Fix typo

anago/callbacks.py

@@ -8,14 +8,14 @@
 from seqeval.metrics import f1_score
 
 
-def get_callbacks(log_dir=None, valid=(), checkpoint_dir=None, eary_stopping=True):
+def get_callbacks(log_dir=None, valid=(), checkpoint_dir=None, early_stopping=True):
     """Get callbacks.
 
     Args:
         log_dir (str): the destination to save logs(for TensorBoard).
         valid (tuple): data for validation.
         checkpoint_dir (bool): Whether to use checkpoint.
-        eary_stopping (bool): whether to use early stopping.
+        early_stopping (bool): whether to use early stopping.
 
     Returns:
         list: list of callbacks
@@ -41,7 +41,7 @@ def get_callbacks(log_dir=None, valid=(), checkpoint_dir=None, eary_stopping=Tru
                                         monitor='f1', save_weights_only=True)
         callbacks.append(save_callback)
 
-    if eary_stopping:
+    if early_stopping:
         callbacks.append(EarlyStopping(monitor='f1', patience=3, mode='max'))
 
     return callbacks

anago/trainer.py

@@ -1,7 +1,6 @@
 """
 Model Trainer.
 """
-
 from anago.utils import batch_iter
 from anago.callbacks import get_callbacks
 
@@ -37,7 +36,7 @@ def train(self, x_train, y_train, x_valid=None, y_valid=None):
         # Prepare callbacks
         callbacks = get_callbacks(log_dir=self._log_dir,
                                   checkpoint_dir=self._checkpoint_path,
-                                  eary_stopping=self._early_stopping,
+                                  early_stopping=self._early_stopping,
                                   valid=(valid_steps, valid_batches, self._inverse_transform))
 
         # Train the model