Changeset 12696 for branches/GBT-trunkintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/ILossFunction.cs

Timestamp:

07/09/15 16:11:52 (9 years ago)

Author:

gkronber

Message:

#2261: killed all weights

File:

• branches/GBT-trunkintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/ILossFunction.cs (modified) (1 diff)

branches/GBT-trunkintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/ILossFunction.cs

@@ -30 +30 @@
   // 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)
-  // weight represents a weight vector for rows (this is not supported yet -> all weights are 1)
   public interface ILossFunction {
-    // returns the weighted loss of the current prediction vector 
-    double GetLoss(IEnumerable<double> target, IEnumerable<double> pred, IEnumerable<double> weight);
+    // returns the loss of the current prediction vector 
+    double GetLoss(IEnumerable<double> target, IEnumerable<double> pred);
 
-    // returns an enumerable of the weighted loss gradient for each row
-    IEnumerable<double> GetLossGradient(IEnumerable<double> target, IEnumerable<double> pred, IEnumerable<double> weight);
+    // returns an enumerable of the loss gradient for each row
+    IEnumerable<double> GetLossGradient(IEnumerable<double> target, IEnumerable<double> pred);
 
     // returns a function that returns the optimal prediction value for a subset of rows from target and pred (see LineSearchFunc delegate above)
-    LineSearchFunc GetLineSearchFunc(IEnumerable<double> target, IEnumerable<double> pred, IEnumerable<double> weight);
+    LineSearchFunc GetLineSearchFunc(IEnumerable<double> target, IEnumerable<double> pred);
   }
 }