scSLAT.metrics.hit_k

scSLAT.metrics.hit_k(features, ground_truth, k=10)[source]

Calculate first and top k-th hit ratio of matching

Parameters:

features (typing.List[torch.Tensor]) – features of embed
ground_truth (torch.Tensor) – in shape of (2, n_node)
k (typing.Optional[int]) – top k

Return type:

pandas.core.frame.DataFrame