Fix MultiAEMessage constructor (#780)

- Set default values in MultiAEMessage constructor
- Fix keyword constructor arg in DFPTraining

Fixes #779

Authors:
  - Eli Fajardo (https://github.com/efajardo-nv)
  - David Gardner (https://github.com/dagardner-nv)

Approvers:
  - David Gardner (https://github.com/dagardner-nv)
  - Michael Demoret (https://github.com/mdemoret-nv)

URL: #780

examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_training.py

@@ -96,7 +96,7 @@ def on_data(self, message: MultiDFPMessage):
         model.fit(train_df, epochs=self._epochs, val=validation_df, run_validation=run_validation)
         logger.debug("Training AE model for user: '%s'... Complete.", user_id)
 
-        output_message = MultiAEMessage(message.meta,
+        output_message = MultiAEMessage(meta=message.meta,
                                         mess_offset=message.mess_offset,
                                         mess_count=message.mess_count,
                                         model=model)

morpheus/messages/multi_ae_message.py

@@ -30,18 +30,17 @@ class MultiAEMessage(MultiMessage):
     """
 
     model: AutoEncoder
-    # train_loss_scores: cp.ndarray
-    train_scores_mean: float = 0.0
-    train_scores_std: float = 1.0
+    train_scores_mean: float
+    train_scores_std: float
 
     def __init__(self,
                  *,
                  meta: MessageMeta,
                  mess_offset: int = 0,
                  mess_count: int = -1,
                  model: AutoEncoder,
-                 train_scores_mean: float,
-                 train_scores_std: float):
+                 train_scores_mean: float = 0.0,
+                 train_scores_std: float = 1.0):
         super().__init__(meta=meta, mess_offset=mess_offset, mess_count=mess_count)
 
         self.model = model