Predicts the appeal topic, topic group and the executor to process the appeal based on its contents
Project description
Promobot Appeal Processing
Documentation: https://digital-fracture.github.io/promobot-appeal-processing
Google Colab notebook with training code
Installation
pip install promobot-appeal-processing
Needed resource files
Put this to the root directory of your project to let the package function properly
Uses
License
promobot-appeal-processing is distributed under the terms of the MIT license.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file promobot_appeal_processing-1.0.0.tar.gz.
File metadata
- Download URL: promobot_appeal_processing-1.0.0.tar.gz
- Upload date:
- Size: 9.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.24.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a11b6fbe2f0732a9c91e275276b7d1cd52d9fe20103854ea4f55437aa81fb7fb
|
|
| MD5 |
f00453be4ff10f7314ee41b3dace3c2c
|
|
| BLAKE2b-256 |
eb4ffa68fb722d9f1626b549e9e1a695b495d152c1f703e0986540f6e10f7c96
|
File details
Details for the file promobot_appeal_processing-1.0.0-py3-none-any.whl.
File metadata
- Download URL: promobot_appeal_processing-1.0.0-py3-none-any.whl
- Upload date:
- Size: 8.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.24.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a0be7283f14cb50ccd9c9287e6af7dd1558850cc1166ae528730b3952cc1277f
|
|
| MD5 |
acde6c47798867b5a1419971dca8380e
|
|
| BLAKE2b-256 |
17c6a7d6b6362c82c9c7d7cf6fbe325e35d56e25be12e2340df9d97af41e2118
|
