Greetings,
When I instantiate a FluidMLPRegressor with only one hidden layer
(n = FluidMLPRegressor(s,[3],FluidMLPRegressor.sigmoid,1000,0.01,0.9,1,0);
)
it works great and can successfully solve xor. However, when I try to instantiate one with more than one hidden layer
(r = FluidMLPRegressor(s,[3,3],FluidMLPRegressor.sigmoid,1000,0.01,0.9,1,0);
),
I get this error:
WARNING: FluidMLPRegressor received fewer parameters than expected
Am I providing arguments in correctly?
Thanks!
T