public float test_data(training_data data)
{
float ret = fanndoublePINVOKE.neural_net_test_data(swigCPtr, training_data.getCPtr(data));
if (fanndoublePINVOKE.SWIGPendingException.Pending) throw fanndoublePINVOKE.SWIGPendingException.Retrieve();
return ret;
}