• Created by Unknown User (davidsch), last modified on Jul 01, 2016

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Computer Setup/Graphics

  1. Have a laptop
  2. get a terminal on a psana machine, ideally with graphics
    1. use nomachine - probably best Remote Visualization
    2. mac - can also install XQuartz, and use the terminal program
    3. windows - only free X connection is through cygwin, but that is heavyweight software

Software

In bash, source ~davidsch/mlearntut.sh for environment.

If you use cshell, start a bash shell first, or look at the script to modify for cshell.

The script clears environment variables like PYTHONPATH, LD_LIBRARY_PATH, and sets PATH to the rhel7 default, and puts a miniconda bin dir at the frount. Then it activates the 'mlearntut' environment in the conda install.

We will use Keras and tensorflow

Code

  1. from pslogin (a machine with outside internet), do git clone https://github.com/davidslac/mlearntut.git
  2. you may need to go back and forth to the outside internet connection -  leave pslogin terminal up
  3. start new termina, ssh to pslogin, then ssh to psana
  4. cd to the mlearntut directory you made, from the pslogin terminal



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