The datasets package

[ Tags: data, data-mining, library, machine-learning, mit, statistics ] [ Propose Tags ]

Classical machine learning and statistics datasets from the UCI Machine Learning Repository and other sources.

The datasets package defines two different kinds of datasets:

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)

Properties

Versions 0.1.0, 0.1.0.1, 0.2, 0.2.0.1, 0.2.0.2, 0.2.0.3, 0.2.1, 0.2.2, 0.2.3, 0.2.4, 0.2.5
Change log changelog.md
Dependencies aeson, attoparsec (>=0.13), base (>=4.6 && <5), bytestring, cassava, directory, file-embed, filepath, hashable, microlens, stringsearch, text, time, vector, wreq [details]
License MIT
Author Tom Nielsen <tanielsen@gmail.com>
Maintainer Tom Nielsen <tanielsen@gmail.com>
Category Statistics, Machine Learning, Data Mining, Data
Home page https://github.com/diffusionkinetics/open/datasets
Bug tracker https://github.com/diffusionkinetics/open/issues
Source repository head: git clone https://github.com/diffusionkinetics/open
Uploaded Mon Jul 31 15:19:16 UTC 2017 by glutamate
Distributions NixOS:0.2.5, Stackage:0.2.5, Tumbleweed:0.2.1
Downloads 597 total (56 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2017-07-31 [all 1 reports]
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