/*************************************************************************
Like MLPCreate2, but for ensembles.
-- ALGLIB --
Copyright 18.02.2009 by Bochkanov Sergey
*************************************************************************/
func MlpeCreate2(nin, nhid1, nhid2, nout, ensemblesize int, ensemble *mlpensemble) error {
net := mlpbase.NewMlp()
if err := mlpbase.MlpCreate2(nin, nhid1, nhid2, nout, net); err != nil {
return err
}
return MlpeCreateFromNetwork(net, ensemblesize, ensemble)
}
/*************************************************************************
Same as MLPCreate0, but with two hidden layers (NHid1 and NHid2 neurons)
with non-linear activation function. Output layer is linear.
$ALL
-- ALGLIB --
Copyright 04.11.2007 by Bochkanov Sergey
*************************************************************************/
func MlpCreate2(nin, nhid1, nhid2, nout int) *MultiLayerPerceptron {
network := NewMlp()
mlpbase.MlpCreate2(nin, nhid1, nhid2, nout, network.innerobj)
return network
}