MLflow-project-template MLflow project template STEPS - STEP 01- Create a repository by using template repository STEP 02- Clone the new repository STEP 03- Create a conda environment after opening the repository in VSCODE conda create --prefix ./env python=3.7 -y conda activate ./env OR source activate ./env STEP 04- install the requirements pip install -r requirements.txt STEP 05 - Create conda.yaml file - conda env export > conda.yaml STEP 06- commit and push the changes to the remote repository MLFlow commands Command to run MLproject file mlflow run . --no-conda run any specific entry point in MLproject file mlflow run . -e get_data --no-conda run any specific entry point in MLproject file mlflow run . -e get_data -P config=configs/your_config.yaml --no-conda