qhjqhj00 chrfscore
Metric
CHRFScorefromtorchmetrics(torchmetrics.CHRFScore)
When to invoke this skill
The user has predictions + ground truth and asks to evaluate with CHRFScore, or
mentions torchmetrics.CHRFScore directly, or wants the standard torchmetrics implementation.
Reference signature
from torchmetrics import CHRFScore
# _CHRFScore(n_char_order: int = 6, n_word_order: int = 2, beta: float = 2.0, lowercase: bool = False, whitespace: bool = False, return_sentence_level_score: bool = False, **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']]
>>> chrf = _CHRFScore()
>>> chrf(preds, target)
tensor(0.8640)
Quick recipe
import torchmetrics as _m
score = _m.CHRFScore(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).