code: def needs_pred(self):
      return False
  
imports: import json
  from abc import ABCMeta, abstractmethod
  from functools import partial
  import numpy
  import scipy
  import scipy.stats
  import sklearn.metrics
  from ..constants import BINARY, MULTICLASS, QUANTILE, REGRESSION, SOFTCLASS
  from .None import classification_metrics, quantile_metrics
  from .classification_metrics import confusion_matrix
label_desc: Use image node_id 2 for calling the _ThresholdScorer obj's underlying member method code with example usage: obj.needs_pred() and returns: False