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@alpozcan
Description
versions: Python 3.11.4, PyGAD 3.1.0 on Linux x86_64.
pygad.gann module documentation includes an XOR Example.
It works as is. However, as soon as I switch to using 'adaptive' mutation, I get an error:
list indices must be integers or slices, not NoneType
Traceback (most recent call last):
File "/home/a/.local/lib/python3.11/site-packages/pygad/pygad.py", line 2019, in run
self.last_generation_offspring_mutation = self.mutation(self.last_generation_offspring_crossover)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/a/.local/lib/python3.11/site-packages/pygad/utils/mutation.py", line 529, in adaptive_mutation
offspring = self.adaptive_mutation_randomly(offspring)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/a/.local/lib/python3.11/site-packages/pygad/utils/mutation.py", line 676, in adaptive_mutation_randomly
average_fitness, offspring_fitness = self.adaptive_mutation_population_fitness(offspring)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/a/.local/lib/python3.11/site-packages/pygad/utils/mutation.py", line 479, in adaptive_mutation_population_fitness
fitness[idx] = self.fitness_func(self,
^^^^^^^^^^^^^^^^^^^^^^^^
File "/dev/shm/xor.py", line 9, in fitness_func
predictions = pygad.nn.predict(last_layer=GANN_instance.population_networks[sol_idx],
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
TypeError: list indices must be integers or slices, not NoneType
My only modification to the example from the documentation page linked above:
mutation_type='adaptive',
mutation_percent_genes=(100, 50),
Is enough to trigger the error. Same with:
mutation_probability=(.20, .05),
I would appreciate seeing this bug fixed as I would like to use adaptive mutation.
Please let me know if more information is needed.