| Name : R-multiclassPairs
| |
| Version : 0.4.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.18.1
| Date : 2024-09-10 03:41:26
|
| Group : Development/Libraries/Other
| Source RPM : R-multiclassPairs-0.4.3-lp156.18.1.src.rpm
|
| Size : 2.62 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Build MultiClass Pair-Based Classifiers using TSPs or RF
|
Description :
A toolbox to train a single sample classifier that uses in-sample
feature relationships. The relationships are represented as feature1 <
feature2 (e.g. gene1 < gene2). We provide two options to go with. First
is based on \'switchBox\' package which uses Top-score pairs algorithm.
Second is a novel implementation based on random forest algorithm. For
simple problems we recommend to use one-vs-rest using TSP option due to
its simplicity and for being easy to interpret. For complex problems
RF performs better. Both lines filter the features first then combine
the filtered features to make the list of all the possible rules (i.e.
rule1: feature1 < feature2, rule2: feature1 < feature3, etc...). Then
the list of rules will be filtered and the most important and
informative rules will be kept. The informative rules will be assembled
in an one-vs-rest model or in an RF model. We provide a detailed
description with each function in this package to explain the
filtration and training methodology in each line. Reference: Marzouka &
Eriksson (2021) < doi:10.1093/bioinformatics/btab088>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
