maxent

Package: maxent
Type: Package
Title: Low-memory Multinomial Logistic Regression with Support for Text
Classification
Version: 1.3.3.1
Date: 2013-04-06
Author: Timothy P. Jurka, Yoshimasa Tsuruoka
Maintainer: Timothy P. Jurka <tpjurka@ucdavis.edu>
Depends: R (>= 2.13.0), methods, SparseM, tm
Imports: Rcpp
LinkingTo: Rcpp
Description: maxent is an R package with tools for low-memory
multinomial logistic regression, also known as maximum entropy.
The focus of this maximum entropy classifier is to minimize
memory consumption on very large datasets, particularly sparse
document-term matrices represented by the tm package. The
classifier is based on an efficient C++ implementation written
by Dr. Yoshimasa Tsuruoka.
License: GPL-3
LazyLoad: yes
Packaged: 2013-11-14 17:02:54 UTC; ripley
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-11-14 18:03:19

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'maxent' ...
** package 'maxent' successfully unpacked and MD5 sums checked
** libs
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include -I"/home/ddbj/local/lib64/R/library/Rcpp/include"   -fpic  -g -O2  -c lbfgs.cpp -o lbfgs.o
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include -I"/home/ddbj/local/lib64/R/library/Rcpp/include"   -fpic  -g -O2  -c maxent.cpp -o maxent.o
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include -I"/home/ddbj/local/lib64/R/library/Rcpp/include"   -fpic  -g -O2  -c owlqn.cpp -o owlqn.o
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include -I"/home/ddbj/local/lib64/R/library/Rcpp/include"   -fpic  -g -O2  -c rmaxent.cpp -o rmaxent.o
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include -I"/home/ddbj/local/lib64/R/library/Rcpp/include"   -fpic  -g -O2  -c sgd.cpp -o sgd.o
g++ -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o maxent.so lbfgs.o maxent.o owlqn.o rmaxent.o sgd.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/maxent/libs
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'maxent'
    finding HTML links ... done
    NYTimes                                 html  
    USCongress                              html  
    as.compressed.matrix                    html  
    load.model                              html  
    maxent-class                            html  
    maxent-package                          html  
    maxent                                  html  
    predict.maxent                          html  
    save.model                              html  
    tune.maxent                             html  
** building package indices
** testing if installed package can be loaded
* DONE (maxent)
Making 'packages.html' ... done