7 writes to NumberOfIterations
Microsoft.ML.FastTree (1)
GamTrainer.cs (1)
179GamTrainerOptions.NumberOfIterations = numberOfIterations;
Microsoft.ML.IntegrationTests (1)
IntrospectiveTraining.cs (1)
145new GamRegressionTrainer.Options { NumberOfIterations = 100, NumberOfThreads = 1 }));
Microsoft.ML.Samples (3)
Dynamic\Trainers\BinaryClassification\GamWithOptions.cs (1)
45NumberOfIterations = 19000,
Dynamic\Trainers\Regression\GamWithOptions.cs (1)
38NumberOfIterations = 50
Dynamic\Trainers\Regression\GamWithOptionsAdvanced.cs (1)
45NumberOfIterations = 19000,
Microsoft.ML.Tests (2)
TrainerEstimators\TreeEstimators.cs (2)
136NumberOfIterations = 15, 256NumberOfIterations = 15,
7 references to NumberOfIterations
Microsoft.ML.FastTree (7)
GamTrainer.cs (7)
208Host.CheckParam(0 < options.NumberOfIterations, nameof(options.NumberOfIterations), "Must be positive."); 297int iterations = GamTrainerOptions.NumberOfIterations; 426int bestIteration = GamTrainerOptions.NumberOfIterations; 438if (bestIteration != GamTrainerOptions.NumberOfIterations) 439ch.Info($"Best Iteration ({lossFunctionName}): {bestIteration} @ {bestLoss:G6} (vs {GamTrainerOptions.NumberOfIterations} @ {finalResult.FinalValue:G6})."); 595_subGraph = new SubGraph(TrainSet.NumFeatures, GamTrainerOptions.NumberOfIterations);