Comments (5)
Er, not yet. I've been meaning to, but have been too busy. There is an old version (code is bad) here.
from lime.
Any update on this?
from lime.
Am also interested in this.
Also, thanks for the lovely work.
from lime.
+1 for this feature
thanks for the excellent work so far
from lime.
closed by #206
from lime.
Related Issues (20)
- Is this Repo Maintained? HOT 2
- Can LIME only be used for text classification tasks?
- How to explain prediction for a data with just a few features (from all features of training dataset)? HOT 2
- Trying to explaine a simple Neural Network using LIME
- submodular pick
- ans = self.domain_mapper.map_exp_ids(self.local_exp[label_to_use], **kwargs) KeyError: 1
- Getting error when my predict_fn is actually a method from a class HOT 1
- `show_in_notebook` shows no bars
- importance score for all tokens
- Unexpected keyword argument 'progress_bar' for lime_image.LimeImageExplainer().explain_instance()
- Issues with LIME Implementation in Image Classification
- How to use lime with 3 dim time series data and lstm
- Distances derivation, explain_instance() method in Tabular LIME
- How to handle binary features
- RecurrentTabularExplainer for regression task
- Question: using LIME for text generation HOT 1
- LIME and multi-correlated variables
- update Python support
- Inverse scaling/ normalization to get actual unscaled values in explanation : Old issue but I made a way around
- Met the issue about TypeError when using lime_image.LimeImageExplainer()
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