:py:mod:`ontolearn.fitness_functions`
=====================================

.. py:module:: ontolearn.fitness_functions

.. autoapi-nested-parse::

   Fitness functions.



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

Classes
~~~~~~~

.. autoapisummary::

   ontolearn.fitness_functions.LinearPressureFitness




.. py:class:: LinearPressureFitness(gain: float = 2048.0, penalty: float = 1.0)


   Bases: :py:obj:`ontolearn.abstracts.AbstractFitness`

   Linear parametric parsimony pressure.

   .. py:attribute:: __slots__
      :value: ('gain', 'penalty')

      

   .. py:attribute:: name
      :type: Final
      :value: 'Linear_Pressure_Fitness'

      

   .. py:method:: apply(individual: ontolearn.ea_utils.Tree)

      Apply the fitness function on an individual and set its fitness attribute to the calculated value.

      :param individual: Individual to set the fitness on.