class_docstr: Poutyne is a keras-like api framework for pytorch
docstr: Send metrics to livelossplot
  Args:
      epoch: epoch number
      logs: metrics with values
docstr_tok: ["Send","metrics","to","livelossplot","Args",":","epoch",":","epoch","number","logs",":","metrics","with","values"]
code: def on_epoch_end(self, epoch: int, logs: Dict[str, float]):
      """Send metrics to livelossplot
      Args:
          epoch: epoch number
          logs: metrics with values
      """
      metric_logs = {
          metric: logs[metric]
          for metric in self.metrics
          if metric in logs
      }
      self.liveplot.update(metric_logs, epoch)
      self.liveplot.send()
  
file_path: livelossplot/livelossplot/inputs/poutyne.py
imports: from typing import Dict
  from poutyne.framework import Callback
  from ..plot_losses import PlotLosses
label_desc: Use image node_id 3 for calling the PlotLossesCallback obj's underlying member method code with example usage: obj.on_epoch_end(epoch, logs) without return types