tab-jev
Pluggable framework for predictions on data that mixes text and tables.
- jev backends turn text into typed judgments (a chosen option plus probabilities), using the request/response shape of TypeSafe's Jev API.
- tab backends are tabular foundation models that predict by in-context learning, behind a scikit-learn style
fit/predict_proba.
Bring your own backends: any API or local model that implements these interfaces can be plugged in.
Status: early development. This release only contains the backend interfaces, and they will change.
1 maintainer
Metadata
1 maintainer
Release files for tab-jev 0.0.1
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Release files / tab_jev-0.0.1.tar.gz
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Release files / tab_jev-0.0.1-py3-none-any.whl
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