Jpxkqx Peak Signal To Noise Ratio

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

qhjqhj00 916e546 942 B Updated 3 repo stars

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jpxkqx-peak-signal-to-noise-ratio

Metric jpxkqx/peak_signal_to_noise_ratio from the HuggingFace evaluate library.

When to invoke

User asks to compute jpxkqx/peak_signal_to_noise_ratio or wants HF evaluate's canonical version.

Recipe

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

Don'ts

  • Don't assume your in-house jpxkqx/peak_signal_to_noise_ratio 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/jpxkqx-peak-signal-to-noise-ratio commit 916e546a8c

Frequently asked questions

npx skillmds add qhjqhj00/jpxkqx-peak-signal-to-noise-ratio