class_docstr: Class for configuring :class:`SimpleEvaluation` instances.
  
  Args:
      pred_field: the name of the field containing the predicted
          :class:`fiftyone.core.labels.Segmentation` instances
      gt_field: the name of the field containing the ground truth
          :class:`fiftyone.core.labels.Segmentation` instances
      compute_dice (False): whether to compute the Dice coefficient for each
          sample
      bandwidth (None): an optional bandwidth along the contours of the
          ground truth masks to which to restrict attention when computing
          accuracies. A typical value for this parameter is 5 pixels. By
          default, the entire masks are evaluated
      average ("micro"): the averaging strategy to use when populating
          precision and recall numbers on each sample
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code: def method(self):
      return "simple"
  
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 2 for calling the SimpleEvaluationConfig obj's underlying member method code with example usage: obj.method() and returns: str