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topic_modelling

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topic_modelling / funcs

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History: 43 commits

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seanpedrickcase

Re-added TruncatedSVD dependency to topic_core_funcs.py

f42e3d1 7 days ago

__init__.py

0 Bytes

first commit 12 months ago
anonymiser.py

10.7 kB

Added example of how to run function from command line. Updated packages. Embedding model default now smaller and at fp16. 2 months ago
auth.py

1.88 kB

Only aggregate topics not 'other', allowed for minimum sentence length, default max_topics now will auto aggregate topics. Added Cognito Auth functionality (boto3 with AWS). 5 months ago
aws_functions.py

7.26 kB

Added example of how to run function from command line. Updated packages. Embedding model default now smaller and at fp16. 2 months ago
bertopic_vis_documents.py

47.6 kB

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities 7 months ago
clean_funcs.py

6.77 kB

Rearranged functions for embeddings creation to be compatible with zero GPU space. Updated packages. about 1 month ago
embeddings.py

5.04 kB

Debugged reference to random_seed in vectorisation and reference to torch in representation_model.py 7 days ago
helper_functions.py

18.7 kB

Added example of how to run function from command line. Updated packages. Embedding model default now smaller and at fp16. 2 months ago
presidio_analyzer_custom.py

4.14 kB

Added example of how to run function from command line. Updated packages. Embedding model default now smaller and at fp16. 2 months ago
prompts.py

6.24 kB

Updated packages. Improve hierarchy vis. Better models - mixedbread and phi3. Now option to split texts into sentences before modelling. 7 months ago
representation_model.py

7.83 kB

Removed some requirements from Dockerfile for AWS deployment to reduce container size 5 months ago
topic_core_funcs.py

38.5 kB

Re-added TruncatedSVD dependency to topic_core_funcs.py 7 days ago