code: def _get_example_weight_feature_column():
      return tf.feature_column.numeric_column(
          _EXAMPLE_WEIGHT_FEATURE, dtype=tf.float32, default_value=1.0
      )
  
imports: import os
  from absl.testing import parameterized
  import tensorflow
  from tensorflow import estimator
  from tensorflow.compat.v1 import estimator
  from google.protobuf import text_format
  from tensorflow_ranking.python import data
  from tensorflow_ranking.python.keras import estimator
  from tensorflow_ranking.python.keras import losses
  from tensorflow_ranking.python.keras import metrics
  from tensorflow_ranking.python.keras import model
  from tensorflow_ranking.python.keras import network
  from tensorflow_serving.apis import input_pb2
label_desc: Use image node_id 2 for calling a global function with example usage: _get_example_weight_feature_column() and returns: tf