34 lines
893 B
Python
34 lines
893 B
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 NormalGene, NormalGeneConfig
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from problem.func_fit import XOR, FuncFitConfig
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if __name__ == '__main__':
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# running config
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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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pop_size=10000
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),
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neat=NeatConfig(
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inputs=2,
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outputs=1
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),
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gene=NormalGeneConfig(),
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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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# define algorithm: NEAT with NormalGene
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algorithm = NEAT(config, NormalGene)
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# full pipeline
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pipeline = Pipeline(config, algorithm, XOR)
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# initialize state
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state = pipeline.setup()
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# run until terminate
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state, best = pipeline.auto_run(state)
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# show result
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pipeline.show(state, best)
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