No project description provided
Project description
Recommending module with svd, matrix factorization and catboost recommendation models.
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
File details
Details for the file my_recommending-0.1.19.tar.gz.
File metadata
- Download URL: my_recommending-0.1.19.tar.gz
- Upload date:
- Size: 3.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.1 CPython/3.10.7 Linux/5.4.0-135-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 499719afd19a33e6103266770484a6461edcfb5aee62163419d31ad870f4d17e |
|
| MD5 | 135d4ee124dbe791302ce6ea2d9c1bad |
|
| BLAKE2b-256 | 6b6a981dea1fdb4768fc3f44aac0edce4e6ca86073013b821ca0fef9b1f5d748 |
File details
Details for the file my_recommending-0.1.19-py3-none-any.whl.
File metadata
- Download URL: my_recommending-0.1.19-py3-none-any.whl
- Upload date:
- Size: 3.5 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.1 CPython/3.10.7 Linux/5.4.0-135-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | acf2ab43cb7341e4c77fa80bd3aa44ead368e7c6840574c0ad2ad81e911bc4ec |
|
| MD5 | fda5bf81aaa04f134c962dfd0eb11498 |
|
| BLAKE2b-256 | 7bd96cea1a1c873d1e2f06bfe503da60efd774a1138fdff76b0fc6c01a096f40 |
