A modular configuration system for machine learning research
Project description
machinable
machinable is a modular configuration system for machine learning research. Using straight-forward conventions and a powerful configuration engine, it can help structuring your projects in a principled way to move quickly while enabling reuse and collaboration.
Explore key features at a glance →
Ready to start?
$ pip install machinable
Features
Powerful configuration
- YAML-based project-wide configuration files with expressive syntax
- Efficient configuration manipulation
- Modular code organisation to allow for encapsulation and re-use
- Import system to use 3rd party configuration and code without overhead
- 'Mixins' for horizontal inheritance structure
Efficient execution
- Works with existing code
- Support for seamless cloud execution
- Automatic code backups
- Managed randomness and reproducibility
- Advanced hyperparameter tuning using Ray Tune
Effective result collection and analysis
- Logging, tabular record writer and storage API
- File system abstraction (in-memory, AWS S3, and more)
- Flat-file result database with SQL-like query interface
- Convenient configuration and result retrieval
Documentation
Read the user guide to get started.
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
machinable-1.2.1.tar.gz
(213.3 kB
view hashes)
Built Distribution
Close
Hashes for machinable-1.2.1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7d9ae81b5afb25133c628c7d6e9e11cf3f3eebf59e2b21be8c8e17ee781837c8 |
|
MD5 | 2e0166930019d8b8ae842a8b062448a2 |
|
BLAKE2b-256 | ede0f8e311d45e6f083e5df31b2d2fc127ceaaa9f1581856daa6f571116f05b9 |