datasets

Version 0.3.0 revision 0 uploaded 2018-12-31T14:42:11.000Z by ocramz.

Package meta

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.

The datafiles/ directory of this package includes copies of a few famous datasets, such as Titanic, Nightingale and Michelson.

Example :

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)

Author

Tom Nielsen <tanielsen@gmail.com>

Bug reports

https://github.com/DataHaskell/dh-core/issues

Category

Statistics, Machine Learning, Data Mining, Data

Copyright

n/a

Homepage

https://github.com/DataHaskell/dh-core

Maintainer

Marco Zocca <ocramz fripost org>

Package URL

n/a

Stability

n/a

Components

• lib:datasets