| Name : R-mlrMBO
| |
| Version : 1.1.5.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.11.1
| Date : 2024-06-08 09:43:40
|
| Group : Development/Libraries/Other
| Source RPM : R-mlrMBO-1.1.5.1-lp154.11.1.src.rpm
|
| Size : 1.63 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
|
Description :
Flexible and comprehensive R toolbox for model-based optimization
(\'MBO\'), also known as Bayesian optimization. It implements the
Efficient Global Optimization Algorithm and is designed for both
single- and multi- objective optimization with mixed continuous,
categorical and conditional parameters. The machine learning toolbox
\'mlr\' provide dozens of regression learners to model the performance of
the target algorithm with respect to the parameter settings. It
provides many different infill criteria to guide the search process.
Additional features include multi-point batch proposal, parallel
execution as well as visualization and sophisticated logging
mechanisms, which is especially useful for teaching and understanding
of algorithm behavior. \'mlrMBO\' is implemented in a modular fashion,
such that single components can be easily replaced or adapted by the
user for specific use cases.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
