feat(naivebayes): implement NaiveBayes algorithm

feat(example): a document classifier using NaiveBayes over reuters data

sibe.cabal

@@ -15,11 +15,13 @@ cabal-version:       >=1.10
 
 library
   hs-source-dirs:      src
-  exposed-modules:     Sibe
+  exposed-modules:     Sibe, Sibe.NaiveBayes
   build-depends:       base >= 4.7 && < 5
                      , hmatrix
                      , random
                      , deepseq
+                     , containers
+                     , split
   default-language:    Haskell2010
 
 executable sibe-exe
@@ -40,6 +42,16 @@ executable example-xor
                      , hmatrix
   default-language:    Haskell2010
 
+executable example-naivebayes-doc-classifier
+  hs-source-dirs:      examples
+  main-is:             naivebayes-doc-classifier.hs
+  ghc-options:         -threaded -rtsopts -with-rtsopts=-N
+  build-depends:       base
+                     , sibe
+                     , hmatrix
+                     , containers
+  default-language:    Haskell2010
+
 test-suite sibe-test
   type:                exitcode-stdio-1.0
   hs-source-dirs:      test