As there is no prebuilt MXNet binary available for the version of R that you are using, you will need to follow the build from source instructions. Please see https://mxnet.apache.org/versions/1.7.0/get_started/build_from_source
You can follow these instructions but use the 1.8.0rc2 release archive instead of 1.7.0 if you like. On Wed, 2020-12-30 at 06:16 -0800, Aaron Markham wrote: > It's been a long while since I tried the R install. I remember there > being > done issue with v4. > If you go back to older versions of the site, you can try those > instructions. > https://mxnet.apache.org/versions/1.5.0/install/index.html?platform=Linux&language=R&processor=CPU > > I patched the instructions last year, but they're missing now from > the > site. > > These might help. > https://github.com/apache/incubator-mxnet/pull/15087 > > On Tue, Dec 29, 2020, 12:15 PM Sasha Sasha <[email protected]> > wrote: > > > Hello, > > > > <https://stackoverflow.com/posts/65495946/timeline> > > > > I am trying to install the R package "mxnet". However, this package > > does > > not seem to be available on CRAN. > > > > > > > > > > I tried to install this package three different ways, but both of > > them > > failed: > > > > #First Way: > > install.packages(" > > https://s3.ca-central-1.amazonaws.com/jeremiedb/share/mxnet/CPU/3.6/mxnet.zip";, > > repos = NULL) > > > > Installing package into ‘C:/Users/me/Documents/R/win-library/4.0’ > > (as ‘lib’ is unspecified) > > trying URL ' > > https://github.com/jeremiedb/mxnet_winbin/raw/master/mxnet.zip > > ' > > Content type 'application/zip' length 29498166 bytes (28.1 MB) > > downloaded 28.1 MB > > > > library(mxnet) > > Error: package or namespace load failed for ‘mxnet’: > > package ‘mxnet’ was installed before R 4.0.0: please re-install it > > > > > > #second way > > > > > install.packages(" > > https://jeremiedb.s3.ca-central-1.amazonaws.com/share/mxnet/GPU/1.5.1/mxnet.zip";, > > repos = NULL) > > Installing package into ‘C:/Users/me/Documents/R/win-library/4.0’ > > (as ‘lib’ is unspecified) > > trying URL ' > > https://jeremiedb.s3.ca-central-1.amazonaws.com/share/mxnet/GPU/1.5.1/mxnet.zip > > ' > > Warning in install.packages : > > cannot open URL ' > > https://jeremiedb.s3.ca-central-1.amazonaws.com/share/mxnet/GPU/1.5.1/mxnet.zip': > > HTTP status was '404 Not Found' > > > > Error in download.file(p, destfile, method, mode = "wb", ...) : > > cannot open URL ' > > https://jeremiedb.s3.ca-central-1.amazonaws.com/share/mxnet/GPU/1.5.1/mxnet.zip'#third > > way: > > install.packages(" > > https://github.com/jeremiedb/mxnet_winbin/raw/master/mxnet.zip";, > > repos = > > NULL) > > > > > install.packages(" > > https://github.com/jeremiedb/mxnet_winbin/raw/master/mxnet.zip";, > > repos = > > NULL) > > Installing package into ‘C:/Users/me/Documents/R/win-library/4.0’ > > (as ‘lib’ is unspecified) > > trying URL ' > > https://github.com/jeremiedb/mxnet_winbin/raw/master/mxnet.zip > > ' > > Content type 'application/zip' length 29498166 bytes (28.1 MB) > > downloaded 28.1 MB > > > > library(mxnet) > > Error: package or namespace load failed for ‘mxnet’: > > package ‘mxnet’ was installed before R 4.0.0: please re-install it > > > > > > Is this package is still available? > > > > Thanks > > > > > > note - here is my session info: > > > > sessionInfo() > > R version 4.0.2 (2020-06-22) > > Platform: x86_64-w64-mingw32/x64 (64-bit) > > Running under: Windows 10 x64 (build 18363) > > > > Matrix products: default > > > > locale: > > [1] LC_COLLATE=English_Canada.1252 LC_CTYPE=English_Canada.1252 > > LC_MONETARY=English_Canada.1252 > > [4] LC_NUMERIC=C LC_TIME=English_Canada.1252 > > > > attached base packages: > > [1] stats graphics grDevices > > utils datasets methods base > > > > other attached packages: > > [1] RSNNS_0.4- > > 12 Rcpp_1.0.5 quantmod_0.4.17 TTR_0.24.2 > > xts_0.12.1 > > [6] plotly_4.9.2.1 data.table_1.12.8 > > ranger_0.12.1 survival_3.2-7 > > xgboost_1.1.1.1 > > [11] dynlm_0.3-6 zoo_1.8-8 caret_6.0- > > 86 ggplot2_3.3.2 > > lattice_0.20-41 > > [16] > > dplyr_1.0.0 timetk_2.6.0 PoEdata_0.1.0 devtools_2.3. > > 2 > > usethis_1.6.3 > > [21] tseries_0.10-47 > > > > loaded via a namespace (and not attached): > > [1] colorspace_1.4-1 ellipsis_0.3.1 class_7.3-17 > > rio_0.5.16 > > [5] rprojroot_1.3-2 fs_1.4.2 rstudioapi_0.11 > > listenv_0.8.0 > > [9] furrr_0.2.0 farver_2.0.3 remotes_2.2.0 > > dials_0.0.9 > > [13] prodlim_2019.11.13 fansi_0.4.1 lubridate_1.7.9 > > codetools_0.2-16 > > [17] splines_4.0.2 pkgload_1.1.0 jsonlite_1.7.1 > > workflows_0.2.1 > > [21] pROC_1.16.2 yardstick_0.0.7 tune_0.1.1 > > httr_1.4.2 > > [25] readr_1.3.1 compiler_4.0.2 backports_1.1.7 > > assertthat_0.2.1 > > [29] Matrix_1.2-18 lazyeval_0.2.2 cli_2.1.0 > > htmltools_0.5.0 > > [33] prettyunits_1.1.1 tools_4.0.2 gtable_0.3.0 > > glue_1.4.1 > > [37] reshape2_1.4.4 tinytex_0.26 carData_3.0-4 > > cellranger_1.1.0 > > [41] fracdiff_1.5-1 DiceDesign_1.8-1 vctrs_0.3.2 > > urca_1.3-0 > > [45] nlme_3.1-149 crosstalk_1.1.0.1 iterators_1.0.13 > > parsnip_0.1.3 > > [49] lmtest_0.9-38 timeDate_3043.102 gower_0.2.2 > > xfun_0.15 > > > > [53] stringr_1.4.0 globals_0.13.1 ps_1.3.3 > > openxlsx_4.2.2 > > [57] testthat_2.3.2 lifecycle_0.2.0 future_1.19.1 > > MASS_7.3-53 > > [61] scales_1.1.1 ipred_0.9-9 hms_0.5.3 > > parallel_4.0.2 > > [65] yaml_2.2.1 curl_4.3 memoise_1.1.0 > > rpart_4.1-15 > > [69] stringi_1.4.6 desc_1.2.0 foreach_1.5.1 > > lhs_1.1.1 > > [73] zip_2.1.1 pkgbuild_1.1.0 lava_1.6.8 > > rlang_0.4.7 > > [77] pkgconfig_2.0.3 rsample_0.0.8 purrr_0.3.4 > > htmlwidgets_1.5.2 > > [81] recipes_0.1.13 labeling_0.3 processx_3.4.4 > > tidyselect_1.1.0 > > [85] plyr_1.8.6 magrittr_1.5 R6_2.4.1 > > generics_0.0.2 > > [89] haven_2.3.1 foreign_0.8-80 pillar_1.4.6 > > withr_2.3.0 > > [93] abind_1.4-5 nnet_7.3-14 tibble_3.0.3 > > crayon_1.3.4 > > [97] car_3.0-10 utf8_1.1.4 readxl_1.3.1 > > grid_4.0.2 > > [101] callr_3.5.1 git2r_0.27.1 forcats_0.5.0 > > ModelMetrics_1.2.2.2 > > [105] forecast_8.13 digest_0.6.25 tidyr_1.1.0 > > stats4_4.0.2 > > [109] munsell_0.5.0 GPfit_1.0-8 viridisLite_0.3.0 > > sessioninfo_1.1.1 > > [113] quadprog_1.5-8 > > > > > > Your Help is Greatly Appreciated, > > Thanks, > > S > >
