A modular configuration system for machine learning research

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machinable

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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

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