Files
tensorneat-mend/tensorneat/examples/func_fit/xor.py
wls2002 dfc8f9198e add repr for genome and gene;
add ipynb test for testing whether add node or add conn will not change the output for the network.
2024-06-09 22:32:29 +08:00

51 lines
1.6 KiB
Python

from pipeline import Pipeline
from algorithm.neat import *
from problem.func_fit import XOR3d
from utils import ACT_ALL, AGG_ALL, Act, Agg
if __name__ == "__main__":
pipeline = Pipeline(
algorithm=NEAT(
species=DefaultSpecies(
genome=DefaultGenome(
num_inputs=3,
num_outputs=1,
max_nodes=50,
max_conns=100,
node_gene=DefaultNodeGene(
activation_default=Act.tanh,
# activation_options=(Act.tanh,),
activation_options=ACT_ALL,
aggregation_default=Agg.sum,
# aggregation_options=(Agg.sum,),
aggregation_options=AGG_ALL,
),
output_transform=Act.sigmoid, # the activation function for output node
mutation=DefaultMutation(
node_add=0.1,
conn_add=0.1,
node_delete=0,
conn_delete=0,
),
),
pop_size=100000,
species_size=20,
compatibility_threshold=2,
survival_threshold=0.01, # magic
),
),
problem=XOR3d(),
generation_limit=10000,
fitness_target=-1e-8,
)
# initialize state
state = pipeline.setup()
# print(state)
# run until terminate
state, best = pipeline.auto_run(state)
# show result
pipeline.show(state, best)
pipeline.save(state=state)