Set up a basic MLflow setup

[sashavor]

Replicate all the tensorboard logging in Meg-DS, plus logging hyperparams of choice. So on the code level:

1. repeat tensorboard 1:1 but log using mlflow api
2. find new places where to log new things (e.g. hyperparams)
3. WGs that want to log specific events/data will add those directly to Meg-DS code base
4. Currently the config is just --mlflow-dir on/off toggle which will log all MLFlow events/data

example: https://gist.github.com/tsaoyu/14e39a6d246cb29b107a2cc62a12f7a3

Blocking events:

• [ ] @JetRunner setting up the MLFlow server

[JetRunner]

The server's at http://deplo-mlflo-1s4xwzhh8tic4-97cf518635d8c72d.elb.us-east-2.amazonaws.com/