2 writes to PruningLossIndex
Microsoft.ML.FastTree (2)
GamClassification.cs (1)
168
PruningLossIndex
= GamTrainerOptions.UnbalancedSets ? 3 /*Unbalanced sets loss*/ : 1 /*normal loss*/;
GamRegression.cs (1)
121
PruningLossIndex
= 0;
3 references to PruningLossIndex
Microsoft.ML.FastTree (3)
GamClassification.cs (1)
169
PruningTest = new TestHistory(validTest,
PruningLossIndex
);
GamRegression.cs (1)
122
PruningTest = new TestHistory(validTest,
PruningLossIndex
);
GamTrainer.cs (1)
430
var finalResult = PruningTest.ComputeTests().ToArray()[
PruningLossIndex
];