Stochastic gradient boosting

A java implementation of the stochastic gradient boosting method

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Last Update: 2015-02-07

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Stochastic gradient boosting method using trees is flexible without sacrificing fitting performance in general. The method can be applied to either categorical data or quantitative data. The current Java implementation uses the L2 norm loss function, which is suitable for the general regression task.

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2012-10-15

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Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.

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