Cabal revisions of datasets-0.1.0

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

-Name:                datasets-Version:             0.1.0-Synopsis:            Classical data sets for statistics and machine learning-Description:         Classical machine learning and statistics datasets from-                     the UCI Machine Learning Repository and other sources.-                     .-                     > import Numeric.Datasets (getDataset)-                     > import Numeric.Datasets.Iris (iris)-                     >-                     > main = do-                     >   irises <- getDataset iris-                     >   print (length irises)-                     >   print (head irises)--License:             MIT-License-file:        LICENSE-Author:              Tom Nielsen <tanielsen@gmail.com>-Maintainer:          Tom Nielsen <tanielsen@gmail.com>-build-type:          Simple-Cabal-Version: 	     >= 1.8-homepage:            https://github.com/glutamate/datasets-category:            Statistics, Machine Learning, Data Mining, Data--Data-files:-        datafiles/iris.data--source-repository head-  type:     git-  location: https://github.com/glutamate/uci-datasets---Library-   ghc-options:       -Wall-   hs-source-dirs:    src--   Exposed-modules:-                   Numeric.Datasets-                 , Numeric.Datasets.Anscombe-                 , Numeric.Datasets.OldFaithful-                 , Numeric.Datasets.Abalone-                 , Numeric.Datasets.Adult-                 , Numeric.Datasets.BreastCancerWisconsin-                 , Numeric.Datasets.Car-                 , Numeric.Datasets.Iris-                 , Numeric.Datasets.Wine--   Build-depends:-                 base                    >= 4.6 && < 5-               , cassava-               , HTTP-               , hashable-               , filepath-               , bytestring-               , directory-               , vector-               , text-               , stringsearch+Name:                datasets
+Version:             0.1.0
+x-revision: 1
+Synopsis:            Classical data sets for statistics and machine learning
+Description:         Classical machine learning and statistics datasets from
+                     the UCI Machine Learning Repository and other sources.
+                     .
+                     > import Numeric.Datasets (getDataset)
+                     > import Numeric.Datasets.Iris (iris)
+                     >
+                     > main = do
+                     >   irises <- getDataset iris
+                     >   print (length irises)
+                     >   print (head irises)
+
+License:             MIT
+License-file:        LICENSE
+Author:              Tom Nielsen <tanielsen@gmail.com>
+Maintainer:          Tom Nielsen <tanielsen@gmail.com>
+build-type:          Simple
+Cabal-Version: 	     >= 1.8
+homepage:            https://github.com/glutamate/datasets
+category:            Statistics, Machine Learning, Data Mining, Data
+
+Data-files:
+        datafiles/iris.data
+
+source-repository head
+  type:     git
+  location: https://github.com/glutamate/uci-datasets
+
+
+Library
+   ghc-options:       -Wall
+   hs-source-dirs:    src
+
+   Exposed-modules:
+                   Numeric.Datasets
+                 , Numeric.Datasets.Anscombe
+                 , Numeric.Datasets.OldFaithful
+                 , Numeric.Datasets.Abalone
+                 , Numeric.Datasets.Adult
+                 , Numeric.Datasets.BreastCancerWisconsin
+                 , Numeric.Datasets.Car
+                 , Numeric.Datasets.Iris
+                 , Numeric.Datasets.Wine
+
+   Build-depends:
+                 base                    >= 4.8 && < 5
+               , cassava
+               , HTTP
+               , hashable
+               , filepath
+               , bytestring
+               , directory
+               , vector
+               , text
+               , stringsearch