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Revision 1446 - (download) (annotate)
Wed Nov 2 15:41:49 2016 UTC (2 years, 4 months ago) by feinerer
File size: 960 byte(s)
Revive parallel::mclapply()

Experiments show that, with the right hardware, mclapply() gives you measurable
performance gains. So reenable it --- despite substantial drawbacks (RAM and
CPU overhead) in some scenarios.
Package: tm
Title: Text Mining Package
Version: 0.7
Date: 2016-11-02
Authors@R: c(person("Ingo", "Feinerer", role = c("aut", "cre"),
                    email = ""),
             person("Kurt", "Hornik", role = "aut"),
             person("Artifex Software, Inc.", role = c("ctb", "cph"),
                    comment = " taken from GPL Ghostscript"))
Depends: R (>= 3.2.0), NLP (>= 0.1-6.2)
Imports: Rcpp, parallel, slam (>= 0.1-37), stats, tools, utils, graphics
LinkingTo: BH, Rcpp
Suggests: filehash, methods, Rcampdf, Rgraphviz, Rpoppler, SnowballC, tm.lexicon.GeneralInquirer, XML
SystemRequirements: Antiword (<>) for reading MS Word files,
  pdfinfo and pdftotext from Poppler (<>) for reading PDF
Description: A framework for text mining applications within R.
License: GPL-3
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