# Losses: Cutoff MSE

class `losses.``CutoffMSE`(cutoffValue=1)

  Description:

  > Cutoff MSE loss has two steps:

  > 1. Filtering:
  >      Filter the noisy labels out by comparing their noise variances to a threshold. Remove the label if its noise variance is bigger than a threshold, otherwise, use it to compute the loss.
  > 2. MSE loss:
  >      Compute the mse loss using the filtered labels.

  Args:

    threshold: | An upper bound noise variance threshold to filter out the noisy labels.

  `forward`(y_pred, y, lbl_var)
    Description:
      Compute the forward pass.