如何在 Anaconda R-essentials 中安装 H2O？

Question

I am using Jupyter notebooks with R ie by using R-essentials in Anaconda. However, while installing H2O package in Jupyter notebook using

install.packages("h2o")

it is giving an error and unable to install it. I also tried

conda install c -r anaconda h20

in terminal and it did installed h2o. But while exceuting the library function in the r notebook:

library(h2o)

I am getting the following error message:

Error in library(h2o): there is no package called ‘h2o’
Traceback:

1. library(h2o)
2. stop(txt, domain = NA)

Please let me know how to resolve this.

Answer 1

If you want to install h2o from within R please follow the download instructions here (this link will provide you with the latest stable version). for your convenience I am also pasting what is currently listed under the R tab (below):

Please also note that it looks like you ran h20 instead of h2o (like water) in conda install c -r anaconda h20 and in addition looking at the anaconda docs if you want to install an r package you need to pre-fix the package with an r- , and lastly if you want to install h2o from anaconda you should use the h2oai channel not the default anaconda channel. That being said if you do a search for the r-h2o package you will see if is not available for download in this manner conda search -f r-h2o so your best option is to install through R via the instructions pasted below.

Copy and paste these commands into R one line at a time:

# The following two commands remove any previously installed H2O packages for R.
if ("package:h2o" %in% search()) { detach("package:h2o", unload=TRUE) }
if ("h2o" %in% rownames(installed.packages())) { remove.packages("h2o") }

# Next, we download packages that H2O depends on.
pkgs <- c("RCurl","jsonlite")
for (pkg in pkgs) {
if (! (pkg %in% rownames(installed.packages()))) { install.packages(pkg) }
}

# Now we download, install and initialize the H2O package for R.
install.packages("h2o", type="source", repos="http://h2o-release.s3.amazonaws.com/h2o/rel-xu/6/R")

# Finally, let's load H2O and start up an H2O cluster
library(h2o)
h2o.init()