Gradient Boosted Regression (GBR) System

A Gradient Boosted Regression (GBR) System is a gradient boosted learning system that implements a GBR algorithm to solve a GBR task.

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• Example(s):
  • sklearn.ensemble.GradientBoostingRegressor [1]
  • pyspark.mllib.tree.GradientBoostedTrees.GradientBoostedTrees.trainRegressor [2]
• See: Random Forest Regression System.

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