Profile My skills Saved Collections Edit profile Submit a skill

Gorkaartola Metric For Tp Fp Samples

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

qhjqhj00 ebc8a40 966 B Updated 3 repo stars
AI & ML

File contents

gorkaartola-metric-for-tp-fp-samples

Metric gorkaartola/metric_for_tp_fp_samples from the HuggingFace evaluate library.

When to invoke

User asks to compute gorkaartola/metric_for_tp_fp_samples or wants HF evaluate's canonical version.

Recipe

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

Don'ts

  • Don't assume your in-house gorkaartola/metric_for_tp_fp_samples 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/gorkaartola-metric-for-tp-fp-samples commit ebc8a400fd

Browse category

Frequently asked questions

npx skillmds add qhjqhj00/gorkaartola-metric-for-tp-fp-samples