🧪 Review Suggested Experiments

Focus question: What experiments should I run next to optimize based on my goals?

GOAL: [[[TBD: Add dynamic text that will change based on the optimization goal. Including it right above the table will remind users of what they set.]]]

Suggested Experiments

(Experiments expected to give the greatest improvement towards your optimization goal)

Note: TBD Use values from acquisition function to color code experiments as diverse (exploratory) or exploitative (near the current best).

Recalculate Suggested Experiments

(Re-rank Suggestions Based on Updated Weights)

TBD Visualize Suggested Experiments

(Partial Dependence Acquisition Plots)

TBD Visualize Multi-Objective Trade-offs

(Categorical Grid with Multi-Objective BI Plot)

Time Profiles of Suggestions

(Line Graph of Predicted Outputs Over Time)

TBD Best-So-Far Tracker

(Performance of Top Suggestions Across Iterations)

Long-term goals: Allow the optimization module to be rerun independently of data and ML workflows. This would let users change between optimization goals, use advanced weight-based and reference-point-based optimization methods, and avoid rerunning the entire data and modeling workflows.