| Name : R-evtree
| |
| Version : 1.0.8
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.2.1
| Date : 2023-09-05 17:42:16
|
| Group : Development/Libraries/Other
| Source RPM : R-evtree-1.0.8-lp155.2.1.src.rpm
|
| Size : 1.34 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Evolutionary Learning of Globally Optimal Trees
|
Description :
Commonly used classification and regression tree methods like the CART
algorithm are recursive partitioning methods that build the model in a
forward stepwise search. Although this approach is known to be an
efficient heuristic, the results of recursive tree methods are only
locally optimal, as splits are chosen to maximize homogeneity at the
next step only. An alternative way to search over the parameter space
of trees is to use global optimization methods like evolutionary
algorithms. The \'evtree\' package implements an evolutionary algorithm
for learning globally optimal classification and regression trees in R.
CPU and memory-intensive tasks are fully computed in C++ while the
\'partykit\' package is leveraged to represent the resulting trees in R,
providing unified infrastructure for summaries, visualizations, and
predictions.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
