Hi,
I´m trying to serve R kernel from my jupyterhub installation, but no matter what I try, the kernel always die.
My jupyterhub installation is working fine, launching single-server notebooks for Python2 and Python3.
I´ve installed r-essentials directly from Anaconda3 to avoid any conflict; no R installed at the system level.
After installation, opened the R console (terminal) and run IRkernel::installspec(user = FALSE). The kernel appears in Jupyter menu, together Python entires.
I´m running a CentOS7 server, Jupyterhub running by root (sudo was not able to authenticate users), behing a nginx reverse proxy.
BTW, how to enable debug information in jupyterhub config?
Bellow is my conda information, and attached my conda --list information.
Appreciate any help.
Mario M.
# conda info
Current conda install:
platform : linux-64
conda version : 4.2.12
conda is private : False
conda-env version : 4.2.12
conda-build version : 2.0.2
python version : 3.5.2.final.0
requests version : 2.11.1
root environment : /srv/anaconda3 (writable)
default environment : /srv/anaconda3
envs directories : /srv/anaconda3/envs
package cache : /srv/anaconda3/pkgs
config file : /root/.condarc
offline mode : False