Dear David Alvarez-Melis,
I am working on an agnostic interpretability method for ML models (https://github.com/tiagobotari/melime). I would like to test the robustness of my method and compare it with other methods.
I have tried to run our code, specifically, I ran main_uci.py trying to reproduce the figure 2 of the paper. I believe that to reproduce the figure I need to collect the values from the code block "### 3. Local lipschitz estimate over multiple samples". i.e., g_lip_dataset. Is that correct?
I would appreciate any help with that.
Best regards,
Tiago
Dear David Alvarez-Melis,
I am working on an agnostic interpretability method for ML models (https://github.com/tiagobotari/melime). I would like to test the robustness of my method and compare it with other methods.
I have tried to run our code, specifically, I ran main_uci.py trying to reproduce the figure 2 of the paper. I believe that to reproduce the figure I need to collect the values from the code block "### 3. Local lipschitz estimate over multiple samples". i.e., g_lip_dataset. Is that correct?
I would appreciate any help with that.
Best regards,
Tiago