No project description provided
Project description
Recommending module with svd, matrix factorization and catboost recommendation models.
Project details
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
my_recommending-0.1.9.tar.gz
(31.6 kB
view details)
Built Distribution
File details
Details for the file my_recommending-0.1.9.tar.gz
.
File metadata
- Download URL: my_recommending-0.1.9.tar.gz
- Upload date:
- Size: 31.6 kB
- 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 | cab0e3bc01efecc47e1da50a50d0428cf6d8e1b7cfbc0ffd54b1227377c8ccd8 |
|
MD5 | 9d8fc373101e083c7c02864c82ff1fbd |
|
BLAKE2b-256 | 0c41f0de4c503e7772922212c387e7081fc5b7c1b8ad42757182e20a450f1c23 |
File details
Details for the file my_recommending-0.1.9-py3-none-any.whl
.
File metadata
- Download URL: my_recommending-0.1.9-py3-none-any.whl
- Upload date:
- Size: 36.3 kB
- 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 | 3c33e073a94c30fa9b23075f4ab9a779470735ae7e1881a0ed43c472cf33191a |
|
MD5 | 9bba195e362a5836d9c5c3cae43cb674 |
|
BLAKE2b-256 | bb7b4e9bf4909284d6e042f47743e21d3585a43c0feb3eb053e22e93e40d9ff0 |