original_docstring: 
          Spawn a process to learn.
  
          This is used for Ionosphere to learn if anomalous metrics remain
          anomalous over time, as the resolution decreases.  It follows the
          multiprocessing methodology the was introduced in Analyzer and Mirage
          in the context of the process objects being cleared down and the learn
          processes cannot create memory leaks as the process always terminates or
          is terminated this prevents any memory leaks in the parent.
  
          
docstring: Spawn a process to learn.
  This is used for Ionosphere to learn if anomalous metrics remain
  anomalous over time, as the resolution decreases.  It follows the
  multiprocessing methodology the was introduced in Analyzer and Mirage
  in the context of the process objects being cleared down and the learn
  processes cannot create memory leaks as the process always terminates or
  is terminated this prevents any memory leaks in the parent.
docstring_tokens: Spawn a process to learn . This is used for Ionosphere to learn if anomalous metrics remain anomalous over time as the resolution decreases . It follows the multiprocessing methodology the was introduced in Analyzer and Mirage in the context of the process objects being cleared down and the learn processes cannot create memory leaks as the process always terminates or is terminated this prevents any memory leaks in the parent .
code: def spawn_learn_process(self, i, timestamp):
          """
          Spawn a process to learn.
  
          This is used for Ionosphere to learn if anomalous metrics remain
          anomalous over time, as the resolution decreases.  It follows the
          multiprocessing methodology the was introduced in Analyzer and Mirage
          in the context of the process objects being cleared down and the learn
          processes cannot create memory leaks as the process always terminates or
          is terminated this prevents any memory leaks in the parent.
  
          """
          # @modified 20170117 - Feature #1854: Ionosphere learn - generations
          # Renamed the function from simple learn to the meme it has become
          # learn(timestamp)
          ionosphere_learn(timestamp)
code_tokens: def spawn_learn_process ( self , i , timestamp ) : ionosphere_learn ( timestamp )
short_docstring: Spawn a process to learn.
short_docstring_tokens: Spawn a process to learn .
comment: """
          Spawn a process to learn.
  
          This is used for Ionosphere to learn if anomalous metrics remain
          anomalous over time, as the resolution decreases.  It follows the
          multiprocessing methodology the was introduced in Analyzer and Mirage
          in the context of the process objects being cleared down and the learn
          processes cannot create memory leaks as the process always terminates or
          is terminated this prevents any memory leaks in the parent.
  
          """$SEP$# @modified 20170117 - Feature #1854: Ionosphere learn - generations$SEP$# Renamed the function from simple learn to the meme it has become$SEP$# learn(timestamp)