class_docstr: Base class for configuring :class:`RegressionEvaluation` instances.
  
  Args:
      pred_field: the name of the field containing the predicted
          :class:`fiftyone.core.labels.Regression` instances
      gt_field ("ground_truth"): the name of the field containing the ground
          truth :class:`fiftyone.core.labels.Regression` instances
class_docstr_tok: ["Base","class","for","configuring",":","class",":","`","RegressionEvaluation","`","instances",".","Args",":","pred_field",":","the","name","of","the","field","containing","the","predicted",":","class",":","`","fiftyone.core.labels.Regression","`","instances","gt_field","(","``","ground_truth","''",")",":","the","name","of","the","field","containing","the","ground","truth",":","class",":","`","fiftyone.core.labels.Regression","`","instances"]
code: def type(self):
      return "regression"
  
imports: from copy import deepcopy
  import inspect
  import itertools
  import logging
  import numbers
  import numpy
  import sklearn.metrics
  from tabulate import tabulate
  import eta.core.utils
  import fiftyone
  import fiftyone.core.evaluation
  import fiftyone.core.fields
  import fiftyone.core.labels
  import fiftyone.core.plots
  import fiftyone.core.utils
  import fiftyone.core.validation
label_desc: Use image node_id 2 for calling the RegressionEvaluationConfig obj's underlying member method code with example usage: obj.type() and returns: str