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[SPARK-4583] [mllib] LogLoss for GradientBoostedTrees fix + doc updates
Currently, the LogLoss used by GradientBoostedTrees has 2 issues: * the gradient (and therefore loss) does not match that used by Friedman (1999) * the error computation uses 0/1 accuracy, not log loss This PR updates LogLoss. It also adds some doc for boosting and forests. I tested it on sample data and made sure the log loss is monotonically decreasing with each boosting iteration. CC: mengxr manishamde codedeft Author: Joseph K. Bradley <joseph@databricks.com> Closes #3439 from jkbradley/gbt-loss-fix and squashes the following commits: cfec17e [Joseph K. Bradley] removed forgotten temp comments a27eb6d [Joseph K. Bradley] corrections to last log loss commit ed5da2c [Joseph K. Bradley] updated LogLoss (boosting) for numerical stability 5e52bff [Joseph K. Bradley] * Removed the 1/2 from SquaredError. This also required updating the test suite since it effectively doubles the gradient and loss. * Added doc for developers within RandomForest. * Small cleanup in test suite (generating data only once) e57897a [Joseph K. Bradley] Fixed LogLoss for GradientBoostedTrees, and updated doc for losses, forests, and boosting (cherry picked from commit c251fd7) Signed-off-by: Xiangrui Meng <meng@databricks.com>
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