HacktoberfestPyDataGlobaldocsenhancementhelp wantedmodule: metricsneeds-discussion
Métricas do repositório
- Stars
- (4.313 stars)
- Métricas de merge de PR
- (Mesclagem média 15d 11h) (17 fundiu PRs em 30d)
Description
🚀 Feature
The idea is to verify the output type for all metrics (output of compute function) and update the docs accordingly.
In general, metric's output should be a float number. In some particular cases, like Recall/Precision with average=False, the output is a torch tensor. So, let's see and decide if the output of compute() method can be :
def compute() -> floatdef compute() -> Union[float, torch.Tensor]and tensor is on CPUdef compute() -> torch.Tensorwith tensor on CPU
To address this FR, we have to make sure for each metric what kind of type it supposes to return and update the docs accordingly.