datasets: Classical data sets for statistics and machine learning

[ 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.

import Numeric.Datasets (getDataset)
import Numeric.Datasets.Iris (iris)

main = do
  irises <- getDataset iris
  print (length irises)
  print (head irises)

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Versions [RSS] 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, 0.3.0, 0.4.0
Dependencies base (>=4.8 && <5), bytestring, cassava, directory, filepath, hashable, HTTP, stringsearch, text, vector [details]
License MIT
Author Tom Nielsen <tanielsen@gmail.com>
Maintainer Tom Nielsen <tanielsen@gmail.com>
Revised Revision 1 made by HerbertValerioRiedel at 2019-02-12T09:04:17Z
Category Statistics, Machine Learning, Data Mining, Data
Home page https://github.com/glutamate/datasets
Source repo head: git clone https://github.com/glutamate/uci-datasets
Uploaded by glutamate at 2016-11-24T21:46:49Z
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Reverse Dependencies 1 direct, 1 indirect [details]
Downloads 9901 total (55 in the last 30 days)
Rating 2.0 (votes: 1) [estimated by Bayesian average]
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Status Docs available [build log]
Last success reported on 2016-11-24 [all 1 reports]