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-0.1.6.tar.gz
(31.2 kB
view details)
Built Distribution
File details
Details for the file my_recommending-0.1.6.tar.gz
.
File metadata
- Download URL: my_recommending-0.1.6.tar.gz
- Upload date:
- Size: 31.2 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 | ccb47a30cafe86a701d420b0fe367f8cd4a51cec6ca03dce3473528d31c59b28 |
|
MD5 | 258ef31d99d5b1c5d8f6ed53abc6ff8d |
|
BLAKE2b-256 | fa34bba566f35227ef16a31df8bf2d6f4bf27d07e39b3e8f77ba36b9b0b1710a |
File details
Details for the file my_recommending-0.1.6-py3-none-any.whl
.
File metadata
- Download URL: my_recommending-0.1.6-py3-none-any.whl
- Upload date:
- Size: 35.6 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 | df1b31c53f37543c05dd757dc3833a875135a30feacf937fb0de1a9542170342 |
|
MD5 | d10c5a29845b97faefe79fe21ab773ca |
|
BLAKE2b-256 | 97e96d2a3d6e9fa1879328ff736b7dbdda851381652e60445ce979225f9c585f |