geneticengine.representations.tree.operators
============================================

.. py:module:: geneticengine.representations.tree.operators


Classes
-------

.. autoapisummary::

   geneticengine.representations.tree.operators.FullInitializer
   geneticengine.representations.tree.operators.GrowInitializer
   geneticengine.representations.tree.operators.PositionIndependentGrowInitializer
   geneticengine.representations.tree.operators.RampedHalfAndHalfInitializer
   geneticengine.representations.tree.operators.InjectInitialPopulationWrapper


Module Contents
---------------

.. py:class:: FullInitializer(max_depth)

   Bases: :py:obj:`geneticengine.algorithms.gp.structure.PopulationInitializer`


   All individuals are created with full trees (maximum depth in all
   branches).


   .. py:attribute:: max_depth


   .. py:method:: initialize(problem, representation, random, target_size, **kwargs)


.. py:class:: GrowInitializer

   Bases: :py:obj:`geneticengine.algorithms.gp.structure.PopulationInitializer`


   All individuals are created expanding productions until a maximum depth,
   but without the requirement of reaching that depth.


   .. py:method:: initialize(problem, representation, random, target_size, max_tries = 1000, **kwargs)


.. py:class:: PositionIndependentGrowInitializer(max_depth)

   Bases: :py:obj:`geneticengine.algorithms.gp.structure.PopulationInitializer`


   All individuals are created expanding productions until a maximum depth,
   but without the requirement of reaching that depth.


   .. py:attribute:: max_depth


   .. py:attribute:: grow


   .. py:attribute:: full


   .. py:method:: initialize(problem, representation, random, target_size, **kwargs)


.. py:class:: RampedHalfAndHalfInitializer(max_depth)

   Bases: :py:obj:`geneticengine.algorithms.gp.structure.PopulationInitializer`


   Half of the individuals are created with the maximum depth, and the
   other half with different values of maximum depth between the minimum and
   the maximum.

   There's an equal chance of using full or grow method.


   .. py:attribute:: max_depth


   .. py:method:: initialize(problem, representation, random, target_size)


.. py:class:: InjectInitialPopulationWrapper(programs, backup)

   Bases: :py:obj:`geneticengine.algorithms.gp.structure.PopulationInitializer`


   Starts with an initial population, and relies on another initializer if
   it's necessary to fulfill the population size.


   .. py:attribute:: programs


   .. py:attribute:: backup_initializer


   .. py:method:: initialize(problem, representation, random, target_size)