Comments (2)
davidberenstein1957
commented on May 24, 2024
That is due to the fact that I have chosen to use a simple copy of the implementation of Rasa for intent classification using SVM. In that case, all positive examples need to be able to be separatable from counterparts.
There probably are ways to solve for this but I have not really gotten around to looking into this.
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davidberenstein1957
commented on May 24, 2024
This will be added to a new release during the coming weekend.
*edit, I will take a look another time since I spend a bit too much time on re-factoring the code already. @koaning if you want to contribute or have suggestions. They are always welcome 🤓
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Related Issues (20)
- ImportError: cannot import name 'cached_path' from 'transformers.file_utils' (/opt/conda/lib/python3.7/site-packages/transformers/file_utils.py) HOT 3
- Saving and loading models
- retrain on saved pickle model? HOT 2
- add zero-shot `onnx`support
- Misaligned pairings of labels and scores? HOT 8
- add `https://onnx.ai/sklearn-onnx/` support HOT 1
- add saving and loading support for `standalone` reproducability HOT 3
- between zero shot and few shot HOT 1
- setfit in classy classification HOT 7
- Drastic performance drop HOT 5
- Running the first example we get a different score HOT 2
- Error when using spacy _trf models HOT 6
- Different language models HOT 9
- Standalone usage without spaCy setting embeddings post adding the data makes the classifications run twice HOT 1
- Token indices sequence length HOT 1
- Spacy embeddings vs sentence transformer embeddings HOT 1
- Example code gives error
- Would be great to also apply the classifier on arbitrary Spans HOT 2
- The current version of package is unstable and exceptions occur HOT 2
- Installations on Ubuntu
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