Documentation references private access functions for TrainingConfig

import org.deeplearning4j.optimize.listeners.ScoreIterationListener;

TrainingConfig config = TrainingConfig.builder()
    .updater(new Adam(1e-3))
    .dataSetFeatureMapping("input")
    .dataSetLabelMapping("labels")
    .lossVariables("loss")
    .trainEvaluations("output", 0, new Accuracy())
    .addListener(new ScoreIterationListener(10))   // print every 10 iterations
    .build();