code: def _predict_proba(self, dataset_iter, logits_transform):
      raise NotImplementedError(
          "_predict_proba() needs to be implemented"
      )
  
imports: import logging
  import warnings
  from abc import abstractmethod
  from functools import partial
  from pathlib import Path
  from small_text.classifiers.classification import Classifier
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  from small_text.training.early_stopping import EarlyStopping, NoopEarlyStopping, EarlyStoppingOrCondition
  from small_text.training.metrics import Metric
  from small_text.training.model_selection import ModelSelection, NoopModelSelection
  from small_text.utils.classification import empty_result, prediction_result
label_desc: Use image node_id 5 for calling the PytorchClassifier obj's underlying member method code with example usage: obj._predict_proba(dataset_iter, logits_transform) without return types