41 lines
1.0 KiB
Python
41 lines
1.0 KiB
Python
from config import *
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from pipeline import Pipeline
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from algorithm import NEAT
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from algorithm.neat.gene import RecurrentGene, RecurrentGeneConfig
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from problem.func_fit import XOR3d, FuncFitConfig
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if __name__ == '__main__':
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config = Config(
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basic=BasicConfig(
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seed=42,
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fitness_target=-1e-2,
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generation_limit=300,
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pop_size=1000
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),
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neat=NeatConfig(
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network_type="recurrent",
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max_nodes=50,
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max_conns=100,
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max_species=30,
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conn_add=0.5,
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conn_delete=0.5,
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node_add=0.4,
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node_delete=0.4,
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inputs=3,
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outputs=1
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),
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gene=RecurrentGeneConfig(
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activate_times=10
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),
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problem=FuncFitConfig(
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error_method='rmse'
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)
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)
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algorithm = NEAT(config, RecurrentGene)
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pipeline = Pipeline(config, algorithm, XOR3d)
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state = pipeline.setup()
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state, best = pipeline.auto_run(state)
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pipeline.show(state, best)
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