public bool set_input_scaling_params(training_data data, float new_input_min, float new_input_max)
{
bool ret = fanndoublePINVOKE.neural_net_set_input_scaling_params(swigCPtr, training_data.getCPtr(data), new_input_min, new_input_max);
if (fanndoublePINVOKE.SWIGPendingException.Pending) throw fanndoublePINVOKE.SWIGPendingException.Retrieve();
return ret;
}