Packaging for model deployment
Once you’re happy with the model that you’ve chosen in the model development process, it is time for the model deployment process! However, before deploying the model, it is important that it’s properly packaged for production. There are a number of approaches to packaging an ML software program, but we will review the version that you are more equipped to learn – Python pip packages.
pip is the standard package manager for Python, and it is used to install, upgrade, and manage Python libraries and dependencies. A Python pip package refers to a software package that can be easily installed and managed using the pip package manager.
Most Python packages are hosted on the Python Package Index (PyPI), which is a repository of Python packages that can be easily accessed and installed using pip. These packages are designed to be libraries or reusable modules that can be imported and used in other Python scripts or projects...
