/*************************************************************************
Like MLPCreateB1, but for ensembles.
-- ALGLIB --
Copyright 18.02.2009 by Bochkanov Sergey
*************************************************************************/
func MlpeCreateB1(nin, nhid, nout int, b, d float64, ensemblesize int, ensemble *mlpensemble) error {
net := mlpbase.NewMlp()
if err := mlpbase.MlpCreateb1(nin, nhid, nout, b, d, net); err != nil {
return err
}
return MlpeCreateFromNetwork(net, ensemblesize, ensemble)
}
/*************************************************************************
Same as MLPCreateB0 but with non-linear hidden layer.
-- ALGLIB --
Copyright 30.03.2008 by Bochkanov Sergey
*************************************************************************/
func MlpCreateB1(nin, nhid, nout int, b, d float64) *MultiLayerPerceptron {
network := NewMlp()
mlpbase.MlpCreateb1(nin, nhid, nout, b, d, network.innerobj)
return network
}