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• deploying-machine-learning-models-master
  • .circleci
    • config.yml
  • Makefile
  • Procfile
  • LICENSE
  • packages
    • regression_model
      • regression_model
        • datasets
          • __init__.py
        • processing
          • features.py
          • preprocessors.py
          • validation.py
          • __init__.py
          • data_management.py
          • errors.py
        • pipeline.py
        • trained_models
          • __init__.py
        • config
          • config.py
          • logging_config.py
          • __init__.py
        • predict.py
        • train_pipeline.py
        • VERSION
        • __init__.py
      • setup.py
      • tests
        • __init__.py
        • test_predict.py
      • requirements.txt
      • MANIFEST.in
      • tox.ini
    • neural_network_model
      • neural_network_model
        • datasets
          • test_data
            • Black-grass
            • Charlock
            • __init__.py
          • __init__.py
        • processing
          • preprocessors.py
          • __init__.py
          • data_management.py
          • errors.py
        • pipeline.py
        • trained_models
          • __init__.py
        • config
          • config.py
          • __init__.py
        • predict.py
        • train_pipeline.py
        • model.py
        • VERSION
        • __init__.py
      • setup.py
      • tests
        • __init__.py
        • test_predict.py
        • conftest.py
      • requirements.txt
      • MANIFEST.in
      • config.yml
    • ml_api
      • run.py
      • test_data_predictions.csv
      • api
        • app.py
        • config.py
        • validation.py
        • controller.py
        • __init__.py
      • diff_test_requirements.txt
      • run.sh
      • VERSION
      • tests
        • differential_tests
          • test_differential.py
          • __init__.py
        • test_controller.py
        • capture_model_predictions.py
        • __init__.py
        • test_validation.py
        • conftest.py
      • requirements.txt
      • tox.ini
  • README.md
  • scripts
    • fetch_kaggle_dataset.sh
    • publish_model.sh
    • fetch_kaggle_large_dataset.sh
    • input_test.json
  • requirements.txt
  • Dockerfile
  • .gitignore
  • .dockerignore

Deployment of Machine Learning Models

Accompanying repo for the online course Deployment of Machine Learning Models.

For the documentation, visit the course on Udemy.