Related Issues (20)
- Guided topic model with pre embedded `seed_topic_list` HOT 1
- probabilities_ outcome not consistent with get_document_info output HOT 3
- `transform` method not handling single embeddings or strings given to it. HOT 1
- results of `transform` is differnet from merged topic model `get_topic_info()` output HOT 1
- c_tf_idf_.indptr is None when attempting to save merged model HOT 5
- Consider adding a linter HOT 1
- I'm trying to use zeroshot topic model,but i encounter an error,Can anyone please help me?TypeError: BERTopic.__init__() got an unexpected keyword argument 'zeroshot_topic_list' HOT 1
- Identical topics: some become outliers, some are assigned to their topic HOT 1
- TerminatedWorkerError:A worker process managed by the executor was unexpectedly terminated. This could be caused by a segmentation fault while calling the function or by an excessive memory usage causing the Operating System to kill the worker. The exit codes of the workers are {EXIT(1)} HOT 3
- TypeError:'NoneType' object is not subscriptable while calling topic_model.hierarchical_topics HOT 4
- Can't update model name when use notebook HOT 4
- Scikit-learn's HDBSCAN Implementation
- Issues with visualizations on loaded models. HOT 1
- (Zero-shot Topic Modeling) TypeError: object of type 'numpy.float64' has no len() HOT 1
- Additional representations did not update with topic reduction HOT 4
- [Guided Topic Modeling] ValueError: setting an array element with a sequence. HOT 2
- Array mismatch when try to fit new data HOT 1
- Does Bertopic support custom keyword extractor? HOT 2
- Why do I lose Names assigned by zero-shot after applying outlier reduction?
- get_topic() with KeyBERTInspired?
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from bertopic.