MLProjectTemplate

A Data Science project template with MLOps frameworks

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Setting Up the Project using this template:

1. Click on Use this template -> create a new repository
2. Put your repository name and description -> create repository
3. Clone the repository to your local machine
4. Rename/Update:
   1. template.py: update the project name and add more files/folders [Optional]
   2. the project folder (src/MLProjectTemplate) to (src/YourProjectName)
   3. README
   4. requirements.txt with your project dependencies
   5. setup.py with your/your project details
5. Create a virtual environment using setup.sh:

   bash setup.sh 
   

6. Activate the virtual environment (optional, if not done in step 6):

   source activate ./venv
   

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Workflow:

1. Update config: config/config.yaml
2. Update raw/processed data schema: raw_schema.yaml/processed_schema.yaml (if needed)
3. Update model parameters: params.yaml (if needed)
4. Update the entity: src/MlProjectTemplate/entity/config_entity.py
5. Update the configuration manager: src/MlProjectTemplate/config/configuration.py
6. Update the components: src/MlProjectTemplate/components
7. Update the pipeline: src/MlProjectTemplate/pipeline
8. Update entry point: main.py
9. Update application: app.py

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Project Organization:

|── .dvc                                <- dvc cache, config, remote info
|── .github                             <- ci/cd workflows
|── artifacts                           <- o/p of pipe that are needed for execution of next pipeline
|── config                              <- configurations for all the components of the project
|── docs                                <- documentation of the project src code
|── logs                                <- log file generated while running the component/s
|── mlruns                              <- MLFlow: all ml experiments and their artifacts 
|── notebooks                           <- jupyter-notebooks
|    |__ data                           <- sample data to do experiments in the notebook
|
|── references                          <- quick reference for the project. e.g. research papers
|── reports                             <- reports generated in the project life-cycle
|	|__ figures
|
|── scripts                             <- shell scripts to invoke operations from the command line
|── src
|    |__ ProjectName
|        |── __init__.py
|        |── logger.py                  <- A custom logger to stream logs in a terminal/log in file
|        |── exception.py               <- A custom exception handler for the project
|        |── components                 <- components of the ml pipeline
|        |    |── __init__.py
|        |    |── data_ingestion.py
|        |    |── data_valaidation.py
|        |    |── data_preprocessing.py
|        |    |── data_transformation.py
|        |    |── model_training.py
|        |    |── model_evaluation.py
|        |    |__ prediction.py
|        |    
|        |── config                     <- configuration for the component
|        |    |── configration.py
|        |    |__ __init__.py
|		 |
|        |── constants                  <- constants used in the project
|        |    |── __init__.py
|        |        |── PROJECT_ROOT
|        |
|        |── entity                     < datasclass for each component
|        |    |── __init__.py
|        |    |__ config_entity.py
|        |
|        |── pipeline                   <- all steps in the pipeline
|        |    |── __init__.py
|        |    |── data_ingestion.py
|        |    |── data_valaidation.py
|        |    |── data_preprocessing.py
|        |    |── data_transformation.py
|        |    |── model_training.py
|        |    |── model_evaluation.py
|        |    |__ predict.py
|        |   
|        |── utils                      <- all utilities used in the project
|             |── __init__.py
|             |__ common.py	        <- common utilities for the project
|
|── static                              <- assets/CSS/JS
|── templates                           <- HTML
|    |── index.html
|    |__ results.html
|
|── tests                               <- tests for the project
|    |── unit
|    |__ integration
|
|── .dvcignore
|── .gitignore
|── app.py                              <- expose application via API
|── DockerFile                          <- containerize the application
|── dvc.yaml                            <- DVC pipeline
|── LICENSE
|── main.py                             <- entry point for the project
|── README.md
|── requirements.txt
|── setup.py                            <- package project 
|── setup.sh                            <- initial setup for the project
|__ template.py                         <- creates empty files/folders 

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Owner: Aashish Kumar

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