/*************************************************************************
Like MLPCreateC0, but for ensembles.
-- ALGLIB --
Copyright 18.02.2009 by Bochkanov Sergey
*************************************************************************/
func MlpeCreateC0(nin, nout, ensemblesize int, ensemble *mlpensemble) error {
net := mlpbase.NewMlp()
if err := mlpbase.MlpCreatec0(nin, nout, net); err != nil {
return err
}
return MlpeCreateFromNetwork(net, ensemblesize, ensemble)
}
/*************************************************************************
Creates classifier network with NIn inputs and NOut possible classes.
Network contains no hidden layers and linear output layer with SOFTMAX-
normalization (so outputs sums up to 1.0 and converge to posterior
probabilities).
-- ALGLIB --
Copyright 04.11.2007 by Bochkanov Sergey
*************************************************************************/
func MlpCreateC0(nin, nout int) *MultiLayerPerceptron {
network := NewMlp()
mlpbase.MlpCreatec0(nin, nout, network.innerobj)
return network
}