openstack R tensorflow

qinlab3 instance

inside of Rstudio
install devtools from the drop down menu. This took some time.
ERROR:
openstack ubuntu libcurl was not found

See previous post for installing devetools in R
https://hongqinlab.blogspot.com/2017/11/microsoft-r-client-on-ubuntu-virtual.html

Apparently, default Ubuntu lack curl, openssl, xml2 etc.

1:45pm, finall be able to install keras on VirturalBox VM:

inside of R 3.4.x (installed through apt-get)

devtools::install_github("rstudio/keras")

> library(keras)
> install_keras()
Creating virtual environment '~/.virtualenvs/r-reticulate' ...
Using python: /home/hqin/anaconda3/bin/python3.7
Collecting pip
  Downloading https://files.pythonhosted.org/packages/30/db/9e38760b32e3e7f40cce46dd5fb107b8c73840df38f0046d8e6514e675a1/pip-19.2.3-py2.py3-none-any.whl (1.4MB)
    100% |████████████████████████████████| 1.4MB 21.5MB/s
Collecting wheel
  Downloading https://files.pythonhosted.org/packages/00/83/b4a77d044e78ad1a45610eb88f745be2fd2c6d658f9798a15e384b7d57c9/wheel-0.33.6-py2.py3-none-any.whl
Collecting setuptools
  Downloading https://files.pythonhosted.org/packages/b2/86/095d2f7829badc207c893dd4ac767e871f6cd547145df797ea26baea4e2e/setuptools-41.2.0-py2.py3-none-any.whl (576kB)
    100% |████████████████████████████████| 583kB 9.8MB/s


red-hat open stack will generate a key-pair, which save a private key on local computer, and leave a public key on the openstack server. The format of the key is *.pem.