Free cookie consent management tool by TermsFeed Policy Generator

Ignore:
Timestamp:
03/02/16 19:08:44 (9 years ago)
Author:
gkronber
Message:

#1795: added a data analysis algorithm for gradient boosting for regression which uses another regression algorithm as a base learner. Currently, only squared error loss is supported.

File:
1 edited

Legend:

Unmodified
Added
Removed

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/GradientBoostedTreesAlgorithm.cs

    r13238 r13646  
    3535
    3636namespace HeuristicLab.Algorithms.DataAnalysis {
    37   [Item("Gradient Boosted Trees (GBT)", "Gradient boosted trees algorithm. Friedman, J. \"Greedy Function Approximation: A Gradient Boosting Machine\", IMS 1999 Reitz Lecture.")]
     37  [Item("Gradient Boosted Trees (GBT)", "Gradient boosted trees algorithm. Specific implementation of gradient boosting for regression trees. Friedman, J. \"Greedy Function Approximation: A Gradient Boosting Machine\", IMS 1999 Reitz Lecture.")]
    3838  [StorableClass]
    3939  [Creatable(CreatableAttribute.Categories.DataAnalysisRegression, Priority = 125)]
Note: See TracChangeset for help on using the changeset viewer.