class_docstr: The Session Recommender model used for recommendation.
  
  # Arguments
   item_ount: The number of distinct items. Positive integer.
   item_embed: The output size of embedding layer. Positive integer.
   rnn_hidden_layers: Units of hidden layers for the mlp model. Array of positive integers.
   session_length: The max number of items in the sequence of a session
   include_history: Whether to include purchase history. Boolean. Default is true.
   mlp_hidden_layers: Units of hidden layers for the mlp model. Array of positive integers.
   history_length: The max number of items in the sequence of historical purchase
   
code: def predict_user_item_pair(self, feature_rdd):
      raise Exception(
          "predict_user_item_pair: Unsupported for SessionRecommender"
      )
  
file_path: analytics-zoo/pyzoo/zoo/models/recommendation/session_recommender.py
imports: import sys
  from zoo.models.common import KerasZooModel
  from zoo.models.recommendation import Recommender
  from zoo.pipeline.api.keras.layers import *
  from zoo.pipeline.api.keras.models import *
  from zoo.common.utils import callZooFunc
label_desc: Use image node_id 5 for calling the SessionRecommender obj's underlying member method code with example usage: obj.predict_user_item_pair(feature_rdd) without return types