22 references to Options
Microsoft.ML.AutoML (2)
SweepableEstimator\Estimators\FastTree.cs (2)
13
var option = new FastTreeBinaryTrainer.
Options
()
82
var option = new FastTreeBinaryTrainer.
Options
()
Microsoft.ML.Core.Tests (2)
UnitTests\TestEntryPoints.cs (2)
2175
var ftInput = new FastTreeBinaryTrainer.
Options
4458
var fastTree = Trainers.FastTree.FastTree.TrainBinary(Env, new FastTreeBinaryTrainer.
Options
Microsoft.ML.IntegrationTests (2)
IntrospectiveTraining.cs (1)
84
new FastTreeBinaryTrainer.
Options
{ NumberOfLeaves = 5, NumberOfTrees = 3, NumberOfThreads = 1 }));
Training.cs (1)
49
new FastTreeBinaryTrainer.
Options
{ NumberOfThreads = 1 });
Microsoft.ML.Predictor.Tests (3)
TestPredictors.cs (3)
632
fastTrees[i] = FastTree.TrainBinary(ML, new FastTreeBinaryTrainer.
Options
654
fastTrees[i] = FastTree.TrainBinary(ML, new FastTreeBinaryTrainer.
Options
761
FastTree.TrainBinary(ML, new FastTreeBinaryTrainer.
Options
Microsoft.ML.Samples (3)
Dynamic\Trainers\BinaryClassification\FastTreeWithOptions.cs (1)
31
var options = new FastTreeBinaryTrainer.
Options
Dynamic\Transforms\TreeFeaturization\FastTreeBinaryFeaturizationWithOptions.cs (1)
46
var trainerOptions = new FastTreeBinaryTrainer.
Options
Dynamic\Transforms\TreeFeaturization\PretrainedTreeEnsembleFeaturizationWithOptions.cs (1)
39
new FastTreeBinaryTrainer.
Options
Microsoft.ML.Tests (10)
CalibratedModelParametersTests.cs (1)
73
new FastTreeBinaryTrainer.
Options
{ NumberOfThreads = 1 }).Fit(data);
Scenarios\OvaTest.cs (1)
107
mlContext.BinaryClassification.Trainers.FastTree(new FastTreeBinaryTrainer.
Options
{ NumberOfThreads = 1 }),
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (6)
26
new FastTreeBinaryTrainer.
Options
133
new FastTreeBinaryTrainer.
Options
240
new FastTreeBinaryTrainer.
Options
308
new FastTreeBinaryTrainer.
Options
357
var trainerOptions = new FastTreeBinaryTrainer.
Options
716
var trainerOptions = new FastTreeBinaryTrainer.
Options
TrainerEstimators\TreeEstimators.cs (2)
42
new FastTreeBinaryTrainer.
Options
989
new FastTreeBinaryTrainer.
Options
{ NumberOfTrees = 2, NumberOfThreads = 1, NumberOfLeaves = 5 }));