int adapt_mlnet | (net, etap, alphap, etas, alphas, options, class) |
NET | *net | The NET to be trained. |
double | etap | The learning rate for learning the positions of the kernels. |
double | alphap | The momentum constant for learning the positions of the kernels. |
double | etas | The learning rate for learning the variances of the kernels. |
double | alphas | The momentum constant for learning the variances of the kernels. |
long | options | Flags - see FUNCTION below. |
int | class | The class number of the sample that was used to evaluate the network. This number indicates which part of the network is to be adapted. |
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