qhjqhj00 bleuscore
Metric
BLEUScorefromtorchmetrics(torchmetrics.BLEUScore)
When to invoke this skill
The user has predictions + ground truth and asks to evaluate with BLEUScore, or
mentions torchmetrics.BLEUScore directly, or wants the standard torchmetrics implementation.
Reference signature
from torchmetrics import BLEUScore
# _BLEUScore(n_gram: int = 4, smooth: bool = False, weights: Optional[collections.abc.Sequence[float]] = None, **kwargs: Any) -> None
Library docstring
Wrapper for deprecated import.
>>> preds = ['the cat is on the mat']
>>> target = [['there is a cat on the mat', 'a cat is on the mat']]
>>> bleu = _BLEUScore()
>>> bleu(preds, target)
tensor(0.7598)
Quick recipe
import torchmetrics as _m
score = _m.BLEUScore(y_true, y_pred)
Don'ts
- Don't reimplement when the library version handles edge cases (NaN, ties, empty inputs) better than a hand-rolled formula.
- Always check the library version's argument order — sklearn is
(y_true, y_pred)while torchmetrics is(preds, target).