5bd6e5c357
add flatten_conns as an inverse function for unflatten_conns; add "test_flatten.ipynb" as test for them.
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
from utils import State
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class BaseGene:
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"Base class for node genes or connection genes."
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fixed_attrs = []
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custom_attrs = []
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def __init__(self):
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pass
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def setup(self, state=State()):
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return state
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def new_custom_attrs(self, state):
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# the attrs which make the least influence on the network, used in add node or add conn in mutation
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raise NotImplementedError
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def new_random_attrs(self, state, randkey):
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# random attributes of the gene. used in initialization.
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raise NotImplementedError
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def mutate(self, state, randkey, gene):
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raise NotImplementedError
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def crossover(self, state, randkey, gene1, gene2):
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raise NotImplementedError
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def distance(self, state, gene1, gene2):
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raise NotImplementedError
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def forward(self, state, attrs, inputs):
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raise NotImplementedError
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def update_by_batch(self, state, attrs, batch_inputs):
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raise NotImplementedError
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@property
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def length(self):
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return len(self.fixed_attrs) + len(self.custom_attrs)
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