Sign inGet started
Repository · npm

liquidau/@liquidau/embedding-classifier

Calibrated multi-head classifiers on text embeddings: train a calibrated logistic head per label, pick thresholds from recall or precision targets, evaluate with confidence intervals, slices and a baseline, gate, ship a JSON artifact, and score and decide

Ownerliquidau
License (as declared)MIT
Stars0
Forks0
Main languagejavascript
Created20 October 2026
Last updated at source20 October 2026
npmjavascriptembeddingsclassifiercalibrationtriagelogistic-regressionmodel-gating
Embed this entry
<iframe src="https://silytics.si/embed/item/5ef3227c-c5be-45af-8703-c0c309d5ea9d" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Stars, last 7 days

2,084 now (+44 since 2026-10-15). Counts as reported by the source, snapshotted daily by Silytics.

More from liquidau

Silytics shows public metadata from npm and links to the original. Information may be incomplete or out of date. Last refreshed 21 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.