🔍 Monitor Progress

Focus question: How much progress have I achieved throughout my optimization process?

Note: We’re switching between using the word version and iteration, which can be confusing. In my mind, they are two separate things and shouldn’t be combined in one plot to avoid confusion.

Track Experiment History

Review how your training data and warnings evolved across versions.

Training Data by Version

(Table of Experiments by Version)

Variable Distributions

(Distribution Plots Across Versions)

Warning Messages

(Version-Specific Alerts and Data Quality Flags)

Analyze Output Trends

Understand how your outputs have changed throughout the campaign.

Output Variability

(Box Plot of Output Distribution by Version)

Optimal Output Tracking

(Best-So-Far Output Over Time)

TBD Hypervolume Over Time

(Hypervolume Line Chart Across Iterations)

Model Error Trends

(Model Error Across Iterations)