tony/tensorneat-mend
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fix bugs

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root
2024-07-12 02:25:57 +08:00
parent 3194678a15
commit 5fc63fdaf1
28 changed files with 351 additions and 142 deletions
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8
examples/func_fit/custom_func_fit.py
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@@ -4,7 +4,7 @@ from tensorneat.pipeline import Pipeline
from tensorneat.algorithm.neat import NEAT
from tensorneat.genome import DefaultGenome, DefaultNode, DefaultMutation, BiasNode
from tensorneat.problem.func_fit import CustomFuncFit
from tensorneat.common import Act, Agg
from tensorneat.common import ACT, AGG
def pagie_polynomial(inputs):
@@ -35,10 +35,10 @@ if __name__ == "__main__":
num_outputs=1,
init_hidden_layers=(),
node_gene=BiasNode(
activation_options=[Act.identity, Act.inv, Act.square],
aggregation_options=[Agg.sum, Agg.product],
activation_options=[ACT.identity, ACT.inv, ACT.square],
aggregation_options=[AGG.sum, AGG.product],
),
output_transform=Act.identity,
output_transform=ACT.identity,
),
),
problem=custom_problem,

4
examples/func_fit/xor.py
View File

@@ -2,7 +2,7 @@ from tensorneat.pipeline import Pipeline
from tensorneat.algorithm.neat import NEAT
from tensorneat.genome import DefaultGenome
from tensorneat.problem.func_fit import XOR3d
from tensorneat.common import Act
from tensorneat.common import ACT
if __name__ == "__main__":
pipeline = Pipeline(
@@ -14,7 +14,7 @@ if __name__ == "__main__":
num_inputs=3,
num_outputs=1,
init_hidden_layers=(),
output_transform=Act.standard_sigmoid,
output_transform=ACT.standard_sigmoid,
),
),
problem=XOR3d(),

8
examples/func_fit/xor_hyperneat.py
View File

@@ -2,7 +2,7 @@ from tensorneat.pipeline import Pipeline
from tensorneat.algorithm.neat import NEAT
from tensorneat.algorithm.hyperneat import HyperNEAT, FullSubstrate
from tensorneat.genome import DefaultGenome
from tensorneat.common import Act
from tensorneat.common import ACT
from tensorneat.problem.func_fit import XOR3d
@@ -22,12 +22,12 @@ if __name__ == "__main__":
num_inputs=4, # size of query coors
num_outputs=1,
init_hidden_layers=(),
output_transform=Act.standard_tanh,
output_transform=ACT.standard_tanh,
),
),
activation=Act.tanh,
activation=ACT.tanh,
activate_time=10,
output_transform=Act.standard_sigmoid,
output_transform=ACT.standard_sigmoid,
),
problem=XOR3d(),
generation_limit=300,

4
examples/func_fit/xor_recurrent.py
View File

@@ -2,7 +2,7 @@ from tensorneat.pipeline import Pipeline
from tensorneat.algorithm.neat import NEAT
from tensorneat.genome import RecurrentGenome
from tensorneat.problem.func_fit import XOR3d
from tensorneat.common import Act, Agg
from tensorneat.common import ACT, AGG
if __name__ == "__main__":
pipeline = Pipeline(
@@ -14,7 +14,7 @@ if __name__ == "__main__":
num_inputs=3,
num_outputs=1,
init_hidden_layers=(),
output_transform=Act.standard_sigmoid,
output_transform=ACT.standard_sigmoid,
activate_time=10,
),
),