/*************************************************************************
Like MLPCreateB0, but for ensembles.
-- ALGLIB --
Copyright 18.02.2009 by Bochkanov Sergey
*************************************************************************/
func MlpeCreateB0(nin, nout int, b, d float64, ensemblesize int, ensemble *mlpensemble) error {
net := mlpbase.NewMlp()
if err := mlpbase.MlpCreateb0(nin, nout, b, d, net); err != nil {
return err
}
return MlpeCreateFromNetwork(net, ensemblesize, ensemble)
}
/*************************************************************************
Creates neural network with NIn inputs, NOut outputs, without hidden
layers with non-linear output layer. Network weights are filled with small
random values.
Activation function of the output layer takes values:
(B, +INF), if D>=0
or
(-INF, B), if D<0.
-- ALGLIB --
Copyright 30.03.2008 by Bochkanov Sergey
*************************************************************************/
func MlpCreateB0(nin, nout int, b, d float64) *MultiLayerPerceptron {
network := NewMlp()
mlpbase.MlpCreateb0(nin, nout, b, d, network.innerobj)
return network
}