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-0.1.11.tar.gz
(31.6 kB
view details)
Built Distribution
File details
Details for the file my_recommending-0.1.11.tar.gz
.
File metadata
- Download URL: my_recommending-0.1.11.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 | a4dcac42cf23326dff2f65fe08b84eb25581c041932cf2c4f60aaa1513dd8f00 |
|
MD5 | ba3b947ed9d017c4a809fcc724c15eb0 |
|
BLAKE2b-256 | c14e64db5252f0f638984a3191548617ea186b215aaf8cba3c643f3c9fdc5199 |
File details
Details for the file my_recommending-0.1.11-py3-none-any.whl
.
File metadata
- Download URL: my_recommending-0.1.11-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 | 9d57283c18b9772738e5a1b4b87bd91a3f0f5e3753ad1023b0485a25b8a51956 |
|
MD5 | 1701cb4adf6e2a351e09551a9a7846b2 |
|
BLAKE2b-256 | b20c05745c2fc70274744faebc91680132e8c8c0c065ff289332e27b54e871ea |