code: def predict_with_uncertainty(self, x, n_iter=100):
      if not self.model_built:
          raise RuntimeError(
              "You must call fit_eval or restore first before calling predict!"
          )
      check_tf_version()
      f = K.function(
          [self.model.layers[0].input, K.learning_phase()],
          [self.model.layers[-1].output],
      )
      result = np.array([f((x, 1))[0] for _ in range(n_iter)])
  
      prediction = result.mean(axis=0)
      uncertainty = result.var(axis=0)
      return prediction, uncertainty
  
imports: from zoo.orca.automl.model.abstract import BaseModel, ModelBuilder
  import numpy
  from zoo.orca.automl.metrics import Evaluator
  import pickle
  import tensorflow
  from tensorflow.keras import backend
label_desc: Use image node_id 6 for calling the KerasBaseModel obj's underlying member method code with example usage: obj.predict_with_uncertainty(x, n_iter) and returns: prediction,  uncertainty