33 lines
937 B
Python
33 lines
937 B
Python
from tensorneat.pipeline import Pipeline
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from tensorneat.algorithm.neat import NEAT
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from tensorneat.genome import RecurrentGenome
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from tensorneat.problem.func_fit import XOR3d
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from tensorneat.common import Act, Agg
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if __name__ == "__main__":
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pipeline = Pipeline(
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algorithm=NEAT(
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pop_size=10000,
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species_size=20,
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survival_threshold=0.01,
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genome=RecurrentGenome(
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num_inputs=3,
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num_outputs=1,
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init_hidden_layers=(),
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output_transform=Act.standard_sigmoid,
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activate_time=10,
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),
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),
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problem=XOR3d(),
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generation_limit=500,
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fitness_target=-1e-6, # float32 precision
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seed=42,
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)
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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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