class_docstr: Draws a learning curve with training & validation metrics
  over time as the network trains.
class_docstr_tok: ["Draws","a","learning","curve","with","training","&","validation","metrics","over","time","as","the","network","trains","."]
code: def __init__(self, metric_name, display_freq=10, frequent=50):
      self.frequent = frequent
      self.start_time = datetime.datetime.now()
      self._data = {
          "train": {
              "elapsed": [],
          },
          "eval": {
              "elapsed": [],
          },
      }
      super(LiveLearningCurve, self).__init__(
          None, metric_name, display_freq, frequent
      )
  
imports: import time
label_desc: Use image node_id 1 to create a new LiveLearningCurve object from inherited base classes: LiveBokehChart with example: obj = LiveLearningCurve(metric_name, display_freq, frequent)