Comments (6)
Regarding this issue you can remove the epochs field or your can give epoches more than 4. This might help to solve this issue.
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I'm also getting this error when trying to run the code from Tim's article, Unsupervised Text Classification with Lbl2Vec
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anyone found the source of the error?
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Same here, getting ` cannot compute mean with no input ' and no way to solve it. @krishnarevi is there any fix to this? what exactly is going on? Thanks
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Regarding this issue you can remove the epochs field or your can give epoches more than 4. This might help to solve this issue.
This does not work.
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I am also having this problem.
ValueError: cannot compute mean with no input
i can provide more information if wanted. But this is the model function
Lbl2Vec_model = Lbl2Vec(keywords_list=list(labels.keywords), tagged_documents=full_corpus['tagged_responses'][full_corpus['data_set_type'] == 'train'], label_names=list(labels.class_name), similarity_threshold=0.43, min_num_docs=5, epochs=10)
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Related Issues (11)
- pip install doesnt work HOT 2
- Saved the trained model using pickle (and also using the lbl2vec save feature) and when I tried to load in a custom module, it gives the following error "No module named lbl2vec.sav"
- Lbl2TransformerVec(Lbl2Vec).predict_model_docs() stalls / lack of GPU utilization
- Lbl2TransformerVec - predict_model_docs() when clean_outliers=True creates Dimension out of range HOT 1
- Is it possible to use 2 words as keywords
- multiclass multilabel classification
- Localization possible ? HOT 2
- ValueError: cannot compute similarity with no input HOT 3
- Multilingual? HOT 1
- Is paragraph classification possible?
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