1 write to ValidSet
Microsoft.ML.FastTree (1)
FastTree.cs (1)
197
ValidSet
= 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
88
private protected bool HasValidSet =>
ValidSet
!= null;
441
if (
ValidSet
!= null)
442
ch.Trace("Validation {0}", GetDatasetStatistics(
ValidSet
));
829
else if (set ==
ValidSet
)
830
st = OptimizationAlgorithm.GetScoreTracker("valid",
ValidSet
, InitValidScores);
879
if (set ==
ValidSet
)
FastTreeClassification.cs (4)
268
if (
ValidSet
!= null)
270
ValidTest = new BinaryClassificationTest(ConstructScoreTracker(
ValidSet
),
271
GetClassificationLabelsFromRatings(
ValidSet
).ToArray(), _sigmoidParameter);
286
if (FastTreeTrainerOptions.EnablePruning &&
ValidSet
!= null)
FastTreeRanking.cs (5)
257
if (
ValidSet
!= null)
284
if (
ValidSet
!= null)
286
Test test = CreateStandardTest(
ValidSet
);
441
ConstructScoreTracker(
ValidSet
),
442
ValidSet
.Ratings,
FastTreeRegression.cs (4)
214
if (
ValidSet
!= null)
216
validTest = new RegressionTest(ConstructScoreTracker(
ValidSet
));
285
if (
ValidSet
!= null)
286
ValidTest = new RegressionTest(ConstructScoreTracker(
ValidSet
), FastTreeTrainerOptions.EarlyStoppingMetrics);
FastTreeTweedie.cs (4)
220
if (
ValidSet
!= null)
222
validTest = new RegressionTest(ConstructScoreTracker(
ValidSet
));
264
if (
ValidSet
!= null)
265
ValidTest = new RegressionTest(ConstructScoreTracker(
ValidSet
), FastTreeTrainerOptions.EarlyStoppingMetrics);