Changeset 14929 for branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees

Timestamp:

05/04/17 19:06:54 (8 years ago)

Author:

gkronber

Message:

#2520 fixed unit tests for new persistence: loading & storing all samples

Location:

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees

Files:

• GradientBoostedTreesAlgorithmStatic.cs (modified) (2 diffs)
• IGradientBoostedTreesModel.cs (modified) (1 diff)
• LossFunctions/ILossFunction.cs (modified) (2 diffs)

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/GradientBoostedTreesAlgorithmStatic.cs

@@ -27 +27 @@
 using HeuristicLab.Problems.DataAnalysis;
 using HeuristicLab.Random;
+using HeuristicLab.Persistence;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
@@ -32 +33 @@
     #region static API
 
+    [StorableType("26b9feb6-93ec-4003-a53a-f852df71c27e")]
     public interface IGbmState {
       IRegressionModel GetModel();

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/IGradientBoostedTreesModel.cs

@@ -30 +30 @@
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
+  [StorableType("16146195-0fbe-4926-b913-21890bcd16ca")]
   public interface IGradientBoostedTreesModel : IRegressionModel {
     IEnumerable<IRegressionModel> Models { get; }

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/ILossFunction.cs

@@ -23 +23 @@
 using System.Collections.Generic;
 using HeuristicLab.Core;
+using HeuristicLab.Persistence;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
@@ -28 +29 @@
   // target represents the target vector  (original targets from the problem data, never changed)
   // pred   represents the current vector of predictions (a weighted combination of models learned so far, this vector is updated after each step)
+  [StorableType("b5737a42-af19-4f7f-b883-72320136db2e")]
   public interface ILossFunction : IItem {
     // returns the loss of the current prediction vector