code: def evaluate(self, x_test, y_test, **kwargs):
      from pyspark.sql import SparkSession
  
      sc = SparkSession.builder.getOrCreate().sparkContext
      test_rdd = to_simple_rdd(sc, x_test, y_test)
      return self._evaluate(test_rdd, **kwargs)
  
imports: import json
  from functools import partial
  from itertools import tee
  from typing import Union
  import h5py
  import numpy
  import pyspark
  from pyspark import RDD
  from tensorflow.keras.models import load_model
  from tensorflow.keras.models import model_from_json
  from tensorflow.keras.optimizers import get
  from tensorflow.keras.optimizers import serialize, deserialize
  from .mllib import to_matrix, from_matrix, to_vector, from_vector
  from .parameter.factory import ClientServerFactory
  from .utils import lp_to_simple_rdd, to_simple_rdd
  from .utils import model_to_dict
  from .utils import subtract_params, divide_by
  from .worker import AsynchronousSparkWorker, SparkWorker
label_desc: Use image node_id 10 for calling the SparkModel obj's underlying member method code with example usage: obj.evaluate(x_test, y_test) and returns: self