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: Allows feature columns to be sorted in Python 3 as they are in Python 2.
  
  Feature columns need to occasionally be sortable, for example when used as
  keys in a features dictionary passed to a layer.
  
  `__gt__` is called when the "other" object being compared during the sort
  does not have `__lt__` defined.
  Example:
  ```
  # __lt__ only class
  class A():
    def __lt__(self, other): return str(self) < str(other)
  
  a = A()
  a < "b" # True
  "0" < a # Error
  
  # __lt__ and __gt__ class
  class B():
    def __lt__(self, other): return str(self) < str(other)
    def __gt__(self, other): return str(self) > str(other)
  
  b = B()
  b < "c" # True
  "0" < b # True
  ```
  
  Args:
    other: The other object to compare to.
  
  Returns:
    True if the string representation of this object is lexicographically
    greater than the string representation of `other`. For FeatureColumn
    objects, this looks like "<__main__.FeatureColumn object at 0xa>".
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code: def __gt__(self, other):
      """Allows feature columns to be sorted in Python 3 as they are in Python 2.
  
      Feature columns need to occasionally be sortable, for example when used as
      keys in a features dictionary passed to a layer.
  
      `__gt__` is called when the "other" object being compared during the sort
      does not have `__lt__` defined.
      Example:
      ```
      # __lt__ only class
      class A():
        def __lt__(self, other): return str(self) < str(other)
  
      a = A()
      a < "b" # True
      "0" < a # Error
  
      # __lt__ and __gt__ class
      class B():
        def __lt__(self, other): return str(self) < str(other)
        def __gt__(self, other): return str(self) > str(other)
  
      b = B()
      b < "c" # True
      "0" < b # True
      ```
  
      Args:
        other: The other object to compare to.
  
      Returns:
        True if the string representation of this object is lexicographically
        greater than the string representation of `other`. For FeatureColumn
        objects, this looks like "<__main__.FeatureColumn object at 0xa>".
      """
      return str(self) > str(other)
  
file_path: tensorflow/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 3 for calling the FeatureColumn obj's underlying member method code with example usage: obj.__gt__(other) and returns: unknown