| Name : R-CORElearn
| |
| Version : 0.9.43
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.1.1
| Date : 2024-06-21 19:45:11
|
| Group : Development/Libraries/Other
| Source RPM : R-CORElearn-0.9.43-lp156.1.1.src.rpm
|
| Size : 0.96 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : CORElearn - classification, regression, feature evaluation and ordinal evaluation
|
Description :
CORElearn is machine learning suite ported to R from standalone C++
package. It contains several model learning techniques in classification
and regression, for example classification and regression trees with
optional constructive induction and models in the leafs, random forests,
kNN, naive Bayes, and locally weighted regression. It is especially strong
in feature evaluation algorithms where it contains several variants of
Relief algorithm and many impurity based attribute evaluation functions,
e.g., Gini, information gain, MDL, DKM, ... Its additional strength is
ordEval algorithm and its visualization used for ordinal features and
class. Several algorithms support parallel multithreaded execution via
OpenMP. The top level documentation is reachable through ?CORElearn.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/released/15.6/x86_64 |
