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Timestamp:
10/21/16 17:59:36 (8 years ago)
Author:
gkronber
Message:

#2690: implemented methods to generate symbolic expression tree solutions for decision tree models (random forest and gradient boosted) as well as views which make it possible to inspect each of the individual trees in a GBT and RF solution

File:
1 edited

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  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/Interfaces/IRandomForestModel.cs

    r14185 r14345  
    2020#endregion
    2121
    22 using HeuristicLab.Optimization;
     22using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2323using HeuristicLab.Problems.DataAnalysis;
    24 using HeuristicLab.Core;
    25 using System.Collections.Generic;
     24
    2625
    2726namespace HeuristicLab.Algorithms.DataAnalysis {
     
    3029  /// </summary>
    3130  public interface IRandomForestModel : IConfidenceRegressionModel, IClassificationModel {
     31    int NumberOfTrees { get; }
     32    ISymbolicExpressionTree ExtractTree(int treeIdx); // returns a specific tree from the random forest as a ISymbolicRegressionModel
    3233  }
    3334}
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