docstr: Removes a metric from experiment.
  
  
  Example
  -------
  >>> from pycaret.datasets import get_data
  >>> boston = get_data('boston')
  >>> from pycaret.regression import *
  >>> exp_name = setup(data = boston,  target = 'mredv')
  >>> remove_metric('MAPE')
  
  
  name_or_id: str
      Display name or ID of the metric.
  
  
  Returns:
      None
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code: def remove_metric(self, name_or_id: str):
      """
      Removes a metric from experiment.
  
  
      Example
      -------
      >>> from pycaret.datasets import get_data
      >>> boston = get_data('boston')
      >>> from pycaret.regression import *
      >>> exp_name = setup(data = boston,  target = 'mredv')
      >>> remove_metric('MAPE')
  
  
      name_or_id: str
          Display name or ID of the metric.
  
  
      Returns:
          None
  
      """
  
      return super().remove_metric(name_or_id=name_or_id)
  
imports: import logging
  import re
  import time
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import numpy
  import pandas
  from joblib.memory import Memory
  from pycaret.containers.metrics.regression import get_all_metric_containers
  from pycaret.containers.models.regression import ALL_ALLOWED_ENGINES, get_all_model_containers, get_container_default_engines
  from pycaret.internal.display import CommonDisplay
  from pycaret.internal.logging import get_logger
  from pycaret.internal.parallel.parallel_backend import ParallelBackend
  from pycaret.internal.pipeline import Pipeline
  from pycaret.internal.preprocess.preprocessor import Preprocessor
  from pycaret.internal.pycaret_experiment.non_ts_supervised_experiment import _NonTSSupervisedExperiment
  from pycaret.loggers.base_logger import BaseLogger
  from pycaret.utils.constants import DATAFRAME_LIKE, SEQUENCE_LIKE, TARGET_LIKE
  from pycaret.utils.generic import MLUsecase, highlight_setup
label_desc: Use image node_id 24 for calling the RegressionExperiment obj's underlying member method code with example usage: obj.remove_metric(name_or_id) and returns: super