10 instantiations of Options
Microsoft.ML.AutoML (2)
SweepableEstimator\Estimators\FastForest.cs (2)
13
var option = new FastForestBinaryTrainer.
Options
()
49
var option = new FastForestBinaryTrainer.
Options
()
Microsoft.ML.Samples (2)
Dynamic\Trainers\BinaryClassification\FastForestWithOptions.cs (1)
31
var options = new FastForestBinaryTrainer.
Options
Dynamic\Transforms\TreeFeaturization\FastForestBinaryFeaturizationWithOptions.cs (1)
46
var trainerOptions = new FastForestBinaryTrainer.
Options
Microsoft.ML.Samples.OneDal (1)
Program.cs (1)
71
FastForestBinaryTrainer.Options options = new FastForestBinaryTrainer.
Options
();
Microsoft.ML.Tests (5)
TrainerEstimators\OneDalEstimators.cs (1)
64
FastForestBinaryTrainer.Options options = new FastForestBinaryTrainer.
Options
();
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (2)
185
new FastForestBinaryTrainer.
Options
396
var trainerOptions = new FastForestBinaryTrainer.
Options
TrainerEstimators\TreeEstimators.cs (2)
153
new FastForestBinaryTrainer.
Options
1007
new FastForestBinaryTrainer.
Options
{ NumberOfTrees = 2, NumberOfThreads = 1, NumberOfLeaves = 4, CategoricalSplit = true }));
21 references to Options
Microsoft.ML.AutoML (4)
SweepableEstimator\Estimators\FastForest.cs (2)
13
var
option = new FastForestBinaryTrainer.Options()
49
var
option = new FastForestBinaryTrainer.Options()
TrainerExtensions\BinaryTrainerExtensions.cs (2)
74
var
options = TrainerExtensionUtil.CreateOptions<FastForestBinaryTrainer.
Options
>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.FastTree (12)
RandomForestClassification.cs (9)
20
[assembly: LoadableClass(FastForestBinaryTrainer.Summary, typeof(FastForestBinaryTrainer), typeof(FastForestBinaryTrainer.
Options
),
144
/// <seealso cref="TreeExtensions.FastForest(BinaryClassificationCatalog.BinaryClassificationTrainers, FastForestBinaryTrainer.
Options
)"/>
145
/// <seealso cref="
Options
"/>
147
RandomForestTrainerBase<FastForestBinaryTrainer.
Options
, BinaryPredictionTransformer<FastForestBinaryModelParameters>, FastForestBinaryModelParameters>
202
/// Initializes a new instance of <see cref="FastForestBinaryTrainer"/> by using the <see cref="
Options
"/> class.
206
internal FastForestBinaryTrainer(IHostEnvironment env,
Options
options)
388
public ObjectiveFunctionImpl(Dataset trainSet, bool[] trainSetLabels,
Options
options)
410
public static CommonOutputs.BinaryClassificationOutput TrainBinary(IHostEnvironment env, FastForestBinaryTrainer.
Options
input)
417
return TrainerEntryPointsUtils.Train<FastForestBinaryTrainer.
Options
, CommonOutputs.BinaryClassificationOutput>(host, input,
TreeEnsembleFeaturizationEstimator.cs (2)
309
private readonly FastForestBinaryTrainer.
Options
_trainerOptions;
319
public FastForestBinaryTrainer.
Options
TrainerOptions;
TreeTrainersCatalog.cs (1)
431
FastForestBinaryTrainer.
Options
options)
Microsoft.ML.Samples (2)
Dynamic\Trainers\BinaryClassification\FastForestWithOptions.cs (1)
31
var
options = new FastForestBinaryTrainer.Options
Dynamic\Transforms\TreeFeaturization\FastForestBinaryFeaturizationWithOptions.cs (1)
46
var
trainerOptions = new FastForestBinaryTrainer.Options
Microsoft.ML.Samples.OneDal (1)
Program.cs (1)
71
FastForestBinaryTrainer.
Options
options = new FastForestBinaryTrainer.Options();
Microsoft.ML.Tests (2)
TrainerEstimators\OneDalEstimators.cs (1)
64
FastForestBinaryTrainer.
Options
options = new FastForestBinaryTrainer.Options();
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (1)
396
var
trainerOptions = new FastForestBinaryTrainer.Options