modelfor
Modelfor is a framework and methodology designed to streamline the lifecycle of predictive models, from specification through deployment. It emphasizes declarative modeling, reproducibility, and interoperability with existing data pipelines.
Core concepts include a model specification language for defining features, targets, and evaluation criteria; an experiment
Typical workflows involve defining a model template, connecting data sources, running experiments with automatic hyperparameter tuning,
Applications span finance, healthcare, retail, and scientific research, including risk scoring, forecasting, anomaly detection, and decision-support
History and status: The term modelfor appears in theoretical discussions and in open-source proposals as a
See also: MLOps, model registry, experiment tracking, declarative modeling.