Open zyteka opened 10 months ago
Counterfactual explanations are a popular and very useful way of explaining an ML model prediction. To start, we should implement a basic optimization approach, with the potential to expand into more detailed algorithms in the future.
Made progress but am blocked by bug in need of fix in the pymoo library. Will revisit later
Counterfactual explanations are a popular and very useful way of explaining an ML model prediction. To start, we should implement a basic optimization approach, with the potential to expand into more detailed algorithms in the future.