class_docstr: Poutyne is a keras-like api framework for pytorch
docstr: Args:
      **kwargs: keyword arguments that will be passed to PlotLosses constructor
docstr_tok: ["Args",":","*","*","kwargs",":","keyword","arguments","that","will","be","passed","to","PlotLosses","constructor"]
code: def __init__(self, **kwargs):
      """
      Args:
          **kwargs: keyword arguments that will be passed to PlotLosses constructor
      """
      super(PlotLossesCallback, self).__init__()
      self.liveplot = PlotLosses(**kwargs)
      self.metrics = None
  
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 1 to create a new PlotLossesCallback object from inherited base classes: Callback with example: obj = PlotLossesCallback()