| Name : R-misspi
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.6.2
| Date : 2024-06-14 12:04:49
|
| Group : Development/Libraries/Other
| Source RPM : R-misspi-0.1.0-lp153.6.2.src.rpm
|
| Size : 0.63 MB
| |
| Packager : (none)
| |
| Summary : Missing Value Imputation in Parallel
|
Description :
A framework that boosts the imputation of \'missForest\' by Stekhoven,
D.J. and Bühlmann, P. (2012) < doi:10.1093/bioinformatics/btr597> by
harnessing parallel processing and through the fast Gradient Boosted
Decision Trees (GBDT) implementation \'LightGBM\' by Ke, Guolin et
al.(2017)
< https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>.
\'misspi\' has the following main advantages: 1. Allows embrassingly
parallel imputation on large scale data. 2. Accepts a variety of
machine learning models as methods with friendly user portal. 3.
Supports multiple initializations methods. 4. Supports early stopping
that prohibits unnecessary iterations.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
