id summary reporter owner description type status priority milestone component version resolution keywords cc 2186 Boosting Meta-Algorithm gkronber gkronber "AdaBoost with sampling instead of weighting could be implemented for classification problems. Friedmans ""Stochasic Gradient Boosting"" (1999) could be implemented for regression and classification problems. One important question is where the gradient for our target functions is implemented. In gradient boosting we need to use the correct gradient which is appropriate for the currently selected fitness function. " feature request closed medium HeuristicLab 3.3.x Backlog Algorithms.DataAnalysis 3.3.9 duplicate