HaskellLM 0.1.1 → 0.1.2

raw patch · 2 files changed

+5/−5 lines, 2 filesPVP ok

version bump matches the API change (PVP)

API changes (from Hackage documentation)

Files

• HaskellLM.cabal +2/−2
• src/Math/LevenbergMarquardt.hs +3/−3

@@ -1,5 +1,5 @@ Name:         HaskellLM-Version:      0.1.1+Version:      0.1.2 License:      GPL License-file: LICENSE Author:       Kiet Lam@@ -7,7 +7,7 @@ Synopsis:     Pure Haskell implementation of the Levenberg-Marquardt algorithm Description:  The Levenberg-Marquardt algorithm is a minimization algorithm for functions expressed as a sum of squared errors               .-              This can be used for curve-fitting, multidimensional function optimization, or neural networks training+              This can be used for curve-fitting, multidimensional function minimization, and neural networks training               .               Go to <https://github.com/ktklam9/HaskellLM> for example usage (in tests) 

@@ -11,7 +11,7 @@ -- errors -- -- This can be used for curve-fitting, multidimensional--- function optimization, or neural networks training+-- function minimization, and neural networks training -- -- ----------------------------------------------------@@ -107,9 +107,9 @@        newErrValue = (sumSquared . func) newParam   in-   case abs(newErrValue - errValue) < prec of+   case norm2(gradients) < prec of      True -> (newParam, newParam:mat)      False ->        case newErrValue > errValue of-         True  -> lmMinimizeInternal func jacob param prec errValue (lambda * beta) beta (iter - 1) mat+         True  -> lmMinimizeInternal func jacob param prec errValue (lambda * beta) beta iter mat          False -> lmMinimizeInternal func jacob newParam prec newErrValue (lambda / beta) beta (iter - 1) (newParam:mat)