Developer Guide

Contents

Gradient Boosted Trees

The library provides gradient boosted trees classification and regression algorithms based on an ensemble of regression (decision) trees trained using stochastic gradient boosting technique.
Regression tree
is a binary tree graph. Its internal (split) nodes represent a
decision function
used to select following (child) node at prediction stage. Its leaf (terminal) nodes represent the corresponding response values which are the result of prediction from the tree. For more details, see Decision Tree [Breiman84]
For more information on the concepts behind the algorithm, see "Details" section.
For more information on the algorithm's parameters for a specific computation mode and examples of its usage, see "Batch Processing", "Online Processing" and "Distributed Processing" sections.

Product and Performance Information

1

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