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Commit 8ef24c1

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Update release 3.0.0 notes
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‎docs/source/Footer.rst

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@@ -1198,84 +1198,74 @@ PyGAD 3.0.0
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Release Date 8 April 2023
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1. The structure of the library is changed and some methods defined in
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the ``pygad.py`` module are moved to the ``pygad.utils``,
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``pygad.helper``, and ``pygad.visualize`` submodules.
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1. The structure of the library is changed and some methods defined in
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the ``pygad.py`` module are moved to the ``pygad.utils``,
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``pygad.helper``, and ``pygad.visualize`` submodules.
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2. The ``pygad.utils.parent_selection`` module has a class named
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``ParentSelection`` where all the parent selection operators exist.
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The ``pygad.GA`` class extends this class.
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2. The ``pygad.utils.parent_selection`` module has a class named
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``ParentSelection`` where all the parent selection operators exist.
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The ``pygad.GA`` class extends this class.
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3. The ``pygad.utils.crossover`` module has a class named ``Crossover``
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where all the crossover operators exist. The ``pygad.GA`` class
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extends this class.
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3. The ``pygad.utils.crossover`` module has a class named ``Crossover``
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where all the crossover operators exist. The ``pygad.GA`` class
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extends this class.
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4. The ``pygad.utils.mutation`` module has a class named ``Mutation``
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where all the mutation operators exist. The ``pygad.GA`` class
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extends this class.
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4. The ``pygad.utils.mutation`` module has a class named ``Mutation``
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where all the mutation operators exist. The ``pygad.GA`` class
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extends this class.
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5. The ``pygad.helper.unique`` module has a class named ``Unique`` some
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helper methods exist to solve duplicate genes and make sure every
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gene is unique. The ``pygad.GA`` class extends this class.
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5. The ``pygad.helper.unique`` module has a class named ``Unique`` some
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helper methods exist to solve duplicate genes and make sure every
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gene is unique. The ``pygad.GA`` class extends this class.
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6. The ``pygad.visualize.plot`` module has a class named ``Plot`` where
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all the methods that create plots exist. The ``pygad.GA`` class
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extends this class.
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6. The ``pygad.visualize.plot`` module has a class named ``Plot`` where
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all the methods that create plots exist. The ``pygad.GA`` class
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extends this class.
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.. code:: python
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...
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class GA(utils.parent_selection.ParentSelection,
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utils.crossover.Crossover,
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utils.mutation.Mutation,
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helper.unique.Unique,
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visualize.plot.Plot):
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...
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1. Support of using the ``logging`` module to log the outputs to both
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7. Support of using the ``logging`` module to log the outputs to both
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the console and text file instead of using the ``print()`` function.
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This is by assigning the ``logging.Logger`` to the new ``logger``
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parameter. Check the `Logging
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Outputs <https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html#logging-outputs>`__
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for more information.
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2. A new instance attribute called ``logger`` to save the logger.
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8. A new instance attribute called ``logger`` to save the logger.
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3. The function/method passed to the ``fitness_func`` parameter accepts
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9. The function/method passed to the ``fitness_func`` parameter accepts
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a new parameter that refers to the instance of the ``pygad.GA``
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class. Check this for an example: `Use Functions and Methods to
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Build Fitness Function and
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Callbacks <https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html#use-functions-and-methods-to-build-fitness-and-callbacks>`__.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/163
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4. Update the documentation to include an example of using functions
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10. Update the documentation to include an example of using functions
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and methods to calculate the fitness and build callbacks. Check this
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for more details: `Use Functions and Methods to Build Fitness
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Function and
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Callbacks <https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html#use-functions-and-methods-to-build-fitness-and-callbacks>`__.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/pull/92#issuecomment-1443635003
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5. Validate the value passed to the ``initial_population`` parameter.
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11. Validate the value passed to the ``initial_population`` parameter.
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6. Validate the type and length of the ``pop_fitness`` parameter of the
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12. Validate the type and length of the ``pop_fitness`` parameter of the
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``best_solution()`` method.
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7. Some edits in the documentation.
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13. Some edits in the documentation.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/106
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8. Fix an issue when building the initial population as (some) genes
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14. Fix an issue when building the initial population as (some) genes
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have their value taken from the mutation range (defined by the
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parameters ``random_mutation_min_val`` and
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``random_mutation_max_val``) instead of using the parameters
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``init_range_low`` and ``init_range_high``.
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9. The ``summary()`` method returns the summary as a single-line
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15. The ``summary()`` method returns the summary as a single-line
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string. Just log/print the returned string it to see it properly.
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10. The ``callback_generation`` parameter is removed. Use the
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16. The ``callback_generation`` parameter is removed. Use the
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``on_generation`` parameter instead.
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11. There was an issue when using the ``parallel_processing`` parameter
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17. There was an issue when using the ``parallel_processing`` parameter
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with Keras and PyTorch. As Keras/PyTorch are not thread-safe, the
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``predict()`` method gives incorrect and weird results when more
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than 1 thread is used.
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`StackOverflow
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answer <https://stackoverflow.com/a/75606666/5426539>`__.
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12. Replace ``numpy.float`` by ``float`` in the 2 parent selection
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18. Replace ``numpy.float`` by ``float`` in the 2 parent selection
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operators roulette wheel and stochastic universal.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/pull/168
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