| Name : R-healthcareai
| |
| Version : 2.5.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.7
| Date : 2024-06-14 12:08:54
|
| Group : Development/Libraries/Other
| Source RPM : R-healthcareai-2.5.1-lp153.3.7.src.rpm
|
| Size : 0.60 MB
| |
| Packager : (none)
| |
| Summary : Tools for Healthcare Machine Learning
|
Description :
Aims to make machine learning in healthcare as easy as possible. You
can develop customized, reliable, high-performance machine learning
models with minimal code. Models are created with automatic
preprocessing, hyperparameter tuning, and algorithm selection (between
\'xgboost\' Chen, T. & Guestrin, C. (2016) < arXiv:1603.02754>, \'ranger\'
Wright, M. N., & Ziegler, A. (2017) < doi:10.18637/jss.v077.i01>, and
\'glm\' Friedman J, Hastie T, Tibshirani R. (2010)
< doi:10.18637/jss.v033.i01>) so that they can be easily put into
production. Additionally, there are tools to help understand how a
model makes its predictions, select prediction threshholds for
operational use, and evaluate model performance over time. Code uses
\'tidyverse\' syntax and most methods have an associated visualization.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
