| Name : ghc-datasets
| |
| Version : 0.2.1
| Vendor : openSUSE
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| Release : bp150.2.7
| Date : 2018-07-30 21:06:26
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| Group : Development/Languages/Other
| Source RPM : ghc-datasets-0.2.1-bp150.2.7.src.rpm
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| Size : 2.07 MB
| |
| Packager : https://bugs_opensuse_org
| |
| Summary : 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.
> 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).
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/openSUSE:/Backports:/SLE-15/standard/x86_64 |
