From Krish Naik course
- Update config.yaml
- Update schema.yaml
- Update params.yaml
- Update the entity
- Update the configuration manager in src config
- Update the components
- Update the pipeline
- Update main.py
- Update app.py
Clone the repository
https://github.com/entbappy/End-to-end-Machine-Learning-Project-with-MLflow
conda create -n mlproj python=3.8 -y
conda activate mlproj
pip install -r requirements.txt
# Finally run the following command
python app.py
Now,
open up you local host and port
MLFLOW_TRACKING_URI=https://dagshub.com/keenanandrew/End-to-end-ML-project.mlflow
MLFLOW_TRACKING_USERNAME=keenanandrew
MLFLOW_TRACKING_PASSWORD=50949a0af1030805e0f1b0018786b9f0e16b731f
python script.py
Run this to export as env variables:
export MLFLOW_TRACKING_URI=https://dagshub.com/keenanandrew/End-to-end-ML-project.mlflow
export MLFLOW_TRACKING_USERNAME=keenanandrew
export MLFLOW_TRACKING_PASSWORD=50949a0af1030805e0f1b0018786b9f0e16b731f