Changeset 13368 for branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions
- Timestamp:
- 11/24/15 17:08:13 (9 years ago)
- Location:
- branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions
- Files:
-
- 5 edited
Legend:
- Unmodified
- Added
- Removed
-
branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/AbsoluteErrorLoss.cs
r12875 r13368 1 #region License Information1 #region License Information 2 2 /* HeuristicLab 3 3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL) … … 29 29 namespace HeuristicLab.Algorithms.DataAnalysis { 30 30 // loss function for the weighted absolute error 31 [StorableClass ]31 [StorableClass("CDF5C3F1-0577-48FD-BA73-050231ADB015")] 32 32 [Item("Absolute error loss", "")] 33 33 public sealed class AbsoluteErrorLoss : Item, ILossFunction { -
branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/LogisticRegressionLoss.cs
r12875 r13368 1 #region License Information1 #region License Information 2 2 /* HeuristicLab 3 3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL) … … 31 31 namespace HeuristicLab.Algorithms.DataAnalysis { 32 32 // Greedy Function Approximation: A Gradient Boosting Machine (page 9) 33 [StorableClass ]33 [StorableClass("89E2D6B3-2BDE-4FF2-98B5-236F4C3B3F69")] 34 34 [Item("Logistic regression loss", "")] 35 35 public sealed class LogisticRegressionLoss : Item, ILossFunction { -
branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/QuantileRegressionLoss.cs
r13026 r13368 1 #region License Information1 #region License Information 2 2 /* HeuristicLab 3 3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL) … … 32 32 // loss function for quantile regression 33 33 // Generalized Boosted Models - A Guide To The gbm Package, Greg Ridgeway, August 2007, page 11 34 [StorableClass ]34 [StorableClass("1D8A2DAE-4A77-4A37-8C03-7980A26B5E8B")] 35 35 [Item("QuantileRegressionloss", "Loss function for quantile regression")] 36 36 public sealed class QuantileRegressionLoss : ParameterizedNamedItem, ILossFunction { -
branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/RelativeErrorLoss.cs
r12875 r13368 1 #region License Information1 #region License Information 2 2 /* HeuristicLab 3 3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL) … … 31 31 namespace HeuristicLab.Algorithms.DataAnalysis { 32 32 // relative error loss is a special case of weighted absolute error loss with weights = (1/target) 33 [StorableClass ]33 [StorableClass("6C2C8370-D504-4CD0-8157-33024C0EC144")] 34 34 [Item("Relative error loss", "")] 35 35 public sealed class RelativeErrorLoss : Item, ILossFunction { -
branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/SquaredErrorLoss.cs
r12875 r13368 1 #region License Information1 #region License Information 2 2 /* HeuristicLab 3 3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL) … … 29 29 30 30 namespace HeuristicLab.Algorithms.DataAnalysis { 31 [StorableClass ]31 [StorableClass("780DF644-DAD4-4A05-8C8D-9807628C72CB")] 32 32 [Item("Squared error loss", "")] 33 33 public sealed class SquaredErrorLoss : Item, ILossFunction {
Note: See TracChangeset
for help on using the changeset viewer.