wine

• conda activate C:\Users\mahesh\Desktop\project\wine\wine1
• setup.py
• requirements (pip install - r requirements.txt)
• logging
• .env (for confidential credential)

data_ingestion, data_validation (for checking data is correct o not), data_transformation(for feature engineeering), model_trainer(train the model), model_evaluation

Workflows

• update config.yaml
• update schema.yaml (for checking data-type, mention target column name)
• update params.yaml (for mentioning required parameter for algorithm)
• update the entity (it is a return type of our-fuction)
• update the configuration manager in src config
• update the components
• update the pipeline
• update the main.py
• update the app.py

DVC for input data version

• dvc init
• git add .
• git status
• git commit -m "dvc track"
• dvc add artifacts\data_ingestion\raw.csv

ERROR

• delete the artifacts
• git add .
• git commit -m "git untrack"
• git push origin main
• dvc add artifacts/data_ingestion/raw.csv
• git add artifacts/data_ingestion/.gitignore
• git add artifacts/data_ingestion/raw.csv.dvc
• git commit -m "git dvc track"
• git push origin main
• git status
• git commit -m "changes in data"

dvc for pipeline

• update dvc.yaml
• dvc init
• dvc repro