Loading deepchem/models/losses.py +5 −1 Original line number Diff line number Diff line Loading @@ -42,7 +42,11 @@ class L1Loss(Loss): class HuberLoss(Loss): """Modified version of L1 Loss, also known as Smooth L1 loss. Less sensitive to small errors, linear for larger errors.""" """Modified version of L1 Loss, also known as Smooth L1 loss. Less sensitive to small errors, linear for larger errors. Huber loss is generally better for cases where are are both large outliers as well as small, as compared to the L1 loss. By default, Delta = 1.0 and reduction = 'none'. """ def _compute_tf_loss(self, output, labels): import tensorflow as tf Loading Loading
deepchem/models/losses.py +5 −1 Original line number Diff line number Diff line Loading @@ -42,7 +42,11 @@ class L1Loss(Loss): class HuberLoss(Loss): """Modified version of L1 Loss, also known as Smooth L1 loss. Less sensitive to small errors, linear for larger errors.""" """Modified version of L1 Loss, also known as Smooth L1 loss. Less sensitive to small errors, linear for larger errors. Huber loss is generally better for cases where are are both large outliers as well as small, as compared to the L1 loss. By default, Delta = 1.0 and reduction = 'none'. """ def _compute_tf_loss(self, output, labels): import tensorflow as tf Loading
