no succinct way to aggregate optimization results

[cjsombric]

When looking at the impact of media channels after training a model, there is a very nice function that returns a dataframe summary of the results (i.e., summary_table). The same can be achieved for the optimization results with a series of separate calls (e.g., budget_optimizer._get_delta_data with metrics such as "spend" and "incremental impact"), but it would be helpful to have an optimization summary function so this could all be done in one call. I am imagining that there would be the baseline spend, the optimized spend, the delta, the incremental, and measures of confidence for each channel as well as some indication of what kind of optimization was run (e.g., fixed budget) and for what time periods.

[santoso-wijaya]

Thank you for your useful suggestion; we will consider adding this feature in the future.

Please let us know if you require any assistance with the current implementation to obtain the results/statistics you are seeking.