deepseq, + prelude-compat >=0.0 && <0.1, + base + Hs-Source-Dirs: private + Default-Language: Haskell2010 + GHC-Options: -Wall + +Test-Suite hmm-test + Type: exitcode-stdio-1.0 + Build-Depends: + hmm-lapack, + private, + lapack, + comfort-array-shape, + comfort-array, + fixed-length, + tfp, + doctest-exitcode-stdio >=0.0 && <0.1, + doctest-lib >=0.1 && <0.1.2, + QuickCheck >=2.5 && <3, + random, + containers, + non-empty, + utility-ht, + deepseq, + base + Main-Is: Main.hs + Other-Modules: + Test + Test.Main + Test.Math.HiddenMarkovModel.Example.TrafficLightPrivate + Test.Math.HiddenMarkovModel.Example.SineWavePrivate + Test.Math.HiddenMarkovModel.Example.CirclePrivate + Test.Math.HiddenMarkovModel.Normalized + Hs-Source-Dirs: test + Default-Language: Haskell2010 + GHC-Options: -Wall
revision 3
Cabal-Version: 2.2 Name: hmm-lapack Version: 0.5.0.1 -x-revision: 2 +x-revision: 3 Synopsis: Hidden Markov Models using LAPACK primitives Description: Hidden Markov Models implemented using LAPACK data types and operations. transformers >= 0.2 && <0.7, non-empty >=0.3.2 && <0.4, semigroups >=0.17 && <1.0, - containers >=0.4.2 && <0.8, + containers >=0.4.2 && <0.9, utility-ht >=0.0.12 && <0.1, deepseq >=1.3 && <1.6, base >=4.5 && <5 comfort-array, explicit-exception, lazy-csv, - random >=1.0 && <1.3, + random >=1.0 && <1.4, transformers, non-empty, semigroups,