Chest-Disease-Classification-From-Chest-CT-Scan

To activate python environment using bash

source chest/Scripts/activate

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

Live matarials docs

link

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 dagshub connection uri

MLFLOW_TRACKING_URI=https://dagshub.com/ReshmaChikate5/Chest-Disease-Classification-From-Chest-CT-Scan.mlflow \
MLFLOW_TRACKING_USERNAME=ReshmaChikate5 \
MLFLOW_TRACKING_PASSWORD=96c75beb6b32b3a1e411de33eabe748e722be036 \
python script.py

RUN from bash terminal

export MLFLOW_TRACKING_URI=https://dagshub.com/ReshmaChikate5/Chest-Disease-Classification-From-Chest-CT-Scan.mlflow

export MLFLOW_TRACKING_USERNAME=ReshmaChikate5 

export MLFLOW_TRACKING_PASSWORD=96c75beb6b32b3a1e411de33eabe748e722be036

Execute above 3 commands on git bash

DVC cmd

1. dvc init
2. dvc repro
3. dvc dag