/*************************************************************************
Like MLPCreate1, but for ensembles.
-- ALGLIB --
Copyright 18.02.2009 by Bochkanov Sergey
*************************************************************************/
func MlpeCreate1(nin, nhid, nout, ensemblesize int, ensemble *mlpensemble) error {
net := mlpbase.NewMlp()
if err := mlpbase.MlpCreate1(nin, nhid, nout, net); err != nil {
return err
}
return MlpeCreateFromNetwork(net, ensemblesize, ensemble)
}
/*************************************************************************
Same as MLPCreate0, but with one hidden layer (NHid neurons) with
non-linear activation function. Output layer is linear.
-- ALGLIB --
Copyright 04.11.2007 by Bochkanov Sergey
*************************************************************************/
func MlpCreate1(nin, nhid, nout int) *MultiLayerPerceptron {
network := NewMlp()
mlpbase.MlpCreate1(nin, nhid, nout, network.innerobj)
return network
}