edfb0596e7
change the args for genome.forward. Origin: (state, inputs, transformed) New: (state, transformed, inputs)
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
from pipeline import Pipeline
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from algorithm.neat import *
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from algorithm.neat.gene.node.kan_node import KANNode
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from algorithm.neat.gene.conn.bspline import BSplineConn
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from problem.func_fit import XOR3d
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from utils import Act
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if __name__ == "__main__":
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pipeline = Pipeline(
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algorithm=NEAT(
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species=DefaultSpecies(
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genome=DefaultGenome(
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num_inputs=3,
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num_outputs=1,
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max_nodes=50,
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max_conns=100,
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node_gene=KANNode(),
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conn_gene=BSplineConn(grid_cnt=10),
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output_transform=Act.sigmoid, # the activation function for output node
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mutation=DefaultMutation(
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node_add=0.1,
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conn_add=0.1,
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node_delete=0.05,
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conn_delete=0.05,
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),
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),
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pop_size=10000,
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species_size=20,
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compatibility_threshold=1.5,
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survival_threshold=0.01, # magic
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),
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),
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# problem=XOR3d(return_data=True),
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problem=XOR3d(),
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generation_limit=10000,
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fitness_target=-1e-5,
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# update_batch_size=8,
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# pre_update=True,
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)
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# initialize state
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state = pipeline.setup()
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# print(state)
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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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