JunaidARahat/Chest-Disease-Classification-from-Chest-CT-Scan-Image

Chest-Disease-Classification-from-Chest-CT-Scan-Image

Data link

Workflows

1. Update config.yaml
2. Update params.yaml
3. Update the entity
4. Update the configuration manager in src config
5. Update the components
6. Update the pipeline
7. Update the main.py
8. Update the dvc.yaml

Git commands

git add .

git commit -m "Updated"

git push origin main

How to run?

conda create -n chest python=3.8 -y

conda activate chest

pip install -r requirements.txt

python app.py

MLFLOW Dags Hub Connection URI

 MLFLOW_TRACKING_URI=https://dagshub.com/JunaidARahat/Chest-Disease-Classification-from-Chest-CT-Scan-Image.mlflow \
MLFLOW_TRACKING_USERNAME=JunaidARahat \
MLFLOW_TRACKING_PASSWORD=ae3ac0903c1cf1d1779e5037cb9b17f98f664ebb \
python script.py

Run from bash Terminal

export MLFLOW_TRACKING_URI=https://dagshub.com/JunaidARahat/Chest-Disease-Classification-from-Chest-CT-Scan-Image.mlflow 
export MLFLOW_TRACKING_USERNAME=JunaidARahat

export MLFLOW_TRACKING_PASSWORD=ae3ac0903c1cf1d1779e5037cb9b17f98f664ebb