hmm-lapack 0.5 → 0.5.0.1

raw patch · 6 files changed

+8/−3 lines, 6 filesdep ~containersdep ~deepseqdep ~doctest-libPVP ok

version bump matches the API change (PVP)

Dependency ranges changed: containers, deepseq, doctest-lib, explicit-exception, random

API changes (from Hackage documentation)

Files

• hmm-lapack.cabal +3/−3
• private/Math/HiddenMarkovModel/Normalized.hs +1/−0
• private/Math/HiddenMarkovModel/Private.hs +1/−0
• private/Math/HiddenMarkovModel/Public.hs +1/−0
• src/Math/HiddenMarkovModel/Named.hs +1/−0
• src/Math/HiddenMarkovModel/Pattern.hs +1/−0

@@ -1,6 +1,6 @@ Cabal-Version:       2.2 Name:                hmm-lapack-Version:             0.5+Version:             0.5.0.1 Synopsis:            Hidden Markov Models using LAPACK primitives Description:   Hidden Markov Models implemented using LAPACK data types and operations.@@ -41,7 +41,7 @@   Changes.md  Source-Repository this-  Tag:         0.5+  Tag:         0.5.0.1   Type:        darcs   Location:    https://hub.darcs.net/thielema/hmm-lapack @@ -66,7 +66,7 @@     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 && <0.2,+    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,

@@ -1,4 +1,5 @@ {-# LANGUAGE TypeFamilies #-}+{-# LANGUAGE TypeOperators #-} {- | Counterparts to functions in "Math.HiddenMarkovModel.Private" that normalize interim results.

@@ -1,4 +1,5 @@ {-# LANGUAGE TypeFamilies #-}+{-# LANGUAGE TypeOperators #-} module Math.HiddenMarkovModel.Private where  import qualified Math.HiddenMarkovModel.Public.Distribution as Distr

@@ -1,4 +1,5 @@ {-# LANGUAGE TypeFamilies #-}+{-# LANGUAGE TypeOperators #-} module Math.HiddenMarkovModel.Public (    T(..),    Discrete, DiscreteTrained,

@@ -1,4 +1,5 @@ {-# LANGUAGE TypeFamilies #-}+{-# LANGUAGE TypeOperators #-} module Math.HiddenMarkovModel.Named (    T(..),    Discrete,

@@ -1,4 +1,5 @@ {-# LANGUAGE TypeFamilies #-}+{-# LANGUAGE TypeOperators #-} {- | This module provides a simple way to train the transition matrix and initial probability vector