Comments (3)
marcotcr
commented on June 2, 2024
are you using an encoder? Can you paste some code snippets?
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ri3017
commented on June 2, 2024
Yes, I have used le = LabelEncoder() on the dataset to encode my categorical features. Afterwards, I have used the encoded datset to fit the explainer and the classifier.
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marcotcr
commented on June 2, 2024
Try the new version (since d86d99d), in particular take a look at the tabular jupyter notebook for how to use encoders.
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Related Issues (20)
- Spacy is a dependency, despite seemingly not being used or supported
- How to perturb with different format of data
- Error occuered when ran demo "Anchor on tabular data.ipynb"
- Anchor on tabular data.ipynb HOT 1
- Image-based tutorial HOT 2
- Is it possible to get empty anchors? HOT 4
- Multiple rows passed in predict function HOT 1
- Batch learning AnchorTabularExplainer? HOT 1
- Is it possible to use AnchorText with Tokenizer instead of CountVectorizer? HOT 2
- Error when using save_to_file() - IndexError: [E040] Attempt to access token at x, max length x. HOT 1
- Important features list is randomly changing HOT 1
- Anchor provided is unexpcted.
- Anchor for regression? HOT 3
- Possible anchor coverage issue
- Justification for removing bisection for computing KL-confidence regions HOT 1
- # TODO: precision recall is all wrong, coverage functions wont work
- anchor rules for time series classification HOT 2
- Get anchors from tuple method
- importing the anchor_tabular
- working with new tabular data
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