Faisal Anees

Mlflow tracking needs a tracking server to track job metadata. Write IAC in terraform to setup this server. Read more here https://mlflow.org/docs/latest/tracking.html#id63

Multiple variants of an experiment can now be launched via the hydra yaml config file. But there is now way to track these runs as they are running and once...

Make use of launch templates to specify disk space needed which will be passed to AWS Batch during Compute Environment creation time

Need alerting to notify in case of surge in throughput, mem, cpu util, errors, etc AWS - cloudwatch alerts GCP - ?

Currently mlflow credentials need to be passed via environment variables in the run.yaml file. Add util methods in hydra.utils to automatically set MLFlow tracking username and password environment variables by...

Currently you can only do training when you've committed and pushed all new changes in your branch. This introduces a blocker when a Data Scientist is trying out lots of...

Install Hydra and look for improvements in documentation

1

- Install hydra==0.3.5 - Improve doc

Add options to add mlflow tracking url to hydra yaml config

1

Set mlflow tracking url for a project via the config yaml file

- Clone `https://github.com/georgianpartners/hydra-ml-projects` - Fill Readme.md with instructions on how to train Modes: - [x] fast_local - [x] local - [x] aws - [x] gcp

issue in title.