      """ Class to pull raw data for given session(s) and perform calculations """
      def __init__(self, session, display="loss", loss_keys=["loss"], selections=["raw"],
                   avg_samples=10, flatten_outliers=False, is_totals=False):
          logger.debug("Initializing %s: (session: %s, display: %s, loss_keys: %s, selections: %s, "
                       "avg_samples: %s, flatten_outliers: %s, is_totals: %s",
                       self.__class__.__name__, session, display, loss_keys, selections, avg_samples,
                       flatten_outliers, is_totals)
  
          warnings.simplefilter("ignore", np.RankWarning)
  
 
</s> remove                  avg_samples=10, flatten_outliers=False, is_totals=False):
 </s> add                  avg_samples=500, smooth_amount=0.90, flatten_outliers=False, is_totals=False): </s> remove                      flatten_outliers, is_totals)
 </s> add                      smooth_amount, flatten_outliers, is_totals) </s> remove                                 selections=["raw", "trend"])
 </s> add                                 selections=["raw", "smoothed"],
                                smooth_amount=get_config().tk_vars["smoothgraph"].get()) </s> remove             to raw
 </s> add             to smoothed
                     "avg_samples: %s, smooth_amount: %s, flatten_outliers: %s, is_totals: %s",
      """ Class to pull raw data for given session(s) and perform calculations """
      def __init__(self, session, display="loss", loss_keys=["loss"], selections=["raw"],
                   avg_samples=10, flatten_outliers=False, is_totals=False):
          logger.debug("Initializing %s: (session: %s, display: %s, loss_keys: %s, selections: %s, "
                     "avg_samples: %s, smooth_amount: %s, flatten_outliers: %s, is_totals: %s",
                       self.__class__.__name__, session, display, loss_keys, selections, avg_samples,
                       flatten_outliers, is_totals)
  
          warnings.simplefilter("ignore", np.RankWarning)
  
keep keep keep keep replace 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/stats.py