public static <I, O> PredictorTrainer<I, O> constant(O outputValue) {
    return new WrapperTrainer<I, O>(Predictors.<I, O>constant(outputValue));
  }
public static < I , O > PredictorTrainer < I , O > constant ( O outputValue ) { return new WrapperTrainer < I , O > ( Predictors . < I , O > constant ( outputValue ) ) ; }
Gets a {@code PredictorTrainer} which returns a predictor that puts all of
its probability mass on {@code outputValue}. This predictor is returned
regardless of the training data given to the trainer.

@param outputValue
@return