[Major] SmoothL1Loss update beta from 1.0 to 0.3 (#1461)

* replace false mentions of Huber loss

* set SmoothL1Loss beta to 0.1

* increase beta to 0.3

* reset beta to 1.0

* set beta to 0.3

neuralprophet/configure.py

@@ -119,7 +119,7 @@ def set_loss_func(self):
         if isinstance(self.loss_func, str):
             if self.loss_func.lower() in ["smoothl1", "smoothl1loss", "huber"]:
                 # keeping 'huber' for backwards compatiblility, though not identical
-                self.loss_func = torch.nn.SmoothL1Loss(reduction="none", beta=1.0)
+                self.loss_func = torch.nn.SmoothL1Loss(reduction="none", beta=0.3)
             elif self.loss_func.lower() in ["mae", "maeloss", "l1", "l1loss"]:
                 self.loss_func = torch.nn.L1Loss(reduction="none")
             elif self.loss_func.lower() in ["mse", "mseloss", "l2", "l2loss"]: