:py:mod:`causal_testing.surrogate.surrogate_search_algorithms`
==============================================================

.. py:module:: causal_testing.surrogate.surrogate_search_algorithms

.. autoapi-nested-parse::

   Module containing implementation of search algorithm for surrogate search



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

Classes
~~~~~~~

.. autoapisummary::

   causal_testing.surrogate.surrogate_search_algorithms.GeneticSearchAlgorithm




.. py:class:: GeneticSearchAlgorithm(delta=0.05, config: dict = None)


   Bases: :py:obj:`causal_testing.surrogate.causal_surrogate_assisted.SearchAlgorithm`

   Implementation of SearchAlgorithm class. Implements genetic search algorithm for surrogate models.

   .. py:method:: search(surrogate_models: list[causal_testing.estimation.cubic_spline_estimator.CubicSplineRegressionEstimator], scenario: causal_testing.specification.scenario.Scenario) -> list

      Function which implements a search routine which searches for the optimal fitness value for the specified
      scenario
      :param surrogate_models: The surrogate models to be searched
      :param scenario:  The modelling scenario


   .. py:method:: create_gene_types(surrogate_model: causal_testing.estimation.cubic_spline_estimator.CubicSplineRegressionEstimator, scenario: causal_testing.specification.scenario.Scenario) -> tuple[list, list]
      :staticmethod:

      Generate the gene_types and gene_space for a given fitness function and scenario
      :param surrogate_model: Instance of a CubicSplineRegressionEstimator
      :param scenario: The modelling scenario