class_docstr: Class that stores the results of a regression evaluation.
  
  Args:
      samples: the :class:`fiftyone.core.collections.SampleCollection` used
      config: the :class:`RegressionEvaluationConfig` used
      eval_key: the evaluation key
      ytrue: a list of ground truth values
      ypred: a list of predicted values
      confs (None): an optional list of confidences for the predictions
      eval_key (None): the evaluation key of the evaluation
      gt_field (None): the name of the ground truth field
      pred_field (None): the name of the predictions field
      ids (None): a list of sample or frame IDs corresponding to the
          regressions
      missing (None): a missing value. Any None-valued regressions are
          given this value for results purposes
      backend (None): a :class:`RegressionEvaluation` backend
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code: def __init__(
      self,
      samples,
      config,
      eval_key,
      ytrue,
      ypred,
      confs=None,
      ids=None,
      missing=None,
      backend=None,
  ):
      super().__init__(samples, config, eval_key, backend=backend)
  
      ytrue, ypred, confs, ids = _parse_values(
          ytrue, ypred, confs, ids, missing=missing
      )
  
      self.ytrue = ytrue
      self.ypred = ypred
      self.confs = confs
      self.ids = ids
      self.missing = missing
  
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 1 to create a new RegressionResults object from inherited base classes: foe with example: obj = RegressionResults(samples, config, eval_key, ytrue, ypred, confs, ids, missing, backend)