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)
Changes
0.2.0.3
Further GHC portability
0.2.0.2
Improve GHC portability
0.2.0.1
Bugfix: include embedded data files in cabal extra-source-files