HacktoberfestPyDataGlobaldocsenhancementhelp wantedmodule: metricsneeds-discussion
仓库指标
- 星标
- (4,313 个星标)
- PR 合并指标
- (平均合并 18天 23小时) (30 天内合并 19 个 PR)
描述
🚀 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.