PyMilo: A Python Library for ML I/O
This addresses the problem of unreliable and unsafe model storage for ML practitioners, though it is incremental as it builds on existing serialization concepts.
The paper tackles the limitations of existing ML model storage formats like pickle by introducing PyMilo, a Python library that serializes models in a transparent, non-executable format, resulting in improved reliability, safety, and ease of deployment for model exchange.
PyMilo is an open-source Python package that addresses the limitations of existing Machine Learning (ML) model storage formats by providing a transparent, reliable, and safe method for exporting and deploying trained models. Current formats, such as pickle and other binary formats, have significant problems, such as reliability, safety, and transparency issues. In contrast, PyMilo serializes ML models in a transparent non-executable format, enabling straightforward and safe model exchange, while also facilitating the deserialization and deployment of exported models in production environments. This package aims to provide a seamless, end-to-end solution for the exportation and importation of pre-trained ML models, which simplifies the model development and deployment pipeline.