I am trying to install Lightgbm library in r 3.5.2.after millions of try i can do so. if anyone know how to install it?
I have try these methods to install lightgbm but always an error occur of such type.
1.
Error in i.p(...) :
(converted from warning) installation of package ‘C:/Users/MUHAMM~1/AppData/Local/Temp/Rtmp4EX73g/file7d81a401a17/lightgbm_2.2.3.tar.gz’ had non-zero exit status
In addition: Warning messages:
1: In untar2(tarfile, files, list, exdir) :
skipping pax global extended headers
2: In untar2(tarfile, files, list, exdir) :
skipping pax global extended headers
2.
Error in lgb.dl(commit = "master", compiler = "vs", repo = "https://github.com/Microsoft/LightGBM", :
could not find function "lgb.dl"
#1
install.packages('devtools')
packageurl <- "http://cran.r-project.org/src/contrib/Archive/lightgbm/lightgbm_3.5.2.tar.gz"
install.packages(packageurl, contriburl=NULL, type="source")
#2
download.file("https://github.com/hadley/lightgbm/archive/master.zip", destfile = "lightgbm.zip")
#3
lgb.dl(commit = "master",libdll = "C:\\xgboost\\LightGBM\\windows\\x64\\DLL\\lib_lightgbm.dll",
# repo = "https://github.com/Microsoft/LightGBM",cores = 2)
#4
lgb.dl(commit = "master", libdll = "C:\\LightGBM\\windows\\x64\\DLL\\lib_lightgbm.dll", # YOUR PRECOMPILED DLL
#repo = "https://github.com/Microsoft/LightGBM")
Error in lgb.dl(commit = "master", compiler = "vs", repo = "https://github.com/Microsoft/LightGBM", :
could not find function "lgb.dl"
#5
lgb.dl(commit = "master", compiler = "vs", # Remove this for MinGW + GPU installation repo = "https://github.com/Microsoft/LightGBM", use_gpu = TRUE)
#6
lgb.dl(commit = "master", compiler = "vs", # Remove this for MinGW + GPU installation repo = "https://github.com/Microsoft/LightGBM",use_gpu = TRUE)
{lgbl.dl} was originally created to make installing {lightgbm} easier, since {lightgbm} had a difficult-to-use installation process.
That package has not kept up with changes in LightGBM, and is no longer necessary to install the R package on Windows, as the original question here mentions.
{lightgbm} is now on CRAN. Run this R code to install it.
install.packages("lightgbm", repos = "https://cloud.r-project.org")
Related
I'm trying to install the package 'Performance Analysis' in the R script below:
tryCatch(
expr = {
#library('PerformanceAnalytics', verbose = FALSE, quietly = TRUE)
library("PerformanceAnalytics",lib.loc=.libPaths(),verbose = FALSE, quietly = TRUE)
},
error = function(e){
print(e)
install.packages('PerformanceAnalytics', repos='https://cran.rstudio.com', verbose = FALSE)
#library('PerformanceAnalytics', verbose = FALSE, quietly = TRUE)
library("PerformanceAnalytics",lib.loc=.libPaths(),verbose = FALSE, quietly = TRUE)
}
)
But I'm having the following error message (Version 1.2.1335 of R Studio). Does anyone know if I've made a mistake somewhere?
Thanks
unable to access index for repository https://cran.rstudio.com/bin/windows/contrib/3.1
Installing package into ‘C:/Users/xxxxx/Documents/R/win-library/3.1’
(as ‘lib’ is unspecified)
Warning in install.packages :
unable to access index for repository https://cran.rstudio.com/bin/windows/contrib/3.1
Warning in install.packages :
package ‘PerformanceAnalytics’ is not available (as a binary package for R version 3.1.3)
Error in library("PerformanceAnalytics", lib.loc = .libPaths(), verbose = FALSE, :
there is no package called ‘PerformanceAnalytics’
I am trying to get H2O working with Sparklyr on my spark cluster (yarn)
spark_version(sc) = 2.4.4
My spark cluster is running V2.4.4
According to this page the compatible version with my spark is 2.4.5 for Sparkling Water and the H2O release is rel-xu patch version 3. However when I install this version I am prompted to update my H2O install to the next release (REL-ZORN). Between the H2O guides and the sparklyr guides it's very confusing and contradictory at times.
Since this is a yarn deployment and not local, unfortunately I can't provide a repex to help with trobleshooting.
url <- "http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/5/sparkling-water-2.4.5.zip"
download.file(url = url,"sparkling-water-2.4.5.zip")
unzip("sparkling-water-2.4.5.zip")
# RUN THESE CMDs FROM THE TERMINAL
cd sparkling-water-2.4.5
bin/sparkling-shell --conf "spark.executor.memory=1g"
# RUN THESE FROM WITHIN RSTUDIO
install.packages("sparklyr")
library(sparklyr)
# REMOVE PRIOR INSTALLS OF H2O
detach("package:rsparkling", unload = TRUE)
if ("package:h2o" %in% search()) { detach("package:h2o", unload = TRUE) }
if (isNamespaceLoaded("h2o")){ unloadNamespace("h2o") }
remove.packages("h2o")
# INSTALLING REL-ZORN (3.36.0.3) WHICH IS REQUIRED FOR SPARKLING WATER 3.36.0.3
install.packages("h2o", type = "source", repos = "https://h2o-release.s3.amazonaws.com/h2o/rel-zorn/3/R")
# INSTALLING FROM S3 SINCE CRAN NO LONGER SUPPORTED
install.packages("rsparkling", type = "source", repos = "http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.36.0.3-1-2.4/R")
# AS PER THE GUIDE
options(rsparkling.sparklingwater.version = "2.4.5")
library(rsparkling)
# SPECIFY THE CONFIGURATION
config <- sparklyr::spark_config()
config[["spark.yarn.queue"]] <- "my_data_science_queue"
config[["sparklyr.backend.timeout"]] <- 36000
config[["spark.executor.cores"]] <- 32
config[["spark.driver.cores"]] <- 32
config[["spark.executor.memory"]] <- "40g"
config[["spark.executor.instances"]] <- 8
config[["sparklyr.shell.driver-memory"]] <- "16g"
config[["spark.default.parallelism"]] <- "8"
config[["spark.rpc.message.maxSize"]] <- "256"
# MAKE A SPARK CONNECTION
sc <- sparklyr::spark_connect(
master = "yarn",
spark_home = "/opt/mapr/spark/spark",
config = config,
log = "console",
version = "2.4.4"
)
When I try to establish a H2O context using the next chunk I get the following error
h2o_context(sc)
Error in h2o_context(sc) : could not find function "h2o_context"
Any pointers as to where I'm going wrong would be greatly appreciated.
See this tutorial please. The newer versions of Rsparkling use {H2OContext.getOrCreate(h2oConf)} instead of {h2o_context(sc)}.
Attempting to install plotly in R studio 3.6.1 on a work computer.
Running into this error.
Error in if (any(diff)) { : missing value where TRUE/FALSE needed
Traceback gives
4: tools::checkMD5sums(pkgname, file.path(tmpDir, pkgname))
3: unpackPkgZip(foundpkgs[okp, 2L], foundpkgs[okp, 1L], lib, libs_only,
lock)
2: .install.winbinary(pkgs = bins, lib = lib, contriburl = contrib.url(repos,
type2), method = method, available = av2, destdir = destdir,
dependencies = NULL, libs_only = libs_only, quiet = quiet,
...)
1: install.packages("plotly")
Is the checksum not passing? Why would this be?
Thanks
Hi I've written the following code:
################# Loadin Require Libraries #################
required.packages <- c('caret','readxl')
for (pkg in required.packages){
if(!require(pkg, character.only = T)){
install.packages(pkg,
character.only = T,
dependencies = T)
library(pkg, character.only = T)
}else{
library(pkg, character.only = T)
}
}
The code shall be ran on a computer of a peer, so to take care of might missing libraries I thought I iterate threw a string list, to check if the package is installed if yes -> load if no -> install and load then. However when a package is not available R still puts out a warning message:
Warning message:
In library(package, lib.loc = lib.loc, character.only = TRUE,
logical.return = TRUE, : es gibt kein Paket namens ‘readxl’
My question: is there a better way to check / install a bunch of libraries in R? Should I care about the warning? If it is not important is there a way to surpress this warning getting printed?
Edit: Final solution Thanks to the correct answer provided by #akrun:
################# Loadin Require Libraries #################
lib <- .libPaths()[1]
required.packages <- c('caret','readxl')
i1 <- !(required.packages %in% row.names(installed.packages()))
if(any(i1)) {
install.packages(required.packages[i1], dependencies = TRUE, lib = lib)
}
lapply(required.packages, require, character.only = TRUE)
Update 2021 - Pacman
I found the pacman - package really helpful for exactly this purpose, especially the p_load function. It checks if the package is installed and otherwise tries to install the missing package.
This function is a wrapper for library and require. It checks to see
if a package is installed, if not it attempts to install the package
from CRAN and/or any other repository in the pacman repository list.
So nowadays I start all my scripts that need to be 'portable' with the following lines:
require(pacman)
# Load / Install Required Packages
p_load(dplyr, tidyr, gridExtra, psych)
In this case to load / install dplyr, tidyr, gridExtra & psych
Also nice in this package (if you want to clean up the environment) p_unload
# Unload All packages
p_unload()
Here is one option
Pkgs <- c('caret','readxl')
lib <- .libPaths()[1]
i1 <- !(Pkgs %in% row.names(installed.packages()))
if(any(i1)) {
install.packages(Pkgs[i1], dependencies = TRUE, lib = lib)
}
I am new to R. I have just installed R 3.2.2, and RStudio 0.99, under Windows 8.
As per section 3.2 Testing an Installation of Help contents,
I meant to execute the following 5 lines of commands.
Sys.setenv(LC_COLLATE = "C", LANGUAGE = "en")
library("tools")
testInstalledBasic("both")
testInstalledPackages(scope = "base", errorsAreFatal = FALSE)
testInstalledPackages(scope = "recommended", errorsAreFatal = FALSE)
The first 2 worked fine. The third threw an error, as shown here
> Sys.setenv(LC_COLLATE = "C", LANGUAGE = "en")
> library("tools")
> testInstalledBasic("both")
running strict specific tests
running code in ‘eval-etc.R’
unable to open output file
FAILED
[1] 1
Warning message:
running command '"C:/PROGRA~1/R/R-32~1.2/bin/x64/R" CMD BATCH --vanilla --no-timing "eval-etc.R" "eval-etc.Rout"' had status 2
>
What is the problem?
Could it be related to setting directories/permissions?
You seem to be missing the diff file from Rtools in the test folder. Simply copying/pasting should do the trick.