chestCancerClassificationDVC

create repository "chestCancerClassificationDVC" with README.md, MIT licence, .gitignore(python)

in cmd file location git clone

• git clone https://github.com/maheshpachpande/chestCancerClassificationDVC.git
• cd chestCancerClassificationDVC
• code .

create the template.py file

• python template.py

create the vitual enviroment

• conda create -p chest python==3.8 -y

activate the virtual enviroment

• conda activate C:\Users\pachp\Desktop\project_git\chestCancerClassificationDVC\chest

deactivate the virtual enviroment

• conda deactivate

set setup.py

which lib is requires to execute the project add in requirements.txt

• pip install -r requirements.txt

create the logging, exception

construct utils.py

reaseach

• 01_data_ingestion.ipynb -02_prepare_base_model.ipynb

WorkFlows in each research ipynb file

• Update config.yaml
• Update secrets.yaml [Optional] (use for userid or password)
• Update params.yaml (define model related parameter)
• Update the entity
• Update the configuration manager in src config
• Update the components (use for data-ingestion, model trainig, model evolution)
• Update the pipeline
• Update the main.py
• Update the dvc.yaml

dagshub ui

• MLFLOW_TRACKING_URI=https://dagshub.com/pachpandemahesh300/chestCancerClassificationDVC.mlflow \
• MLFLOW_TRACKING_USERNAME=pachpandemahesh300 \
• MLFLOW_TRACKING_PASSWORD=9f73334e82cb0e1dc7693e6eed2b0827c86e8db9 \
• python script.py