Changeset 14711 for branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions
- Timestamp:
- 03/03/17 11:41:43 (8 years ago)
- Location:
- branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions
- Files:
-
- 5 edited
-
AbsoluteErrorLoss.cs (modified) (1 diff)
-
LogisticRegressionLoss.cs (modified) (1 diff)
-
QuantileRegressionLoss.cs (modified) (1 diff)
-
RelativeErrorLoss.cs (modified) (1 diff)
-
SquaredErrorLoss.cs (modified) (1 diff)
Legend:
- Unmodified
- Added
- Removed
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branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/AbsoluteErrorLoss.cs
r13368 r14711 29 29 namespace HeuristicLab.Algorithms.DataAnalysis { 30 30 // loss function for the weighted absolute error 31 [Storable Class("CDF5C3F1-0577-48FD-BA73-050231ADB015")]31 [StorableType("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
r13368 r14711 31 31 namespace HeuristicLab.Algorithms.DataAnalysis { 32 32 // Greedy Function Approximation: A Gradient Boosting Machine (page 9) 33 [Storable Class("89E2D6B3-2BDE-4FF2-98B5-236F4C3B3F69")]33 [StorableType("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
r13368 r14711 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 [Storable Class("1D8A2DAE-4A77-4A37-8C03-7980A26B5E8B")]34 [StorableType("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
r13368 r14711 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 [Storable Class("6C2C8370-D504-4CD0-8157-33024C0EC144")]33 [StorableType("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
r13368 r14711 29 29 30 30 namespace HeuristicLab.Algorithms.DataAnalysis { 31 [Storable Class("780DF644-DAD4-4A05-8C8D-9807628C72CB")]31 [StorableType("780DF644-DAD4-4A05-8C8D-9807628C72CB")] 32 32 [Item("Squared error loss", "")] 33 33 public sealed class SquaredErrorLoss : Item, ILossFunction {
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