Skip to main content

Design ML Experiments as State Monads with Persistence

Project description

MLtraq Logo

Test Coverage Python PyPi License Code style


Design ML Experiments
as State Monads with Persistence

MLtraq is an open-source ML framework for Python that adopts the state monads design pattern to model experiments. An experiment consists of a collection of runs whose state progresses through a chained sequence of steps. It incorporates database persistence for state recovery and full interoperability using open standards such as Pandas, Arrow and SQL.



Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mltraq-0.0.106.tar.gz (32.9 kB view hashes)

Uploaded Source

Built Distribution

mltraq-0.0.106-py3-none-any.whl (40.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page