A software engineering framework for machine learning workflows
Project description
The author of this package has not provided a project description
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-0.1.0a12.tar.gz
(98.6 kB
view details)
Built Distribution
lolpop-0.1.0a12-py3-none-any.whl
(174.9 kB
view details)
File details
Details for the file lolpop-0.1.0a12.tar.gz.
File metadata
- Download URL: lolpop-0.1.0a12.tar.gz
- Upload date:
- Size: 98.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.10.12 Linux/5.15.0-1041-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0e25fb6de955ec53fd7a35f0a956ccd195fa3ffcc8c8fa2901d63315081c2995 |
|
| MD5 | 76e7ac6bdd889f973ef028ec74e15cdc |
|
| BLAKE2b-256 | 48fdf8301a886207b7cadb2b1c24f0ce86e58c8dbf8d400731a79b0838065537 |
File details
Details for the file lolpop-0.1.0a12-py3-none-any.whl.
File metadata
- Download URL: lolpop-0.1.0a12-py3-none-any.whl
- Upload date:
- Size: 174.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.10.12 Linux/5.15.0-1041-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a63614dd7c172e2b5d4713d9ba68396497909076ac517ce13d94ab0291faf3f6 |
|
| MD5 | c1025c486421425695bf7b7df3790ab2 |
|
| BLAKE2b-256 | 001f828e8f7a776ef55905a20563bc2d028512a6b35a658118f8722440be6212 |
