code: def init_scoring_methods(self) -> Dict[str, ScoringMethod]:
      methods: Dict[str, ScoringMethod] = {}
      if not self.conf.get("epistemic_model"):
          return methods
  
      for n, b in self.epistemic_models.items():
          # Create BundleInferTask task with dropout instantiation for scoring inference
          i = BundleInferTask(
              b,
              self.conf,
              train_mode=True,
              skip_writer=True,
              dropout=self.epistemic_dropout,
              post_filter=[SaveImaged, Invertd],
          )
          methods[n] = EpistemicScoring(
              i,
              max_samples=self.epistemic_max_samples,
              simulation_size=self.epistemic_simulation_size,
          )
          if not methods:
              continue
          methods = (
              methods if isinstance(methods, dict) else {n: methods[n]}
          )
          logger.info(f"+++ Adding Scoring Method:: {n} => {b}")
  
      logger.info(
          f"Active Learning Scoring Methods:: {list(methods.keys())}"
      )
      return methods
  
imports: import logging
  import os
  from typing import Dict
  from monai.transforms import Invertd, SaveImaged
  import monailabel
  from monailabel.interfaces.app import MONAILabelApp
  from monailabel.interfaces.tasks.infer_v2 import InferTask
  from monailabel.interfaces.tasks.scoring import ScoringMethod
  from monailabel.interfaces.tasks.strategy import Strategy
  from monailabel.interfaces.tasks.train import TrainTask
  from monailabel.tasks.activelearning.first import First
  from monailabel.tasks.activelearning.random import Random
  from monailabel.tasks.infer.bundle import BundleInferTask
  from monailabel.tasks.scoring.epistemic_v2 import EpistemicScoring
  from monailabel.tasks.train.bundle import BundleTrainTask
  from monailabel.utils.others.generic import get_bundle_models, strtobool
label_desc: Use image node_id 5 for calling the MyApp obj's underlying member method code with example usage: obj.init_scoring_methods() and returns: methods, methods