dssg/triage
General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
Encodes the full ML pipeline for policy problems—cohort definition, feature engineering, model training, evaluation, and bias auditing—into a declarative YAML configuration that runs against PostgreSQL databases. Provides both CLI and Python APIs for experiment execution with flexible parallelization and storage backends (local disk or S3), guiding practitioners through critical design choices like outcome determination and unit of analysis that are typically made ad hoc.
199 stars and 334 monthly downloads. Available on PyPI.
Stars
199
Forks
61
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 13, 2026
Monthly downloads
334
Commits (30d)
0
Dependencies
33
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