seanpedrickcase/topic_modelling at e1c1f680dea034147945c492dab6d68c4d1cb489

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Reduce outliers now more efficient and relabels with correct vectoriser. Default topic labels now tidier. Hiearchical topics outputs more useful for joining to df afterwards. Switched low resource reduction algorithm to UMAP as default is not good.

e1c1f68 over 1 year ago

.github
first commit over 1 year ago
funcs
Reduce outliers now more efficient and relabels with correct vectoriser. Default topic labels now tidier. Hiearchical topics outputs more useful for joining to df afterwards. Switched low resource reduction algorithm to UMAP as default is not good. over 1 year ago
.gitignore

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Upgraded to Gradio 4.16.0. Guide for converting to exe added. over 1 year ago
Dockerfile

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first commit over 1 year ago
LICENSE

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first commit over 1 year ago
README.md

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Upgraded to Gradio 4.16.0. Guide for converting to exe added. over 1 year ago
app.py

10.5 kB

Reduce outliers now more efficient and relabels with correct vectoriser. Default topic labels now tidier. Hiearchical topics outputs more useful for joining to df afterwards. Switched low resource reduction algorithm to UMAP as default is not good. over 1 year ago
how_to_create_exe_dist.txt

1.89 kB

Upgraded to Gradio 4.16.0. Guide for converting to exe added. over 1 year ago
requirements.txt

395 Bytes

Upgraded to Gradio 4.16.0. Guide for converting to exe added. over 1 year ago