hmm-lapack 0.4.1 → 0.5.0.1

raw patch · 7 files changed

Files

• hmm-lapack.cabal +5/−5
• private/Math/HiddenMarkovModel/Normalized.hs +1/−0
• private/Math/HiddenMarkovModel/Private.hs +1/−0
• private/Math/HiddenMarkovModel/Public.hs +1/−0
• private/Math/HiddenMarkovModel/Public/Distribution.hs +7/−4
• 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:             0.4.1+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:         0.4.1+  Tag:         0.5.0.1   Type:        darcs   Location:    https://hub.darcs.net/thielema/hmm-lapack @@ -60,15 +60,15 @@     Math.HiddenMarkovModel.Example.Circle   Build-Depends:     private,-    lapack >=0.4 && <0.5,+    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 && <0.2,+    explicit-exception >=0.1.7 && <0.3,     lazy-csv >=0.5 && <0.6,-    transformers >= 0.2 && <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,

@@ -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,

@@ -117,7 +117,7 @@ class Format typ where    format ::       (Shape.C sh, Output out, Class.Real prob) =>-      String -> T typ sh prob -> out+      Format.Config -> T typ sh prob -> out  instance    (Format typ, Shape.C sh, Class.Real prob) =>@@ -200,7 +200,8 @@       Output.formatAligned $       map (\(sym,v) ->             map (Identity . Output.text) $-            (show sym ++ ":") : map (printFmt fmt) (Vector.toList v)) $+            (show sym ++ ":") :+               map (printFmt $ Format.configFormat fmt) (Vector.toList v)) $       Array.toAssociations $ Matrix.toRowArray m  -- cf. Data.Bifunctor.Flip@@ -287,8 +288,10 @@    format = runFormatGaussian $ Class.switchReal formatGaussian formatGaussian  newtype FormatGaussian out emiSh stateSh a =-   FormatGaussian-      {runFormatGaussian :: String -> T (Gaussian emiSh) stateSh a -> out}+   FormatGaussian {+      runFormatGaussian ::+         Format.Config -> T (Gaussian emiSh) stateSh a -> out+   }  formatGaussian ::    (FormatArray emiSh, Shape.C stateSh,

@@ -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