/*************************************************************************
Like MLPCreateR2, but for ensembles.
-- ALGLIB --
Copyright 18.02.2009 by Bochkanov Sergey
*************************************************************************/
func MlpeCreateR2(nin, nhid1, nhid2, nout int, a, b float64, ensemblesize int, ensemble *mlpensemble) error {
net := mlpbase.NewMlp()
if err := mlpbase.MlpCreater2(nin, nhid1, nhid2, nout, a, b, net); err != nil {
return err
}
return MlpeCreateFromNetwork(net, ensemblesize, ensemble)
}
/*************************************************************************
Same as MLPCreateR0, but with two non-linear hidden layers.
-- ALGLIB --
Copyright 30.03.2008 by Bochkanov Sergey
*************************************************************************/
func MlpCreateR2(nin, nhid1, nhid2, nout int, a, b float64) *MultiLayerPerceptron {
network := NewMlp()
mlpbase.MlpCreater2(nin, nhid1, nhid2, nout, a, b, network.innerobj)
return network
}