Errorrelativeglobaldimensionlesssynthesis

errorrelativeglobaldimensionlesssynthesis

Metric ErrorRelativeGlobalDimensionlessSynthesis from torchmetrics (torchmetrics.ErrorRelativeGlobalDimensionlessSynthesis)

When to invoke this skill

The user has predictions + ground truth and asks to evaluate with ErrorRelativeGlobalDimensionlessSynthesis, or mentions torchmetrics.ErrorRelativeGlobalDimensionlessSynthesis directly, or wants the standard torchmetrics implementation.

Reference signature

from torchmetrics import ErrorRelativeGlobalDimensionlessSynthesis

# _ErrorRelativeGlobalDimensionlessSynthesis(ratio: float = 4, reduction: Literal['elementwise_mean', 'sum', 'none', None] = 'elementwise_mean', **kwargs: Any) -> None

Library docstring

Wrapper for deprecated import.

>>> from torch import rand
>>> preds = rand([16, 1, 16, 16])
>>> target = preds * 0.75
>>> ergas = _ErrorRelativeGlobalDimensionlessSynthesis()
>>> ergas(preds, target).round()
tensor(10.)

Quick recipe

import torchmetrics as _m
score = _m.ErrorRelativeGlobalDimensionlessSynthesis(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).