parameters: (jdata: Dict[str, Any])
docstring: convert decay_rate to stop_lr.
      
      Parameters
      ----------
      jdata: Dict[str, Any]
          input data
docstring_summary: convert decay_rate to stop_lr.
      
      Parameters
      ----------
      jdata: Dict[str, Any]
          input data
docstring_tokens: convert decay_rate to stop_lr . Parameters ---------- jdata : Dict [ str Any ] input data
function: def remove_decay_rate(jdata: Dict[str, Any]):
      """convert decay_rate to stop_lr.
      
      Parameters
      ----------
      jdata: Dict[str, Any]
          input data
      """
      lr = jdata["learning_rate"]
      if "decay_rate" in lr:
          decay_rate = lr["decay_rate"]
          start_lr = lr["start_lr"]
          stop_step = jdata["training"]["stop_batch"]
          decay_steps = lr["decay_steps"]
          stop_lr = np.exp(np.log(decay_rate) * (stop_step / decay_steps)) * start_lr
          lr["stop_lr"] = stop_lr
          lr.pop("decay_rate")
function_tokens: def remove_decay_rate ( jdata : Dict [ str , Any ] ) : lr = jdata [ "learning_rate" ] if "decay_rate" in lr : decay_rate = lr [ "decay_rate" ] start_lr = lr [ "start_lr" ] stop_step = jdata [ "training" ] [ "stop_batch" ] decay_steps = lr [ "decay_steps" ] stop_lr = np . exp ( np . log ( decay_rate ) * ( stop_step / decay_steps ) ) * start_lr lr [ "stop_lr" ] = stop_lr lr . pop ( "decay_rate" )