qhjqhj00 wordinfolost
Metric
WordInfoLostfromtorchmetrics(torchmetrics.WordInfoLost)
When to invoke this skill
The user has predictions + ground truth and asks to evaluate with WordInfoLost, or
mentions torchmetrics.WordInfoLost directly, or wants the standard torchmetrics implementation.
Reference signature
from torchmetrics import WordInfoLost
# _WordInfoLost(**kwargs: Any) -> None
Library docstring
Wrapper for deprecated import.
>>> preds = ["this is the prediction", "there is an other sample"]
>>> target = ["this is the reference", "there is another one"]
>>> wil = _WordInfoLost()
>>> wil(preds, target)
tensor(0.6528)
Quick recipe
import torchmetrics as _m
score = _m.WordInfoLost(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).