Approach 1 - Running without setting mlflow tracking server
Note : It will create a new folder mlruns & store all the related information in that folder
Train Model
python train.py <alpha><l1_ratio>
MLflow UI
mlflow ui
Approach 2 - Running with setting mlflow tracking server
Note :
1.It would store model file into a newly created folder artifacts and all related logs would be available on mentioned server.
2. MLflow entities are inserted in a SQLite database file mlflow.db