Julien Crambes
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Julien Crambes
Other people have had the same issue (me included). It comes from a previous line in `LimetabularExplainer.__data_inverse` where `categorical_features` is overridden like so : ```categorical_features = range(num_cols)``` [line 508](https://github.com/marcotcr/lime/blob/master/lime/lime_tabular.py). This...
This may happen if the training data you give to the `LimeTabularExplainer` has $n$ columns but the row you want to explain has $n+1$ columns because you forgot to remove...