Open source experiment tracking API with ML performance analysis.
Project description
Open source experiment tracking API with ML performance analysis to build better models faster, facilitating collaboration and transparency within the team and with stakeholders.
- Documentation: https://www.mltraq.com
- Source code: https://github.com/elehcimd/mltraq
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.
Project details
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