class_docstr: This suite was built using the checklist process with the self.editor
  suggestions. Users are encouraged to add/modify as they see fit.
  
  Note: `editor.suggest(...)` can be slow as it runs a language model.
class_docstr_tok: ["This","suite","was","built","using","the","checklist","process","with","the","self.editor","suggestions",".","Users","are","encouraged","to","add\/modify","as","they","see","fit",".","Note",":","`","editor.suggest","(","...",")","`","can","be","slow","as","it","runs","a","language","model","."]
docstr: Returns the change in the confidence scores.
docstr_tok: ["Returns","the","change","in","the","confidence","scores","."]
code: def _positive_change(
      self, orig_conf: np.ndarray, conf: np.ndarray
  ) -> float:
      """
      Returns the change in the confidence scores.
      """
      return (
          orig_conf[self._negative]
          - conf[self._negative]
          + conf[self._positive]
          - orig_conf[self._positive]
      )
  
imports: from typing import Optional, Iterable, List, Union, Tuple
  import numpy
  from checklist.test_suite import TestSuite
  from checklist.test_types import MFT, INV, DIR, Expect
  from checklist.perturb import Perturb
  from allennlp.confidence_checks.task_checklists.task_suite import TaskSuite
  from allennlp.confidence_checks.task_checklists import utils
  from allennlp.data.instance import Instance
  from allennlp.predictors import Predictor
label_desc: Use image node_id 12 for calling the SentimentAnalysisSuite obj's underlying member method code with example usage: obj._positive_change(orig_conf, conf) and returns: unknown