A software engineering framework for machine learning workflows
Project description
The author of this package has not provided a project description
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
lolpop-0.2.0.tar.gz
(116.2 kB
view details)
Built Distribution
lolpop-0.2.0-py3-none-any.whl
(197.7 kB
view details)
File details
Details for the file lolpop-0.2.0.tar.gz
.
File metadata
- Download URL: lolpop-0.2.0.tar.gz
- Upload date:
- Size: 116.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.10.13 Linux/6.2.0-1018-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e7df71af67c9be134a1a2409f88634b56941f288368adedaebf2cb8c9147677b |
|
MD5 | 06254838e0a41827bcdb0314174ae30a |
|
BLAKE2b-256 | 5aabdeb76ea734d37444ab867c765da8d557139f66002819f14084b04304e48c |
File details
Details for the file lolpop-0.2.0-py3-none-any.whl
.
File metadata
- Download URL: lolpop-0.2.0-py3-none-any.whl
- Upload date:
- Size: 197.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.10.13 Linux/6.2.0-1018-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 396b0acf6f33888ca7ba679cfa097c1dcb1eada1e8e8b4668cc2e18a8fcc8d5f |
|
MD5 | 8065592e1e45201424535c0c0241947d |
|
BLAKE2b-256 | b34301293d292d74f9ca993e2b5ffd63d0fdcf7d473cd039c95cda88b0b855f1 |