Package Info


Classical data sets for statistics and machine learning


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.

> 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).

License: MIT



Package Version Update ID Released Package Hub Version Platforms Subpackages
0.2.1-bp150.2.4 info GA Release 2018-07-31 15
  • AArch64
  • ppc64le
  • ghc-datasets
  • ghc-datasets-devel
0.2.1-bp150.2.7 info GA Release 2018-07-30 15
  • x86-64
  • ghc-datasets
  • ghc-datasets-devel