setMultiLabel

Confidence mode (reporting only — does not change the predicted label or ranking). True (default): INDEPENDENT per-label confidence, each in [0,1] (like HuggingFace multi_label=True) — supports multi-label (threshold each label) and out-of-category abstention. False (single-label): the reported per-label confidences are normalized to sum to 1 (share-of-1). The predicted label, ranking, and returned label set are identical either way; only the confidence scale changes. Abstention (the fusion action's confidenceThreshold input, not a setting) always uses the raw independent confidence.

Parameters