small run

TrainerClass.py

@@ -361,7 +361,8 @@ class eNoseTrainer:
             plt.close()
 
     def fit(self):
-        windows = [128, 256, 384]
+        windows = [128,]
+#        windows = [128, 256, 384]
         total_train_queue = 2*int(1/self.ratio)*(len(self.get_model_train())+len(windows))
         self.logger.info("{:=^60}".format(f'Begin Fit {total_train_queue} Models'))
         self.trained = 0