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R-ELMR rpm build for : openSUSE Leap 15. For other distributions click R-ELMR.

Name : R-ELMR
Version : 1.0 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.2.13 Date : 2024-06-14 11:00:46
Group : Development/Libraries/Other Source RPM : R-ELMR-1.0-lp153.2.13.src.rpm
Size : 0.03 MB
Packager : (none)
Summary : Extreme Machine Learning (ELM)
Description :
Training and prediction functions are provided for the Extreme Learning
Machine algorithm (ELM). The ELM use a Single Hidden Layer Feedforward
Neural Network (SLFN) with random generated weights and no
gradient-based backpropagation. The training time is very short and the
online version allows to update the model using small chunk of the
training set at each iteration. The only parameter to tune is the
hidden layer size and the learning function.

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64

Content of RPM  Provides Requires

Download
ftp.icm.edu.pl  R-ELMR-1.0-lp153.2.13.x86_64.rpm
     

Provides :
R-ELMR
R-ELMR(x86-64)

Requires :
R-base
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsXz) <= 5.2-1


Content of RPM :
/usr/lib64/R/library/ELMR
/usr/lib64/R/library/ELMR/DESCRIPTION
/usr/lib64/R/library/ELMR/INDEX
/usr/lib64/R/library/ELMR/Meta
/usr/lib64/R/library/ELMR/Meta/Rd.rds
/usr/lib64/R/library/ELMR/Meta/features.rds
/usr/lib64/R/library/ELMR/Meta/hsearch.rds
/usr/lib64/R/library/ELMR/Meta/links.rds
/usr/lib64/R/library/ELMR/Meta/nsInfo.rds
/usr/lib64/R/library/ELMR/Meta/package.rds
/usr/lib64/R/library/ELMR/NAMESPACE
/usr/lib64/R/library/ELMR/R
/usr/lib64/R/library/ELMR/R/ELMR
/usr/lib64/R/library/ELMR/R/ELMR.rdb
/usr/lib64/R/library/ELMR/R/ELMR.rdx
/usr/lib64/R/library/ELMR/help
/usr/lib64/R/library/ELMR/help/AnIndex
/usr/lib64/R/library/ELMR/help/ELMR.rdb
/usr/lib64/R/library/ELMR/help/ELMR.rdx
/usr/lib64/R/library/ELMR/help/aliases.rds
/usr/lib64/R/library/ELMR/help/paths.rds
/usr/lib64/R/library/ELMR/html
/usr/lib64/R/library/ELMR/html/00Index.html
/usr/lib64/R/library/ELMR/html/R.css

 
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