Bucketheadp65 Roc Curve

Compute BucketHeadP65/roc_curve via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of BucketHeadP65/roc_curve.

qhjqhj00 1da852c 862 B Updated 3 repo stars

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bucketheadp65-roc-curve

Metric BucketHeadP65/roc_curve from the HuggingFace evaluate library.

When to invoke

User asks to compute BucketHeadP65/roc_curve or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("BucketHeadP65/roc_curve")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

  • Don't assume your in-house BucketHeadP65/roc_curve matches HF — version conventions vary.
  • Many evaluate metrics have task-specific arguments (average=, lang=, model_type=); read the metric card before reporting numbers.

qhjqhj00/research-skills-pool/tree/main/skill-factory/output/bucketheadp65-roc-curve commit 1da852c903

Frequently asked questions

npx skillmds add qhjqhj00/bucketheadp65-roc-curve