public class MixedGradient extends Object implements Gradient
Provides a stochastic mixture of ranking updates and normal logistic updates. This uses a combination of AUC driven learning to improve ranking performance and traditional log-loss driven learning to improve log-likelihood.
See www.eecs.tufts.edu/~dsculley/papers/combined-ranking-and-regression.pdf
This implementation only makes sense for the binomial case.
Constructor and Description |
---|
MixedGradient(double alpha,
int window) |
Copyright © 2008–2015 The Apache Software Foundation. All rights reserved.