code: def test_estimator_for_feature_set(self):
      model_fn = self.create_model_fn()
      input_fn = self.create_train_feature_set_input_fn()
  
      estimator = TFEstimator.from_model_fn(model_fn)
      estimator.train(input_fn, steps=1)
  
imports: import pytest
  from bigdl.orca.test_zoo_utils import ZooTestCase
  import tensorflow
  from bigdl.dllib.feature.common import ChainedPreprocessing, FeatureSet
  from bigdl.dllib.feature.image import *
  from bigdl.orca.tfpark import TFDataset, TFEstimator
  from bigdl.orca.tfpark import ZooOptimizer
label_desc: Use image node_id 13 for calling the TestTFParkEstimator obj's underlying member method code with example usage: obj.test_estimator_for_feature_set() without return types