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Hola Diego, Prueba a hacer otra cosa. - Abre una consola y activa ese environment que has creado (r-reticulate) - Y una vez activado escribe "python". Entrarás a la consola de "python". - Ahí, escribe "import transformers" - Si no te devuelve error, es que en el entorno está bien instalado esa librería y por tanto el problema es de acceso desde "R"....

Dear R Developers, There is an interesting issue related to "reticulate" R package which discusses how to convert Python's non-32 bit integers to R, which has had quite an exhaustive discussion: https://github.com/rstudio/reticulate/issues/323 Python seems to handle integers differently from R, and is dependant on the system arquitecture: On 32 bit system...

...ence.es>) escribió: > Hola Diego, > > El error que obtienes no es de usar una versión específica de Python, si no > de encontrar un "environment" específico donde hacer la instalación con > "pip". > Mira aquí en la ayuda: > > https://rstudio.github.io/reticulate/articles/python_packages.html > > En la sección de "Conda" donde aparece cómo crear un entorno e indicárselo > a R para que instale ahí tus nuevas librerías. > > Gracias, > Carlos Ortega > www.qualityexcellence.es > > El dom., 2 ago. 2020 a las 19:27, Diego M...

Hi Juan, Comments inline. On Wed, May 29, 2019 at 12:48 PM Juan Telleria Ruiz de Aguirre < jtelleria.rproject at gmail.com> wrote: > Dear R Developers, > > There is an interesting issue related to "reticulate" R package which > discusses how to convert Python's non-32 bit integers to R, which has had > quite an exhaustive discussion: > > https://github.com/rstudio/reticulate/issues/323 > > Python seems to handle integers differently from R, and is dependant on the > syst...

...Comments inline. >> >> On Wed, May 29, 2019 at 12:48 PM Juan Telleria Ruiz de Aguirre < >> jtelleria.rproject at gmail.com> wrote: >> >>> Dear R Developers, >>> >>> There is an interesting issue related to "reticulate" R package which >>> discusses how to convert Python's non-32 bit integers to R, which has had >>> quite an exhaustive discussion: >>> >>> https://github.com/rstudio/reticulate/issues/323 >>> >>> Python seem...

...becker at gmail.com> escribi?: > Hi Juan, > > Comments inline. > > On Wed, May 29, 2019 at 12:48 PM Juan Telleria Ruiz de Aguirre < > jtelleria.rproject at gmail.com> wrote: > >> Dear R Developers, >> >> There is an interesting issue related to "reticulate" R package which >> discusses how to convert Python's non-32 bit integers to R, which has had >> quite an exhaustive discussion: >> >> https://github.com/rstudio/reticulate/issues/323 >> >> Python seems to handle integers differently from R, and is de...

>>>>> Juan Telleria Ruiz de Aguirre >>>>> on Mon, 3 Jun 2019 06:50:17 +0200 writes: > Thank you Martin for giving to know and developing 'Rmpfr' library for > unlimited size integers (GNU C GMP) and arbitrary precision floats (GNU C > MPFR): > https://cran.r-project.org/package=Rmpfr > My question is: In the long term

...of-the-art-nlp-models-from-r/>, gracias a Carlos Ortega, me puse con ilusión a leerlo. Sin embargo, tengo problemas con lo más básico, la instalación del paquete *transformers*. No puedo continuar sin ello. El hecho es que me pasa lo siguiente: > library(reticulate) > use_python("/usr/local/bin/python3.7") > Sys.which(c("python3.7")) python3.7 "/usr/local/bin/python3.7" > py_install(packages = c("transformers"), + python_version = 'python3.7', + pip = TRUE) Erro...

Thank you Martin for giving to know and developing 'Rmpfr' library for unlimited size integers (GNU C GMP) and arbitrary precision floats (GNU C MPFR): https://cran.r-project.org/package=Rmpfr My question is: In the long term (For R3.7.0 or R3.8.0): Does it have sense that CMP substitutes INTSXP, and MPFR substitutes REALSXP code? With this we would achieve that an integer is always an

...a noticia, por lo menos para mí, que podría entrar en esa situación entre lo mejor de dos alternativas. Lógicamente, es nuevo para mí, no puedo opinar nada más que compartir la información, probar, usar, y cada uno puede utilizar o rechazar la herramienta. Miren http://blog.rstudio.com/2018/03/26/reticulate-r-interface-to-python/ Javier Rubén Marcuzzi [[alternative HTML version deleted]]

...ests have written about R at the Revolutions blog (http://blog.revolutionanalytics.com) and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of March: The "reticulate" package provides an interface between R and Python: http://blog.revolutionanalytics.com/2018/03/reticulate.html BotRNot, a Shiny application that uses a generalized boosting model to identify bots on Twitter: http://blog.revolutionanalytics.com/2018/03/twitter-bot-or-not.html Using the C...

...he Travis CI support package (in GitHub repo eddelbuettel/r-travis) to support '3.5' (old) and '4.0' (new), and have already switched three different repos to use it. For example RcppArmadillo now does a 'matrix' over 3.5 and 4.0, and installs quite a few packages, including reticulate, from these repos. Works like a charm [1] -- and I need to blog about the updated r-travis. Sp big thanks to the ever-tireless Michael. Focal for R 4.0 is already at 3614 packages. Dirk [1] https://travis-ci.org/github/RcppCore/RcppArmadillo/builds/688117705 -- http://dirk.eddelbuettel.com...

Hi Wondering if anyone knows of a package that does Nested Clade Analysis? Thanks -- View this message in context: http://www.nabble.com/Nested-Clade-Analysis-tp20637180p20637180.html Sent from the R help mailing list archive at Nabble.com.

Hi I tried to use Michael's ppa after having installed Ubuntu 20.04 and R 4, and it seems the ppa is not available now for 20.04, I get message: The repository 'http://ppa.launchpad.net/marutter/c2d4u3.5/ubuntu focal Release' does not have a Release file Am I doing something wrong, or is it correct that it is not available yet? Are there any plans to implement it at some point?

On Friday, 26 June 2020 10.47.13 WEST I?aki Ucar wrote: > I used bcond locally and wrongly assumed that fedpkg build would > support --with BCOND and --without BCOND. Instead, the way to activate > it is to change to "%bcond_with check" and then revert to > "%bcond_without check". The only difference with bootstrap is that > "bootstrap" is recognized

...rr * R-qcc * R-qpdf * R-qtl * R-quadprog * R-quantities * R-qvalue * R-R6 * R-rappdirs * R-R.cache * R-rcmdcheck * R-RColorBrewer * R-Rcompression * R-Rcpp * R-RcppCCTZ * R-RCurl * R-R.devices * R-readr * R-readxl * R-rematch * R-rematch2 * R-remotes * R-repr * R-reprex * R-reshape * R-reshape2 * R-reticulate * R-rex * R-rgdal * R-rgeos * R-rhub * R-RInside * R-rlang * R-rlecuyer * R-RM2 * R-rmarkdown * R-R.methodsS3 * R-Rmpfr * R-ROC * R-RODBC * R-R.oo * R-roxygen2 * R-rprintf * R-rprojroot * R-R.rsp * R-Rsamtools * R-rsconnect * R-Rsolid * R-RSQLite * R-rstudioapi * R-rsvg * R-rtracklayer * R-RUnit...

Un offtopic para empezar el fin de semana. Acabo de entrar en kaggle, hacia tiempo que no lo hacia, y veo con 'estupor' que practicamente la gente trabaja con python. Es cierto que la mayor parte de competiciones son usadas con redes neuronales, donde python si tiene ventaja frente a R, pero me da miedo ver como python para temas de machine learning parece estar ganando la partida...