1 write to ValidSet
Microsoft.ML.FastTree (1)
FastTree.cs (1)
197ValidSet = instanceConverter.GetCompatibleDataset(ValidData, PredictionKind, CategoricalFeatures, FastTreeTrainerOptions.CategoricalSplit);
24 references to ValidSet
Microsoft.ML.FastTree (24)
FastTree.cs (7)
72/// In the training process, <see cref="TrainSet"/>, <see cref="ValidSet"/>, <see cref="TestSets"/> would be 88private protected bool HasValidSet => ValidSet != null; 441if (ValidSet != null) 442ch.Trace("Validation {0}", GetDatasetStatistics(ValidSet)); 829else if (set == ValidSet) 830st = OptimizationAlgorithm.GetScoreTracker("valid", ValidSet, InitValidScores); 879if (set == ValidSet)
FastTreeClassification.cs (4)
268if (ValidSet != null) 270ValidTest = new BinaryClassificationTest(ConstructScoreTracker(ValidSet), 271GetClassificationLabelsFromRatings(ValidSet).ToArray(), _sigmoidParameter); 286if (FastTreeTrainerOptions.EnablePruning && ValidSet != null)
FastTreeRanking.cs (5)
257if (ValidSet != null) 284if (ValidSet != null) 286Test test = CreateStandardTest(ValidSet); 441ConstructScoreTracker(ValidSet), 442ValidSet.Ratings,
FastTreeRegression.cs (4)
214if (ValidSet != null) 216validTest = new RegressionTest(ConstructScoreTracker(ValidSet)); 285if (ValidSet != null) 286ValidTest = new RegressionTest(ConstructScoreTracker(ValidSet), FastTreeTrainerOptions.EarlyStoppingMetrics);
FastTreeTweedie.cs (4)
220if (ValidSet != null) 222validTest = new RegressionTest(ConstructScoreTracker(ValidSet)); 264if (ValidSet != null) 265ValidTest = new RegressionTest(ConstructScoreTracker(ValidSet), FastTreeTrainerOptions.EarlyStoppingMetrics);