def run_scoring()

in sourcecode/scoring/run_scoring.py [0:0]

• 33 lines of code
• 1 McCabe index (conditional complexity)

def run_scoring(
  notes: pd.DataFrame,
  ratings: pd.DataFrame,
  noteStatusHistory: pd.DataFrame,
  userEnrollment: pd.DataFrame,
  seed: Optional[int] = None,
  pseudoraters: Optional[bool] = True,
  enabledScorers: Optional[Set[Scorers]] = None,
  strictColumns: bool = True,
  runParallel: bool = True,
  dataLoader: Optional[CommunityNotesDataLoader] = None,
  useStableInitialization: bool = True,
  writePrescoringScoringOutputCallback: Optional[
    Callable[
      [
        pd.DataFrame,
        pd.DataFrame,
        sklearn.pipeline.Pipeline,
        sklearn.pipeline.Pipeline,
        c.PrescoringMetaOutput,
        Optional[pd.DataFrame],
      ],
      None,
    ]
  ] = None,
  cutoffTimestampMillis: Optional[int] = None,
  excludeRatingsAfterANoteGotFirstStatusPlusNHours: Optional[int] = None,
  daysInPastToApplyPostFirstStatusFiltering: Optional[int] = 14,
  filterPrescoringInputToSimulateDelayInHours: Optional[int] = None,
  checkFlips: bool = True,
  previousScoredNotes: Optional[pd.DataFrame] = None,
  previousAuxiliaryNoteInfo: Optional[pd.DataFrame] = None,
  previousRatingCutoffTimestampMillis: Optional[int] = 0,