Changeset 13646


Ignore:
Timestamp:
03/02/16 19:08:44 (5 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.

Location:
trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4
Files:
2 added
2 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)]
  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/HeuristicLab.Algorithms.DataAnalysis-3.4.csproj

    r13645 r13646  
    203203    <Compile Include="GaussianProcess\GaussianProcessRegressionSolution.cs" />
    204204    <Compile Include="GaussianProcess\ICovarianceFunction.cs" />
     205    <Compile Include="GBM\GradientBoostingRegressionAlgorithm.cs" />
    205206    <Compile Include="GradientBoostedTrees\IGradientBoostedTreesModel.cs" />
    206207    <Compile Include="GradientBoostedTrees\GradientBoostedTreesModelSurrogate.cs" />
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