Before you proceed, make sure you have conda installed.
conda --version
You can then create the required conda environment using:
conda env create -f environment.yml
After the environment is successfully created, execute:
conda activate mlflow-jupyter
We need to start MLFlow. To do that execute:
mlflow server
Open a new terminal, change directory to this repo, and run
conda activate mlflow-jupyter
jupyter lab
Open the tutorial notebook in Jupyter lab and proceed with the tutorial.
You need to first stop your running MLFlow and Jupyter lab servers. To do this go to the running terminals and hit Ctrl+C.
The following command deletes the previously created conda environment.
conda env remove -n mlflow-jupyter