The datasets package

[Tags:library, mit]

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
Change log changelog.md
Dependencies aeson, 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>
Stability Unknown
Category Statistics, Machine Learning, Data Mining, Data
Home page https://github.com/glutamate/datasets
Bug tracker https://github.com/glutamate/datasets/issues
Source repository head: git clone https://github.com/glutamate/datasets
Uploaded Tue Dec 20 21:21:02 UTC 2016 by glutamate
Distributions LTSHaskell:0.2.1, NixOS:0.2.3, Tumbleweed:0.2.1
Downloads 205 total (21 in the last 30 days)
Votes
0 []
Status Docs available [build log]
Last success reported on 2016-12-20 [all 1 reports]

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