Closed MaxPowerWasTaken closed 6 years ago
I regularly use xgboost in Python, installed it a couple years ago, but am having trouble installing it for r. Any help would be much appreciated.
I tried the following three ways from the installation guide
install.packages('xgboost') returns: "package ‘xgboost’ is not available (for R version 3.2.3)"
install.packages('xgboost')
git clone --recursive https://github.com/dmlc/xgboost returns: "fatal: destination path 'xgboost' already exists and is not an empty directory."
git clone --recursive https://github.com/dmlc/xgboost
install.packages("drat", repos="https://cran.rstudio.com") drat:::addRepo("dmlc") install.packages("xgboost", repos="http://dmlc.ml/drat/", type = "source")
returns: "package ‘xgboost’ is not available (for R version 3.2.3)"
Operating System: Linux Mint 18 Sarah 64-bit
Package used (python/R/jvm/C++): R
xgboost version used: CRAN and from github/drat
xgboost
R SessionInfo:
> > sessionInfo() R version 3.2.3 (2015-12-10) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Linux Mint 18 > > locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=en_US.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C > > attached base packages: [1] parallel splines stats graphics grDevices utils datasets [8] methods base > > other attached packages: [1] klaR_0.6-12 kernlab_0.9-25 rpart_4.1-10 [4] MASS_7.3-45 randomForest_4.6-12 e1071_1.6-7 [7] ipred_0.9-5 gbm_2.1.3 survival_2.40-1 [10] plyr_1.8.4 C50_0.1.0-24 caretEnsemble_2.0.0 [13] caret_6.0-73 ggplot2_2.2.0 lattice_0.20-33 [16] mlbench_2.1-1 > > loaded via a namespace (and not attached): [1] Rcpp_0.12.8 compiler_3.2.3 nloptr_1.0.4 class_7.3-14 [5] iterators_1.0.8 tools_3.2.3 drat_0.1.2 partykit_1.1-1 [9] lme4_1.1-12 digest_0.6.10 tibble_1.2 nlme_3.1-124 [13] gtable_0.2.0 mgcv_1.8-11 Matrix_1.2-3 foreach_1.4.3 [17] prodlim_1.5.9 SparseM_1.76 gridExtra_2.2.1 stringr_1.2.0 [21] MatrixModels_0.4-1 combinat_0.0-8 stats4_3.2.3 grid_3.2.3 [25] nnet_7.3-12 data.table_1.10.4 pbapply_1.3-3 lava_1.4.6 [29] minqa_1.2.4 Formula_1.2-2 reshape2_1.4.2 car_2.1-4 [33] magrittr_1.5 scales_0.4.1 codetools_0.2-14 ModelMetrics_1.1.0 [37] assertthat_0.1 pbkrtest_0.4-7 colorspace_1.3-1 quantreg_5.29 [41] stringi_1.1.2 lazyeval_0.2.0 munsell_0.4.3 > -- > > > | > > > > >
xgboost requires R>= 3.3.0
See https://github.com/dmlc/xgboost/blob/master/R-package/DESCRIPTION#L33
I regularly use xgboost in Python, installed it a couple years ago, but am having trouble installing it for r. Any help would be much appreciated.
I tried the following three ways from the installation guide
install.packages('xgboost')
returns: "package ‘xgboost’ is not available (for R version 3.2.3)"git clone --recursive https://github.com/dmlc/xgboost
returns: "fatal: destination path 'xgboost' already exists and is not an empty directory."returns: "package ‘xgboost’ is not available (for R version 3.2.3)"
Environment info
Operating System: Linux Mint 18 Sarah 64-bit
Package used (python/R/jvm/C++): R
xgboost
version used: CRAN and from github/dratR SessionInfo: