| Name : R-STPGA
| |
| Version : 5.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.7.4
| Date : 2024-06-14 11:34:30
|
| Group : Development/Libraries/Other
| Source RPM : R-STPGA-5.2.1-lp153.7.4.src.rpm
|
| Size : 0.52 MB
| |
| Packager : (none)
| |
| Summary : Selection of Training Populations by Genetic Algorithm
|
Description :
Combining Predictive Analytics and Experimental Design to Optimize
Results. To be utilized to select a test data calibrated training
population in high dimensional prediction problems and assumes that the
explanatory variables are observed for all of the individuals. Once a
\"good\" training set is identified, the response variable can be
obtained only for this set to build a model for predicting the response
in the test set. The algorithms in the package can be tweaked to solve
some other subset selection problems.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
