| Name : R-metaEnsembleR
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.24.1
| Date : 2024-07-04 12:23:48
|
| Group : Development/Libraries/Other
| Source RPM : R-metaEnsembleR-0.1.0-lp155.24.1.src.rpm
|
| Size : 0.92 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Automated Intuitive Package for Meta-Ensemble Learning
|
Description :
Extends the base classes and methods of \'caret\' package for integration
of base learners. The user can input the number of different base
learners, and specify the final learner, along with the
train-validation-test data partition split ratio. The predictions on
the unseen new data is the resultant of the ensemble meta-learning
< https://machinelearningmastery.com/stacking-ensemble-machine-learning-with-python/>
of the heterogeneous learners aimed to reduce the generalization error
in the predictive models. It significantly lowers the barrier for the
practitioners to apply heterogeneous ensemble learning techniques in an
amateur fashion to their everyday predictive problems.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
