class_docstr: The leaderBoard that can be used to store / sort the model performance automatically.
  
  Parameters
  ----------
  fields: list of `str`
      A list of field name that shows the model performance. The first field is used as
      the major field for sorting the model performances.
  
  is_higher_better: `dict` of *field* -> `bool`
      A mapping of indicator that whether each field is higher better.
class_docstr_tok: ["The","leaderBoard","that","can","be","used","to","store","\/","sort","the","model","performance","automatically",".","Parameters","--","--","--","--","--","fields",":","list","of","`","str","`","A","list","of","field","name","that","shows","the","model","performance",".","The","first","field","is","used","as","the","major","field","for","sorting","the","model","performances",".","is_higher_better",":","`","dict","`","of","*","field","*","-",">","`","bool","`","A","mapping","of","indicator","that","whether","each","field","is","higher","better","."]
docstr: Remove the record of given models.
  
  Parameters
  ----------
  name: `str`
      The model name/identifier that needed to be removed.
  
  Returns
  -------
  None
docstr_tok: ["Remove","the","record","of","given","models",".","Parameters","--","--","--","--","--","name",":","`","str","`","The","model","name\/identifier","that","needed","to","be","removed",".","Returns","--","--","--","-","None"]
code: def remove_model_performance(self, name) -> None:
      """
      Remove the record of given models.
  
      Parameters
      ----------
      name: `str`
          The model name/identifier that needed to be removed.
  
      Returns
      -------
      None
      """
      if name not in self.perform_dict["name"]:
          LOGGER.warning(
              "no model detected in current leaderboard, will ignore removing action."
          )
          return
      index = self.perform_dict["name"][
          self.perform_dict["name"] == name
      ].index
      self.perform_dict.drop(
          self.perform_dict.index[index], inplace=True
      )
      return
  
imports: import random
  import typing
  import torch
  import torch.backends.cudnn
  import numpy
  import pandas
  from ..backend import DependentBackend
  from ..data import Dataset
  from ..data.graph import GeneralStaticGraph
  from ..utils import get_logger
label_desc: Use image node_id 4 for calling the LeaderBoard obj's underlying member method code with example usage: obj.remove_model_performance(name) without return types