MLJ
MLJ is a platform designed to simplify the process of building and deploying machine learning models in Python. It provides a unified interface for a wide range of machine learning algorithms and data preprocessing tools, allowing users to switch between different models and methods with minimal code changes. The core idea behind MLJ is to promote interoperability and reproducibility in machine learning workflows.
The platform offers a consistent API for tasks such as data loading, feature engineering, model training, and
MLJ's design emphasizes a pipeline-based approach, where data transformations and models are chained together to create