| Name : R-rminer
| |
| Version : 1.4.6
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.27.5
| Date : 2024-06-14 12:10:20
|
| Group : Development/Libraries/Other
| Source RPM : R-rminer-1.4.6-lp153.27.5.src.rpm
|
| Size : 0.96 MB
| |
| Packager : (none)
| |
| Summary : Data Mining Classification and Regression Methods
|
Description :
Facilitates the use of data mining algorithms in classification and
regression (including time series forecasting) tasks by presenting a
short and coherent set of functions. Versions: 1.4.6 / 1.4.5 / 1.4.4
new automated machine learning (AutoML) and ensembles, via improved
fit(), mining() and mparheuristic() functions, and new categorical
preprocessing, via improved delevels() function; 1.4.3 new metrics
(e.g., macro precision, explained variance), new \"lssvm\" model and
improved mparheuristic() function; 1.4.2 new \"NMAE\" metric, \"xgboost\"
and \"cv.glmnet\" models (16 classification and 18 regression models);
1.4.1 new tutorial and more robust version; 1.4 - new classification
and regression models, with a total of 14 classification and 15
regression methods, including: Decision Trees, Neural Networks, Support
Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 -
new classification and regression metrics; 1.2 - new input importance
methods via improved Importance() function; 1.0 - first version.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
