class_docstr: Represents a feature column abstraction.
  
  WARNING: Do not subclass this layer unless you know what you are doing:
  the API is subject to future changes.
  
  To distinguish between the concept of a feature family and a specific binary
  feature within a family, we refer to a feature family like "country" as a
  feature column. For example, we can have a feature in a `tf.Example` format:
    {key: "country",  value: [ "US" ]}
  In this example the value of feature is "US" and "country" refers to the
  column of the feature.
  
  This class is an abstract class. Users should not create instances of this.
docstr: Uses the `state_manager` to create state for the FeatureColumn.
  
  Args:
    state_manager: A `StateManager` to create / access resources such as
      lookup tables and variables.
docstr_tok: ["Uses","the","`","state_manager","`","to","create","state","for","the","FeatureColumn",".","Args",":","state_manager",":","A","`","StateManager","`","to","create","\/","access","resources","such","as","lookup","tables","and","variables","."]
code: def create_state(self, state_manager):
      """Uses the `state_manager` to create state for the FeatureColumn.
  
      Args:
        state_manager: A `StateManager` to create / access resources such as
          lookup tables and variables.
      """
      pass
  
file_path: tensorflow-upstream/tensorflow/python/feature_column/feature_column_v2_types.py
imports: import abc
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 6 for calling the FeatureColumn obj's underlying member method code with example usage: obj.create_state(state_manager) without return types