datasets-0.2.3: datasets.cabal
Name: datasets
Version: 0.2.3
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.
.
The datasets package defines two different kinds of datasets:
.
* small data sets which are directly (or indirectly with `file-embed`)
embedded in the package as pure values and do not require network or IO to download
the data set. This includes Iris, Anscombe and OldFaithful.
.
* other data sets which need to be fetched over the network with
`Numeric.Datasets.getDataset` and are cached in a local temporary directory.
.
> import Numeric.Datasets (getDataset)
> import Numeric.Datasets.Iris (iris)
> import Numeric.Datasets.Abalone (abalone)
>
> main = do
> -- The Iris data set is embedded
> print (length iris)
> print (head iris)
> -- The Abalone dataset is fetched
> abas <- getDataset abalone
> print (length abas)
> print (head abas)
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
bug-reports: https://github.com/glutamate/datasets/issues
category: Statistics, Machine Learning, Data Mining, Data
Tested-With: GHC == 7.6.3, GHC == 7.8.4, GHC == 7.10.2, GHC == 7.10.3, GHC == 8.0.1
extra-source-files:
changelog.md
datafiles/iris.data
datafiles/michelson.json
datafiles/nightingale.json
source-repository head
type: git
location: https://github.com/glutamate/datasets
Library
ghc-options: -Wall
hs-source-dirs: src
other-extensions: TemplateHaskell
Exposed-modules:
Numeric.Datasets
, Numeric.Datasets.Anscombe
, Numeric.Datasets.BostonHousing
, Numeric.Datasets.OldFaithful
, Numeric.Datasets.Abalone
, Numeric.Datasets.Adult
, Numeric.Datasets.BreastCancerWisconsin
, Numeric.Datasets.Car
, Numeric.Datasets.Coal
, Numeric.Datasets.CO2
, Numeric.Datasets.Gapminder
, Numeric.Datasets.Iris
, Numeric.Datasets.Michelson
, Numeric.Datasets.Nightingale
, Numeric.Datasets.Quakes
, Numeric.Datasets.States
, Numeric.Datasets.Sunspots
, Numeric.Datasets.UN
, Numeric.Datasets.Vocabulary
, Numeric.Datasets.Wine
, Numeric.Datasets.WineQuality
Build-depends:
base >= 4.6 && < 5
, cassava
, wreq
, hashable
, filepath
, bytestring
, directory
, vector
, text
, stringsearch
, file-embed
, aeson
, time
, microlens