class_docstr: Base class for segmentation evaluation methods.
  
  Args:
      config: a :class:`SegmentationEvaluationConfig`
class_docstr_tok: ["Base","class","for","segmentation","evaluation","methods",".","Args",":","config",":","a",":","class",":","`","SegmentationEvaluationConfig","`"]
code: def _validate_run(self, samples, eval_key, existing_info):
      self._validate_fields_match(eval_key, "pred_field", existing_info)
      self._validate_fields_match(eval_key, "gt_field", existing_info)
  
imports: from copy import deepcopy
  import logging
  import inspect
  import warnings
  import numpy
  import sklearn.metrics
  import eta.core.image
  import eta.core.utils
  import fiftyone
  import fiftyone.core.evaluation
  import fiftyone.core.fields
  import fiftyone.core.labels
  import fiftyone.core.utils
  import fiftyone.core.validation
  from .base import BaseEvaluationResults
label_desc: Use image node_id 6 for calling the SegmentationEvaluation obj's underlying member method code with example usage: obj._validate_run(samples, eval_key, existing_info) without return types