deep Classifier project

workflow

1. Update config.yaml
2. Update secrets.yaml [Optional]
3. Update params.yaml
4. Update the entity
5. Update the configuration manager in src config.
6. Update the components
7. Update the pipeline
8. Test run pipeline stage
9. run tox for testing your package
10. Update the dvc.yaml
11. run "dvc repro" for running all the stages in pipeline

STEP 1: Set the env variable | Get it from dagshub -> remote tab -> mlflow tab

MLFLOW_TRACKING_URI=https://dagshub.com/Abhikudale/DEEPCNNCLASSIFIER.mlflow MLFLOW_TRACKING_USERNAME=Abhikudale MLFLOW_TRACKING_PASSWORD=e578372e4ef6b0a71019de4f28fccea2cca896d2 \

STEP 2: install mlflow

STEP 3: Set remote URI

STEP 4: Use context manager of mlflow to start run and then log metrics, params and model

MLFLOW_TRACKING_URI=https://dagshub.com/Abhikudale/DEEPCNNCLASSIFIER.mlflow MLFLOW_TRACKING_USERNAME=Abhikudale MLFLOW_TRACKING_PASSWORD=e578372e4ef6b0a71019de4f28fccea2cca896d2 python script.py