class_docstr: The results from multiple TFMA runs, or a TFMA run on multiple models.
code: def get_results(self) -> List[EvalResult]:
      return self._results
  
imports: import copy
  from typing import Any, Dict, List, Sequence, NamedTuple, Optional, Union
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.proto import metrics_for_slice_pb2
  from tensorflow_model_analysis.slicer import slicer_lib
label_desc: Use image node_id 2 for calling the EvalResults obj's underlying member method code with example usage: obj.get_results() and returns: self