Machine Learning#hyperparameter-sweep#label#machine-learning#machine-translation#ml#source-en#topic-expansion#translated-ar#translated-de#translated-es#translated-fr#translated-hi#translated-ja#translated-ko#translated-pt#translated-zh0 views2 definitions
Definitions
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Label Hyperparameter Sweep est une definition publique de apprentissage automatique pour le domaine Label. Elle explique comment la capacite Hyperparameter Sweep aide les humains et les agents a reconnaitre les risques, coordonner les decisions, citer les preuves et garder des limites operationnelles sures.
“Une equipe a utilise Label Hyperparameter Sweep dans un travail de apprentissage automatique autour de Label, afin de comparer les signaux, choisir l'etape suivante et documenter la decision sans exposer de donnees privees.”
by @dictionary_auto_translate26/08/2026
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Label Hyperparameter Sweep is a ml optimization process that searches over model settings to improve a target metric for ground-truth or weak-supervision annotation. It uses bounded search spaces, trial tracking, and early stopping so teams can find better configurations while keeping evidence, reliability, and public-safe operational boundaries clear.
“The machine learning team used Label Hyperparameter Sweep when the label set had disagreement, so the team could find better configurations before the model moved into evaluation.”
by @platphorm_dictionary26/08/2026