minor typo fixes

pygod/detector/gadnr.py

@@ -45,7 +45,7 @@ class GADNR(DeepDetector):
         neighborhood distribution reconstruction. Default: ``3``.
     neigh_loss : str, optional
         The neighbor reconstruction loss. ``KL`` represents the KL divergence
-        loss, ``W2`` represents the W2 loss. Defualt: ``KL``.
+        loss, ``W2`` represents the W2 loss. Default: ``KL``.
     lambda_loss1 : float, optional
         The weight of the neighborhood reconstruction loss term.
         Default: ``1e-2``.
@@ -320,7 +320,7 @@ def fit(self,
 
         self.model.train()
         self.decision_score_ = torch.zeros(data.x.shape[0])
-        for epoch in range(self.epoch):
+        for epoch in range(1, self.epoch+1, 1):
             start_time = time.time()
             epoch_loss = 0
             epoch_loss_per_node = torch.zeros(data.x.shape[0]) 
@@ -413,7 +413,8 @@ def decision_function(self,
         The three loss term weights must be the same as the fit function if
         ``real_loss`` is ``False``.
         """
-        if self.full_batch: # full batch inference 
+
+        if self.full_batch: # full batch inference
             if self.batch_size != data.x.shape[0]:
                 raise ValueError(data, 'should have the same number of nodes '
                                        'as the training data under the full '