| Name : ghc-datasets
| |
| Version : 0.2.1
| Vendor : obs://build_opensuse_org/devel:languages:haskell
|
| Release : 8.1
| Date : 2018-01-12 17:54:16
|
| Group : Development/Libraries/Haskell
| Source RPM : ghc-datasets-0.2.1-8.1.src.rpm
|
| Size : 2.08 MB
| |
| Packager : (none)
| |
| 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).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/haskell:/lts:/8/openSUSE_Leap_42.2/x86_64 |
Hmm ... It's impossible ;-) This RPM doesn't exist on any FTP server
Provides :
ghc-datasets
ghc-datasets(x86-64)
libHSdatasets-0.2.1-1qxB3WCHU889Y9XxBfbGEL-ghc8.0.2.so()(64bit)
Requires :
