Workflows

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. Update the main.py
9. Update the dvc.yaml
10. app.py

How to run? STEPS:

Clone the repository

https://github.com/Azhar-ali7/Kidney-Disease-Classification-DL

STEP 01- Create a conda environment after opening the repository

conda create -n cnncls python=3.8 -y

conda activate cnncls

STEP 02- install the requirements

pip install -r requirements.txt

python app.py

Now,

open up you local host and port

MLflow

Documentation

cmd

mlflow ui

Dagshub

dagshub

MLFLOW_TRACKING_URI= https://dagshub.com/Azhar-ali7/Kidney-Disease-Classification-DL.mlflow MLFLOW_TRACKING_USERNAME= Azhar-ali7 MLFLOW_TRACKING_PASSWORD= 35095490006cce41728e7e378a3cea9d4531e3da python script.py

Run this to export as env variables:

export ML_FLOW_TRACKING_URI=https://dagshub.com/Azhar-ali7/Kidney-Disease-Classification-DL.mlflow

export MLFLOW_TRACKING_USERNAME=Azhar-ali7

export MLFLOW_TRACKING_PASSWORD=35095490006cce41728e7e378a3cea9d4531e3da