class_docstr: A default model selection implementation.
  
  .. versionadded:: 1.1.0
code: def _verify_metrics(metrics, required):
      metric_names = set([metric.name for metric in metrics])
      for required_metric_name in required:
          if required_metric_name not in metric_names:
              raise ValueError(
                  f'Required metric "{required_metric_name}" is not within the '
                  f"list of given metrics."
              )
  
imports: import numpy
  from abc import ABC
  from small_text.training.metrics import Metric
label_desc: Use image node_id 2 for calling the ModelSelection obj's underlying member method code with example usage: obj._verify_metrics(metrics, required) without return types