datasets: Classical data sets for statistics and machine learning
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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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- datasets-0.1.0.1.tar.gz [browse] (Cabal source package)
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Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.
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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 |
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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 2019-02-12T09:04:16Z |
Category | Statistics, Machine Learning, Data Mining, Data |
Home page | https://github.com/glutamate/datasets |
Bug tracker | https://github.com/glutamate/datasets/issues |
Source repo | head: git clone https://github.com/glutamate/datasets |
Uploaded | by glutamate at 2016-11-24T22:11:50Z |
Distributions | |
Reverse Dependencies | 1 direct, 1 indirect [details] |
Downloads | 10274 total (14 in the last 30 days) |
Rating | 2.0 (votes: 1) [estimated by Bayesian average] |
Your Rating | |
Status | Docs available [build log] Last success reported on 2016-11-24 [all 1 reports] |