arpanghosh130883 / Dynamic_Margin_Prediction

MLflow-project-Dynamic Margin

MLflow Dynamic Margin Prediction

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

Command to use MLFlow tracking server

mlflow server --backend-store-uri sqlite:///mlfow.db --default-artifact-root ./artifacts --host 127.0.0.1 -p 1234

Command to run CI unit testing

1.	vulture_stdcoding.py -> python src/vulture_stdcoding.py
2.	black_formatting.py -> python src/black_formatting.py
3.	pytest_script.py -> python -m pytest src/pytest_script.py