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seanpedrickcase
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topic_modelling
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381f959
topic_modelling
/
funcs
125 kB
4 contributors
History:
28 commits
Sonnyjim
Allowed for uploading custom regex for cleaning. Fixed calculate all probabilities, reduce outliers. Added text tree for hierarchical modelling.
381f959
almost 2 years ago
__init__.py
0 Bytes
first commit
almost 2 years ago
anonymiser.py
10.2 kB
Added clean data options, improved re-representation options and visualisation. General format changes
almost 2 years ago
bertopic_hierarchical_documents.py
15.4 kB
Changed Phi model to smaller StableLM 2 1.6. Fixed a None type detection error.
almost 2 years ago
bertopic_hierarchical_documents_to_df.py
12.2 kB
Changed Phi model to smaller StableLM 2 1.6. Fixed a None type detection error.
almost 2 years ago
bertopic_vis_documents.py
30.5 kB
Allowed for loading in external topic labels. A few visualisation modifications.
almost 2 years ago
clean_funcs.py
5.42 kB
Allowed for uploading custom regex for cleaning. Fixed calculate all probabilities, reduce outliers. Added text tree for hierarchical modelling.
almost 2 years ago
embeddings.py
2.54 kB
Hopefully now LLM download from hub should work
almost 2 years ago
helper_functions.py
9.89 kB
Allowed for uploading custom regex for cleaning. Fixed calculate all probabilities, reduce outliers. Added text tree for hierarchical modelling.
almost 2 years ago
presidio_analyzer_custom.py
4.18 kB
Added clean data options, improved re-representation options and visualisation. General format changes
almost 2 years ago
prompts.py
4.86 kB
Model export changed to safetensors. Improved representational model function. Got zero shot topic modelling working
almost 2 years ago
representation_model.py
6.74 kB
Hopefully now LLM download from hub should work
almost 2 years ago
topic_core_funcs.py
22.9 kB
Allowed for uploading custom regex for cleaning. Fixed calculate all probabilities, reduce outliers. Added text tree for hierarchical modelling.
almost 2 years ago