10 instantiations of Options
Microsoft.ML.AutoML (1)
SweepableEstimator\Estimators\FastTree.cs (1)
36
var option = new FastTreeRegressionTrainer.
Options
()
Microsoft.ML.IntegrationTests (4)
ModelFiles.cs (2)
50
new FastTreeRegressionTrainer.
Options
{ NumberOfThreads = 1, NumberOfTrees = 10 }));
97
new FastTreeRegressionTrainer.
Options
{ NumberOfThreads = 1, NumberOfTrees = 10 }));
ONNX.cs (1)
44
new FastTreeRegressionTrainer.
Options
{ NumberOfThreads = 1, NumberOfTrees = 10 }));
Validation.cs (1)
121
var trainedModel = mlContext.Regression.Trainers.FastTree(new FastTreeRegressionTrainer.
Options
Microsoft.ML.Samples (2)
Dynamic\Trainers\Regression\FastTreeWithOptions.cs (1)
31
var options = new FastTreeRegressionTrainer.
Options
Dynamic\Transforms\TreeFeaturization\FastTreeRegressionFeaturizationWithOptions.cs (1)
46
var trainerOptions = new FastTreeRegressionTrainer.
Options
Microsoft.ML.Tests (3)
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (1)
435
var trainerOptions = new FastTreeRegressionTrainer.
Options
TrainerEstimators\TreeEstimators.cs (2)
217
new FastTreeRegressionTrainer.
Options
{ NumberOfTrees = 10, NumberOfThreads = 1, NumberOfLeaves = 5 });
910
new FastTreeRegressionTrainer.
Options
{ NumberOfTrees = 10, NumberOfThreads = 1, NumberOfLeaves = 5 });
21 references to Options
Microsoft.ML.AutoML (3)
SweepableEstimator\Estimators\FastTree.cs (1)
36
var
option = new FastTreeRegressionTrainer.Options()
TrainerExtensions\RegressionTrainerExtensions.cs (2)
47
var
options = TrainerExtensionUtil.CreateOptions<FastTreeRegressionTrainer.
Options
>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.FastTree (15)
FastTreeArguments.cs (2)
14
[assembly: EntryPointModule(typeof(FastTreeRegressionTrainer.
Options
))]
144
/// Create a new <see cref="
Options
"/> object with default values.
FastTreeRanking.cs (1)
65
/// <seealso cref="TreeExtensions.FastTree(RegressionCatalog.RegressionTrainers, FastTreeRegressionTrainer.
Options
)"/>
FastTreeRegression.cs (9)
14
[assembly: LoadableClass(FastTreeRegressionTrainer.Summary, typeof(FastTreeRegressionTrainer), typeof(FastTreeRegressionTrainer.
Options
),
56
/// <seealso cref="TreeExtensions.FastTree(RegressionCatalog.RegressionTrainers, FastTreeRegressionTrainer.
Options
)"/>
57
/// <seealso cref="
Options
"/>
59
: BoostingFastTreeTrainerBase<FastTreeRegressionTrainer.
Options
, RegressionPredictionTransformer<FastTreeRegressionModelParameters>, FastTreeRegressionModelParameters>
99
/// Initializes a new instance of <see cref="FastTreeRegressionTrainer"/> by using the <see cref="
Options
"/> class.
103
internal FastTreeRegressionTrainer(IHostEnvironment env,
Options
options)
431
public ObjectiveImpl(Dataset trainData,
Options
options)
534
public static CommonOutputs.RegressionOutput TrainRegression(IHostEnvironment env, FastTreeRegressionTrainer.
Options
input)
541
return TrainerEntryPointsUtils.Train<FastTreeRegressionTrainer.
Options
, CommonOutputs.RegressionOutput>(host, input,
TreeEnsembleFeaturizationEstimator.cs (2)
266
private readonly FastTreeRegressionTrainer.
Options
_trainerOptions;
276
public FastTreeRegressionTrainer.
Options
TrainerOptions;
TreeTrainersCatalog.cs (1)
63
FastTreeRegressionTrainer.
Options
options)
Microsoft.ML.Samples (2)
Dynamic\Trainers\Regression\FastTreeWithOptions.cs (1)
31
var
options = new FastTreeRegressionTrainer.Options
Dynamic\Transforms\TreeFeaturization\FastTreeRegressionFeaturizationWithOptions.cs (1)
46
var
trainerOptions = new FastTreeRegressionTrainer.Options
Microsoft.ML.Tests (1)
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (1)
435
var
trainerOptions = new FastTreeRegressionTrainer.Options