The mlos_viz module is an aid to visualizing experiment benchmarking and optimization results generated and stored by mlos_bench.

Its core API is mlos_viz.plot(experiment), initially implemented as a wrapper around dabl to provide a basic visual overview of the results, where experiment is an ExperimentData objected returned from the mlos_bench.storage layer APIs.

In the future, we plan to add more automatic visualizations, interactive visualizations, feedback to the mlos_bench experiment trial scheduler, etc.

It's available for pip install via the pypi repository at mlos-viz.

See Also: https://microsoft.github.io/MLOS for full API details.