quanda.utils.functions.correlations module

Correlation functions.

quanda.utils.functions.correlations.kendall_rank_corr(tensor1, tensor2)

Calculate torchmetrics kendall_corrcoef function.

The difference is that the input tensors are transposed before passing to the function.

Parameters:

• tensor1 (torch.Tensor) – The input tensors to compute the correlation coefficient.

• tensor2 (torch.Tensor) – The input tensors to compute the correlation coefficient.

Returns:

The Kendall Rank correlation coefficient between the two tensors.

Return type:

torch.Tensor

quanda.utils.functions.correlations.spearman_rank_corr(tensor1, tensor2)

Calculate torchmetrics spearman_corrcoef function.

The difference is that the input tensors are transposed before passing to the function.

Parameters:

• tensor1 (torch.Tensor) – The input tensors to compute the correlation coefficient.

• tensor2 (torch.Tensor) – The input tensors to compute the correlation coefficient.

Returns:

The Spearman correlation coefficient between the two tensors.

Return type:

torch.Tensor