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I need to use sbt for run spark in my fedora box, but what surprised me most is
sbt cannot use in my Fedora, I've tried two fedora machines, both failed.
I guess a lot of people meet this problem before, any ideas?
Thanks.
Jovi
UPDATE
For RPM based distributions ( http://www.scala-sbt.org/0.13/tutorial/Installing-sbt-on-Linux.html ) following instructions work:
curl https://bintray.com/sbt/rpm/rpm | sudo tee /etc/yum.repos.d/bintray-sbt-rpm.repo
sudo yum install sbt
OLD INSTRUCTIONS
Setting up SBT on fedora is pretty straightforward.
Older version sbt-0.12.2:
$ sudo yum localinstall http://scalasbt.artifactoryonline.com/scalasbt/sbt-native-packages/org/scala-sbt/sbt//0.12.2/sbt.rpm
Latest version sbt-0.13.1:
$ sudo yum localinstall http://repo.scala-sbt.org/scalasbt/sbt-native-packages/org/scala-sbt/sbt/0.13.1/sbt.rpm
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On Ubuntu, I installed Atom from the .deb package. But I mistakenly run it as root on the first time.
Then I get this error:
$ atom
$ /usr/bin/atom: line 185: /home/fabien/.atom/nohup.out: Permission denied
A ~/.atom directory has been created with the root privileges.
It can be solved:
by changing the ~/.atom owner:
sudo chown -R -v <username> ~/.atom
by simply removing this directory:
sudo rm -fr ~/.atom
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I've been trying to get GPU support to work for xgboost via h2o in a rocker docker container with little success. Progress so far: GitHub, Docker Hub
I have installed CUDA + nvidia-docker on the host machine and CUDA (9.0 - 9.2) in the container. I'm running the container with the following,
nvidia-docker run -d -p 8787:8787 -e USER=tidyverse-gpu -e PASSWORD=tidyverse-gpu --name tidyverse-gpu seabbs/tidyverse-gpu
Base Xgboost works with GPU support in both R and Python (and nvidia-smi returns usage stats etc when run inside the container). When the GPU backend is enabled in h2o.xgboost the following error is returned.
Illegal argument(s) for XGBoost model: XGBoost_model_R_1548450637489_3. Details: ERRR on field: _backend: GPU backend (gpu_id: 0) is not functional. Check CUDA_PATH and/or GPU installation.
Initially I had not added the CUDA_PATH in the Dockerfile but testing adding this has had no effect.
Sys.getenv("CUDA_PATH")
[1] "/usr/local/cuda"
The h2o startup logs show no issue with the xgboost module (that I can see). I've tried rolling back to CUDA 8.0 but this errors in the latest rocker containers as the gcc version being used is not supported by xgboost.
Any help would be much appreciated as I don't have a clue :)
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I am wanting to use RHadoop packages(rmr, rhdfs, rhbase) on my ubuntu server. These only work with the older version of R 2.15.0 and not on the current 3.0.1 version. I have created a mirror which allowed me to install the 3.0.1 version.
sudo apt-get install r-base-dev
What do I need to change here to get the 2.15.0 version of R?
I have tried using the links but i think I might need to access a new mirror since the link to both downloads are different.
current mirror:
deb http://cran.cnr.berkeley.edu/bin/linux/ubuntu precise/
I assume its getting the most recent file and executing it:
http: //cran.cnr.berkeley.edu/bin/linux/ubuntu/precise/r-base-dev_3.0.1-5precise0_all.deb
The link I want it to follow and install
http: //cran.cnr.berkeley.edu/src/base/R-2/R-2.15.0.tar.gz
After berkeley.edu it is all different but in my mirror it would stay the same. I have tried changing my mirror but haven't had any luck.
If anyone has any suggestions or can lead me down the right path that would greatly help.
-Joey
You will find previous binary builds for Ubuntu in the standard directory, just by hand:
https://cran.r-project.org/bin/linux/ubuntu/
You can always download them manually and then tell the package management system to put them 'on hold', ie to not upgrade. See eg man dpkg for the dpkg --set-selection and the hold state.
You find outdated versions of R at the CRAN page:
http://cran.r-project.org/sources.html
Following a couple of links:
http://cran.r-project.org/src/base/R-2/R-2.15.0.tar.gz
I suppose it is possible that that Debian/Ubuntu repository has the Make files to drive the compilation from source. If not, you can probably find one on the R-Debian mailing list.
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Its my first time working with cygwin so bear with me please.
I need to install a processing library via cygwin in order for it to work.
I followed all the steps in this tutorial and in the last step (00:22 seconds mark) I need to "cp" LeapMotion to the directory where Processing stores it's librarys.
I store mine in "D:\Processing Sketches\libraries" and i don't know how to copy it there. I'm confused with the ~/home/ part.
I tried "$ cp -R LeapMotion /D:/Processing\ Sketches/libraries/" but that doesnt work :/
Under cygwin DOS drive letters are mapped to /cygdrive/<drive>, so you would do it like this:
$ cp -R LeapMotion /cygdrive/d/Processing\ Sketches/libraries/
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I have just, in my groggy morning state, reversed & confused the arguments to ln, replacing /usr/share/zoneinfo/America/Toronto with a link to the non-existant /etc/localtime, when I really wanted to link /etc/localtime to Toronto. Now I have no timezone file for where I live. Does anybody have a copy or know where I could get one? It's just instructions on how to translate unix time into toronto time, but I cat'd a few of the other files, and they don't seem like something I'm up to the task of writing by hand.
I know. At least I've never rm -r'd my /
edit:
Before anybody asks, I just tried sudo dpkg-reconfigure tzdata, gleefully entered "America" then "Toronto", only to crash and read, cp: cannot stat '/usr/share/zoneinfo/America/Toronto': no such file or directory. ARGH.
apt-get install --reinstall tzdata
Depending on which GNU/Linux distro you're using, you may be able to just re-download the whole of the tzdata package using its package manager. I know ArchLinux has a package for the time zone data and so does Debian.
However, you can also manually download the whole package and extract the time zone file that you want.
http://www.246tnt.com/files/Toronto