Documentation. Precision — PyTorch-Metrics 1.3.0.post0 documentation
from torchmetrics import Precision
from torchmetrics.classification import BinaryPrecision
preds = torch.tensor([0, 0, 0, 0])
target = torch.tensor([0, 0, 0, 0])
general_precision = Precision(num_classes=2)
bin_precision = BinaryPrecision()
# both should be same?
general_precision(preds, target)
# (tensor(1.)
bin_precision(preds, target)
# tensor(0.))
From equation, and from preds and target, as there are now True Positive, the numerator becomes 0 and so the answer should be 0. But in general precision, how does it calcuate this?
[ Same goes to (F1Score - BinaryF1Score, BinaryRecall, Recall). ]