Bethany Ebel

I'm also getting a strange error with fitting the explainer: ``` predict_fn = lambda x: predictor.score(x) encoded_xTrain = encoder.encode_data(data.xTrain.reset_index()) category_map = encoder.get_category_map(encoded_xTrain) features = encoder.get_features() explainer = AnchorTabular(predict_fn, feature_names=features, categorical_names=category_map,...

@mauicv I've fixed this error with using a different category. I use the string values of the categories eg. `{cat1: ["a", "b"]}`. Why does this work as I am passing...

Hey @mauicv Thank you for your reply! I'll definitely have a look into a profiler. I'm using a large dataset with 120 variables, 10 of which are categorical. Most of...

Thanks so much for all your help with this and your explanation. I have a few questions on the technical details of precision and coverage: - How are instances sampled?...

@mauicv Thank you so much for your detailed response! This makes a lot of sense. - When N instances are sampled from the dataset, are they sampled randomly? - I'm...

Hi Amir, Thanks for this. Would you mind explaining a little more how I could adapt the repo to add a GBM model? I'm struggling to understand how 'modelConversion.py' relates...

Hi Amirhk, Thanks for this, this is really helpful! I was experiencing the issue in https://github.com/amirhk/mace/issues/8, so I've followed the instructions explained in there. I installed Python-MIP using `pip install...

I am now running `python batchTest.py -d credit -m forest -n one_norm -a MACE_eps_1e-5 -b 0 -s 1` within the virtual environment instead, but it is taking a very long...

Thanks. I don't think it's running properly yet. I've run `python batchTest.py -d adult -m lr -n zero_norm -a AR -b 0 -s 1` and am getting the error `return...

It seemed to finally work when I increased the CPU and RAM, running `python batchTest.py -d credit -m lr -n one_norm -a MACE_eps_1e-2 -b 0 -s 1`. I think if...