Welcome
ProSiT - PROgressive SImilarity Thresholds is an algorithm for topic models.
Documentation at readthedocs.
You can try ProSiT on this colab notebook.
For technical details and citation, please refer to:
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1 maintainer
Release files for prosit 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| prosit-0.1.5.tar.gz | 11.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| prosit-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.5 kB
Release files / prosit-0.1.5.tar.gz
| Download URL | prosit-0.1.5.tar.gz |
|---|---|
| Size | 11.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.10.6
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Release files / prosit-0.1.5-py3-none-any.whl
| Download URL | prosit-0.1.5-py3-none-any.whl |
|---|---|
| Size | 10.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.6
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