The candidate limit is a limit for how much the candidate neuron may be trained. The limit is a limit on the proportion between the MSE and candidate score.
Set this to a lower value to avoid overfitting and to a higher if overfitting is not a problem.
The default candidate limit is 1000.0.
Neural network resource.
The candidate limit, or false on error.