HLearn-distributions 0.0.1.2 → 0.0.1.3

raw patch · 2 files changed

+8/−3 lines, 2 filesdep ~vector-th-unboxPVP ok

version bump matches the API change (PVP)

Dependency ranges changed: vector-th-unbox

API changes (from Hackage documentation)

Files

• HLearn-distributions.cabal +2/−2
• src/HLearn/Models/Distributions/Gaussian.lhs +6/−1

@@ -1,5 +1,5 @@ Name:                HLearn-distributions-Version:             0.0.1.2+Version:             0.0.1.3 Synopsis:            Distributions for use with the HLearn library Description:         This module is used to estimate statistical distributions from data.  The focus is a clean interface inspired by algebra. Category:            Data Mining, Machine Learning, Statistics@@ -63,7 +63,7 @@                  QuickCheck              >= 2.5.1,         vector                  >= 0.9,-        vector-th-unbox         == 0.1.0.1,+        vector-th-unbox         >= 0.2,                  -- are these really necessary?         MonadRandom             >= 0.1.6,

@@ -183,8 +183,13 @@ --     [| \ (Gaussian n m1 m2 f) -> (n,m1,m2,f) |] --     [| \ (n,m1,m2,f) -> (Gaussian n m1 m2 f) |] +-- derivingUnbox "Gaussian"+--     [d| instance (U.Unbox a) => Unbox' (Gaussian a) (Int, a, a, Int) |]+--     [| \ (Gaussian n m1 m2 dc) -> (n,m1,m2,dc) |]+--     [| \ (n,m1,m2,dc) -> (Gaussian n m1 m2 dc) |]+ derivingUnbox "Gaussian"-    [d| instance (U.Unbox a) => Unbox' (Gaussian a) (Int, a, a, Int) |]+    [t| (U.Unbox a) => (Gaussian a) -> (Int, a, a, Int) |]     [| \ (Gaussian n m1 m2 dc) -> (n,m1,m2,dc) |]     [| \ (n,m1,m2,dc) -> (Gaussian n m1 m2 dc) |]