public void descale_train(training_data data) { fanndoublePINVOKE.neural_net_descale_train(swigCPtr, training_data.getCPtr(data)); if (fanndoublePINVOKE.SWIGPendingException.Pending) throw fanndoublePINVOKE.SWIGPendingException.Retrieve(); }