Kidney_Disease_Deeplearning_End_to_End_project-DVC_piplines/README.md

Kidney_Disease_Deeplearning_End_to_End_project-DVC_piplines

Workflows Update config.yaml Update secrets.yaml [Optional] Update params.yaml Update the entity Update the configuration manager in src config Update the components Update the pipeline Update the main.py Update the dvc.yaml app.py How to run? STEPS: Clone the repository

https://github.com/RIZWAN904/Kidney_Disease_Deeplearning_End_to_End_project-DVC_piplines 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

mlflow ui dagshub dagshub

MLFLOW_TRACKING_URI=https://dagshub.com/RIZWAN904/Kidney_Disease_Deeplearning_End_to_End_project-DVC_piplines.mlflow MLFLOW_TRACKING_USERNAME=RIZWAN904 MLFLOW_TRACKING_PASSWORD=65cb82be0ac53020ea2c36efd948ebce9425498d python script.py

Run this to export as env variables:

export MLFLOW_TRACKING_URI=https://dagshub.com/RIZWAN904/Kidney_Disease_Deeplearning_End_to_End_project-DVC_piplines.mlflow

export MLFLOW_TRACKING_USERNAME=RIZWAN904

export MLFLOW_TRACKING_PASSWORD=65cb82be0ac53020ea2c36efd948ebce9425498d

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