homepage: https://github.com/glutamate/datasets
changelog-type: ''
hash: bfbfaaeaead60755a20adeaa5a7a23c9bfcb7d2bfca23e776c5819573eb257d5
test-bench-deps: {}
maintainer: Tom Nielsen <tanielsen@gmail.com>
synopsis: Classical data sets for statistics and machine learning
changelog: ''
basic-deps:
  bytestring: -any
  base: ! '>=4.6 && <5'
  text: -any
  stringsearch: -any
  filepath: -any
  cassava: -any
  hashable: -any
  HTTP: -any
  vector: -any
  directory: -any
all-versions:
- '0.1.0'
author: Tom Nielsen <tanielsen@gmail.com>
latest: '0.1.0'
description-type: haddock
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-name: MIT

Update from Hackage at 2016-11-24T21:53:29Z
Update from Hackage at 2016-11-24T21:53:29Z