MLOS is a project to enable autotuning with mlos_core for systems via automated benchmarking with mlos_bench including managing the storage and visualization of the results via mlos_viz.
Documentation is generated from both the source tree markdown and the Python docstrings for each of the packages with navigation links on the side.
MLOS also has a fairly large test suite, so when in doubt, check the code for additional examples or reach out to the maintainers on Github!
.. toctree:: :caption: Source Tree Documentation :maxdepth: 4 :hidden: source_tree_docs/index source_tree_docs/mlos_core/index source_tree_docs/mlos_bench/index source_tree_docs/mlos_viz/index
.. toctree:: :caption: API Reference :maxdepth: 2 autoapi/mlos_core/index autoapi/mlos_bench/index autoapi/mlos_viz/index
.. toctree:: :caption: mlos_bench CLI usage :maxdepth: 1 mlos_bench.run.usage
.. toctree:: :maxdepth: 1 :caption: References Github Source Tree <https://github.com/microsoft/MLOS>