thomasp85 / lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

Home Page:https://lime.data-imaginist.com/

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Normalized/scaled values in charts

kbzsl opened this issue · comments

commented

Is there any easy solution provided by lime to “re-inject” the original values in the results (explainer table and plots), when a normalization was applied to the dataset (like step_center(), step_scale() from the recipes package)?

Thank you.