add input_transform and update_input_transform;

change the args for genome.forward.
Origin: (state, inputs, transformed)
New: (state, transformed, inputs)

tensorneat/examples/func_fit/xor_kan.py

@@ -16,7 +16,7 @@ if __name__ == "__main__":
                     max_nodes=50,
                     max_conns=100,
                     node_gene=KANNode(),
-                    conn_gene=BSplineConn(),
+                    conn_gene=BSplineConn(grid_cnt=10),
                     output_transform=Act.sigmoid,  # the activation function for output node
                     mutation=DefaultMutation(
                         node_add=0.1,
@@ -25,7 +25,7 @@ if __name__ == "__main__":
                         conn_delete=0.05,
                     ),
                 ),
-                pop_size=1000,
+                pop_size=10000,
                 species_size=20,
                 compatibility_threshold=1.5,
                 survival_threshold=0.01,  # magic
@@ -34,7 +34,7 @@ if __name__ == "__main__":
         # problem=XOR3d(return_data=True),
         problem=XOR3d(),
         generation_limit=10000,
-        fitness_target=-1e-8,
+        fitness_target=-1e-5,
         # update_batch_size=8,
         # pre_update=True,
     )