code: def _get_metrics(self, raise_errors: bool = True) -> dict:
      return get_all_metric_containers(
          self.variables, raise_errors=raise_errors
      )
  
imports: from typing import Any, List, Optional, Tuple, Union
  import numpy
  import pandas
  import pycaret.internal.patches.sklearn
  import pycaret.internal.patches.yellowbrick
  import pycaret.internal.persistence
  import pycaret.internal.preprocess
  from pycaret.containers.metrics.clustering import get_all_metric_containers
  from pycaret.containers.models.clustering import get_all_model_containers
  from pycaret.internal.logging import get_logger
  from pycaret.internal.pycaret_experiment.unsupervised_experiment import _UnsupervisedExperiment
  from pycaret.utils.generic import MLUsecase
label_desc: Use image node_id 3 for calling the ClusteringExperiment obj's underlying member method code with example usage: obj._get_metrics(raise_errors) and returns: get_all_metric_containers