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Cabal revisions of HLearn-classification-1.0.1.3

Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.

revision 1
-Name:                HLearn-classification-Version:             1.0.1.3-Description:         This module is for unsupervised, supervised, and semi-supervised classification tasks.  It is in desperate need of documentation and refactoring.-Category:            Data Mining, Machine Learning-License:             BSD3---License-file:        LICENSE-Author:              Mike izbicki-Maintainer:          mike@izbicki.me-Build-Type:          Simple-Cabal-Version:       >=1.8-homepage:            http://github.com/mikeizbicki/HLearn/-bug-reports:         http://github.com/mikeizbicki/HLearn/issues--Library-    Build-Depends:      -        base                    >= 3 && < 5,-        HLearn-algebra          >= 1.0.0,-        HLearn-distributions    >= 1.0.0.2 && < 1.1,-        ConstraintKinds         >= 0.0.1,--        -- are these really necessary?-        -        dlist                   >= 0.5,-        -        parsec                  >= 3.1.3,-        --Safe                    >= 0.1,-        bytestring              >= 0.10.0.0,-        primitive               >= 0.4.1,-        --split                   >= 0.2.1.1,-        list-extras             >= 0.4.1,-        containers              >= 0.5,-        statistics              >= 0.10.2,-        -        QuickCheck              >= 2.5.1,-        vector                  >= 0.9,-        vector-th-unbox         >= 0.1,-        -        MonadRandom             >= 0.1.6,-        logfloat                >= 0.12.0,-        math-functions          >= 0.1.1,-        normaldistribution      >= 1.1.0,-        deepseq                 >= 1.3.0,-        hashable                >= 1.1.2.5,-        binary                  >= 0.5.1-        -    hs-source-dirs:     src-    ghc-options:        -        -rtsopts -        -- -auto-all -        -- -caf-all -        -funbox-strict-fields-        -O2 -        -- -fllvm-    Exposed-modules:-        HLearn.Models.Classifiers-        HLearn.Models.Classifiers.Common-        HLearn.Models.Classifiers.Bayes-        HLearn.Models.Classifiers.NearestNeighbor-        HLearn.Models.Classifiers.Perceptron-        HLearn.Models.Classifiers.Centroid-        HLearn.Models.Classifiers.Experimental.Boosting.FiniteBoost-        HLearn.Models.Classifiers.Experimental.Boosting.MonoidBoost-        HLearn.Models.Regression.PowerLaw-        HLearn.Evaluation.CrossValidation-        HLearn.Evaluation.RSquared-    Extensions:-        FlexibleInstances-        FlexibleContexts-        MultiParamTypeClasses-        FunctionalDependencies-        UndecidableInstances-        ScopedTypeVariables-        BangPatterns-        TypeOperators-        GeneralizedNewtypeDeriving-        --DataKinds-        TypeFamilies-        --PolyKinds-        StandaloneDeriving-        GADTs-        KindSignatures-        ConstraintKinds+Name:                HLearn-classification
+Version:             1.0.1.3
+x-revision: 1
+Description:         
+    This package is deprecated.  The latest version of HLearn is available from the github repo at: <http://github.com/mikeizbicki/hlearn>.  If you want to use HLearn, I strongly recommend you contact me (mike@izbicki.me) first to see if HLearn will really fit your needs.
+
+Category:            Data Mining, Machine Learning
+License:             BSD3
+--License-file:        LICENSE
+Author:              Mike izbicki
+Maintainer:          mike@izbicki.me
+Build-Type:          Simple
+Cabal-Version:       >=1.8
+homepage:            http://github.com/mikeizbicki/HLearn/
+bug-reports:         http://github.com/mikeizbicki/HLearn/issues
+
+Library
+    Build-Depends:      
+        base                    >= 3 && < 5,
+        HLearn-algebra          >= 1.0.0,
+        HLearn-distributions    >= 1.0.0.2 && < 1.1,
+        ConstraintKinds         >= 0.0.1,
+
+        -- are these really necessary?
+        
+        dlist                   >= 0.5,
+        
+        parsec                  >= 3.1.3,
+        --Safe                    >= 0.1,
+        bytestring              >= 0.10.0.0,
+        primitive               >= 0.4.1,
+        --split                   >= 0.2.1.1,
+        list-extras             >= 0.4.1,
+        containers              >= 0.5,
+        statistics              >= 0.10.2,
+        
+        QuickCheck              >= 2.5.1,
+        vector                  >= 0.9,
+        vector-th-unbox         >= 0.1,
+        
+        MonadRandom             >= 0.1.6,
+        logfloat                >= 0.12.0,
+        math-functions          >= 0.1.1,
+        normaldistribution      >= 1.1.0,
+        deepseq                 >= 1.3.0,
+        hashable                >= 1.1.2.5,
+        binary                  >= 0.5.1
+        
+    hs-source-dirs:     src
+    ghc-options:        
+        -rtsopts 
+        -- -auto-all 
+        -- -caf-all 
+        -funbox-strict-fields
+        -O2 
+        -- -fllvm
+    Exposed-modules:
+        HLearn.Models.Classifiers
+        HLearn.Models.Classifiers.Common
+        HLearn.Models.Classifiers.Bayes
+        HLearn.Models.Classifiers.NearestNeighbor
+        HLearn.Models.Classifiers.Perceptron
+        HLearn.Models.Classifiers.Centroid
+        HLearn.Models.Classifiers.Experimental.Boosting.FiniteBoost
+        HLearn.Models.Classifiers.Experimental.Boosting.MonoidBoost
+        HLearn.Models.Regression.PowerLaw
+        HLearn.Evaluation.CrossValidation
+        HLearn.Evaluation.RSquared
+    Extensions:
+        FlexibleInstances
+        FlexibleContexts
+        MultiParamTypeClasses
+        FunctionalDependencies
+        UndecidableInstances
+        ScopedTypeVariables
+        BangPatterns
+        TypeOperators
+        GeneralizedNewtypeDeriving
+        --DataKinds
+        TypeFamilies
+        --PolyKinds
+        StandaloneDeriving
+        GADTs
+        KindSignatures
+        ConstraintKinds