This is OSC's production deployoment of MLflow's Tracking UI as an Open OnDemand interactive application.
As this is the OSC's production application, anyone outside of OSC should/can fork this repo and modify it as needed.
This Batch Connect app requires the following software be installed on the compute nodes that the batch job is intended to run on (NOT the OnDemand node):
- Lmod 6.0.1+ or any other
module purgeandmodule load <modules>based CLI used to load appropriate environments within the batch job before launching mlflow. - mlflow *** (earlier versions are untested but may work for you)
Use Git to clone this app and checkout the desired branch/version you want to use:
scl enable git19 -- git clone <repo>
cd <dir>
scl enable git19 -- git checkout <tag/branch>You will not need to do anything beyond this as all necessary assets are installed. You will also not need to restart this app as it isn't a Passenger app.
To update the app you would:
cd <dir>
scl enable git19 -- git fetch
scl enable git19 -- git checkout <tag/branch>Again, you do not need to restart the app as it isn't a Passenger app.
- Fork it ( https://github.com/OSC/bc_osc_mlflow/fork )
- Create your feature branch (
git checkout -b my-new-feature) - Commit your changes (
git commit -am 'Add some feature') - Push to the branch (
git push origin my-new-feature) - Create a new Pull Request
- Documentation, website content, and logo is licensed under CC-BY-4.0
- Code is licensed under MIT (see LICENSE.txt)
- The mlflow logo is a trademark of LF Projects, LLC.