                                  selections=["raw", "smoothed"],
                                  smooth_amount=get_config().tk_vars["smoothgraph"].get())
              self.add_child(tabname, data)
  
      def add_child(self, name, data):
          """ Add the graph for the selected keys """
          logger.debug("Adding child: %s", name)
          graph = TrainingGraph(self.subnotebook, data, "Loss")
          graph.build()
 
</s> remove                                 selections=["raw", "trend"])
 </s> add                                 selections=["raw", "smoothed"],
                                smooth_amount=get_config().tk_vars["smoothgraph"].get())
    def smooth_amount_callback(self, *args):
        """ Update each graph's smooth amount on variable change """
        smooth_amount = get_config().tk_vars["smoothgraph"].get()
        logger.debug("Updating graph smooth_amount: (new_value: %s, args: %s)",
                     smooth_amount, args)
        for graph in self.subnotebook.children.values():
            graph.calcs.args["smooth_amount"] = smooth_amount

                                  selections=["raw", "smoothed"],
                                  smooth_amount=get_config().tk_vars["smoothgraph"].get())
              self.add_child(tabname, data)
  
    def smooth_amount_callback(self, *args):
        """ Update each graph's smooth amount on variable change """
        smooth_amount = get_config().tk_vars["smoothgraph"].get()
        logger.debug("Updating graph smooth_amount: (new_value: %s, args: %s)",
                     smooth_amount, args)
        for graph in self.subnotebook.children.values():
            graph.calcs.args["smooth_amount"] = smooth_amount

      def add_child(self, name, data):
          """ Add the graph for the selected keys """
          logger.debug("Adding child: %s", name)
          graph = TrainingGraph(self.subnotebook, data, "Loss")
          graph.build()
keep keep keep add keep keep keep keep keep
 Graphing Updates

Add smoothing to Analysis and Training Graph
Replace Trend with Smoothing on Training Graph
Add Smoothing Parameter to Training Graph 
lib/gui/display_command.py