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

Name : R-dml
Version : 1.1.0 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.4.7 Date : 2024-06-14 11:53:16
Group : Development/Libraries/Other Source RPM : R-dml-1.1.0-lp153.4.7.src.rpm
Size : 0.05 MB
Packager : (none)
Summary : Distance Metric Learning in R
Description :
The state-of-the-art algorithms for distance metric learning, including
global and local methods such as Relevant Component Analysis,
Discriminative Component Analysis, Local Fisher Discriminant Analysis,
etc. These distance metric learning methods are widely applied in
feature extraction, dimensionality reduction, clustering,
classification, information retrieval, and computer vision problems.

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-dml-1.1.0-lp153.4.7.x86_64.rpm
     

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

Requires :
R-RSpectra
R-Rcpp
R-RcppEigen
R-base
R-lfda
R-plyr
R-rARPACK
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/dml
/usr/lib64/R/library/dml/DESCRIPTION
/usr/lib64/R/library/dml/INDEX
/usr/lib64/R/library/dml/LICENSE
/usr/lib64/R/library/dml/Meta
/usr/lib64/R/library/dml/Meta/Rd.rds
/usr/lib64/R/library/dml/Meta/features.rds
/usr/lib64/R/library/dml/Meta/hsearch.rds
/usr/lib64/R/library/dml/Meta/links.rds
/usr/lib64/R/library/dml/Meta/nsInfo.rds
/usr/lib64/R/library/dml/Meta/package.rds
/usr/lib64/R/library/dml/NAMESPACE
/usr/lib64/R/library/dml/NEWS
/usr/lib64/R/library/dml/R
/usr/lib64/R/library/dml/R/dml
/usr/lib64/R/library/dml/R/dml.rdb
/usr/lib64/R/library/dml/R/dml.rdx
/usr/lib64/R/library/dml/help
/usr/lib64/R/library/dml/help/AnIndex
/usr/lib64/R/library/dml/help/aliases.rds
/usr/lib64/R/library/dml/help/dml.rdb
/usr/lib64/R/library/dml/help/dml.rdx
/usr/lib64/R/library/dml/help/paths.rds
/usr/lib64/R/library/dml/html
/usr/lib64/R/library/dml/html/00Index.html
/usr/lib64/R/library/dml/html/R.css

 
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