parameters: (self, scope=None, every_n=100, first_n=1)
docstring: Initializes LoggingTrainable monitor.
  
      Args:
        scope: An optional string to match variable names using re.match.
        every_n: Print every N steps.
        first_n: Print first N steps.
docstring_summary: Initializes LoggingTrainable monitor.
docstring_tokens: Initializes LoggingTrainable monitor .
function: def __init__(self, scope=None, every_n=100, first_n=1):
      """Initializes LoggingTrainable monitor.
  
      Args:
        scope: An optional string to match variable names using re.match.
        every_n: Print every N steps.
        first_n: Print first N steps.
      """
      super(LoggingTrainable, self).__init__(every_n, first_n)
      self._scope = scope
function_tokens: def __init__ ( self , scope = None , every_n = 100 , first_n = 1 ) : super ( LoggingTrainable , self ) . __init__ ( every_n , first_n ) self . _scope = scope