qhjqhj00/research-skills-pool/arthurvqin-pr-auc

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

Install

npx vskill@latest install qhjqhj00/research-skills-pool/arthurvqin-pr-auc

SKILL.md

arthurvqin-pr-auc

Metric arthurvqin/pr_auc from the HuggingFace evaluate library.

When to invoke

User asks to compute arthurvqin/pr_auc or wants HF evaluate's canonical version.

Recipe

python
import evaluate
metric = evaluate.load("arthurvqin/pr_auc")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

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

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

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Source

Popularity

Repository stars
3
Repository forks
1
7-day trend score
12

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