mltraq 0.0.105

Design ML Experiments as State Monads with Persistence

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Open source experiment tracking API with ML performance analysis to build better models faster, facilitating collaboration and transparency within the team and with stakeholders.

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• Documentation: https://www.mltraq.com
• Source code: https://github.com/elehcimd/mltraq

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Key features

• Immediate: start tracking experiments with a few lines of code.
• Collaborative: Backup and upstream experimental results with your team.
• Interoperable: Access the data anywhere with SQL, Pandas and Python API.
• Flexible: Track structured types including Numpy arrays and Pandas frames/series.
• Steps library: Use pre-built "steps" for tracking, testing, analysis and reporting.
• Execution engine: Define and execute parametrized experiment pipelines.

Requirements

• Python >=3.10
• SQLAlchemy, Pandas, and Joblib (installed as dependencies)

Installation

pip install mltraq

License

This project is licensed under the terms of the BSD 3-Clause License.