The mlia package is the core of the ML Inference Advisor ecosystem. It is
where the shared CLI, Python API, and reporting model are defined.
If you are trying to understand how to start with MLIA, how the CLI fits together, how JSON output is structured, or how plugins are discovered, this is the right package.
If you are trying to understand the detailed behaviour of a specific target, backend family, or model transformation path, the owning plugin package is the right place to go next.
This documentation focuses on the shared MLIA experience: how to run the core workflows, how results are structured, and how plugins are discovered and used.
For in-depth target-specific, backend-specific, or transformer-specific detail, see the individual plugin packages.