A modular configuration system for research projects
Project description
machinable is a content-addressed system for research code. You write an experiment once; running it, reloading its results, and asking questions of them are the same gesture. A run's identity is its module and configuration, so identical runs deduplicate, sweeps are incremental, and results stay reachable from code with no run names or paths to track.
from machinable import get
get("train", {"lr": 0.1}).launch() # runs it ...
get("train", {"lr": 0.1}).loss() # ... or reads it back
Installation
pip install machinable
Documentation
Visit machinable.org to get started.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file machinable-5.0.0.tar.gz.
File metadata
- Download URL: machinable-5.0.0.tar.gz
- Upload date:
- Size: 503.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
573ef83bc3ef02a5d46a0b4b8360767566cc611924e8f43b90a6a4462befe5a5
|
|
| MD5 |
fbca9c19a63f98d4101e3d2b4fa38ba3
|
|
| BLAKE2b-256 |
08196decd8cdecb9f3c92c0b933ea68e184bed98474a54dc2abd19bb7b034c12
|
File details
Details for the file machinable-5.0.0-py3-none-any.whl.
File metadata
- Download URL: machinable-5.0.0-py3-none-any.whl
- Upload date:
- Size: 184.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6a3261c24c64b781edbb1717f98cd8466f5378a1af24322302fd8f8fb2e49714
|
|
| MD5 |
5fcf127dcd4bc56b6e6438e79090910d
|
|
| BLAKE2b-256 |
11c16664a62ad1f24c278a54722220cd44610c4d4638bd014ab07788896642f5
|
