45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
from tensorneat.common import State, StatefulBaseClass
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class BaseAlgorithm(StatefulBaseClass):
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def ask(self, state: State):
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"""require the population to be evaluated"""
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raise NotImplementedError
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def tell(self, state: State, fitness):
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"""update the state of the algorithm"""
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raise NotImplementedError
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def transform(self, state, individual):
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"""transform the genome into a neural network"""
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raise NotImplementedError
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def restore(self, state, transformed):
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raise NotImplementedError
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def forward(self, state, transformed, inputs):
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raise NotImplementedError
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def update_by_batch(self, state, batch_input, transformed):
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raise NotImplementedError
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@property
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def num_inputs(self):
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raise NotImplementedError
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@property
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def num_outputs(self):
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raise NotImplementedError
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@property
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def pop_size(self):
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raise NotImplementedError
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def member_count(self, state: State):
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# to analysis the species
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raise NotImplementedError
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def generation(self, state: State):
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# to analysis the algorithm
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raise NotImplementedError
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