5 instantiations of FastTreeBinaryTrainer
Microsoft.ML.FastTree (5)
FastTreeArguments.cs (1)
107ITrainer IComponentFactory<ITrainer>.CreateComponent(IHostEnvironment env) => new FastTreeBinaryTrainer(env, this);
FastTreeClassification.cs (1)
442() => new FastTreeBinaryTrainer(host, input),
TreeEnsembleFeaturizationEstimator.cs (1)
244var trainer = new FastTreeBinaryTrainer(Env, _trainerOptions);
TreeTrainersCatalog.cs (2)
101return new FastTreeBinaryTrainer(env, labelColumnName, featureColumnName, exampleWeightColumnName, numberOfLeaves, numberOfTrees, minimumExampleCountPerLeaf, learningRate); 123return new FastTreeBinaryTrainer(env, options);
71 references to FastTreeBinaryTrainer
Microsoft.ML.AutoML (7)
API\BinaryClassificationExperiment.cs (1)
112/// See <see cref="FastTreeBinaryTrainer"/>.
API\MulticlassClassificationExperiment.cs (1)
91/// <see cref="OneVersusAllTrainer"/> using <see cref="FastTreeBinaryTrainer"/>.
SweepableEstimator\Estimators\FastTree.cs (2)
13var option = new FastTreeBinaryTrainer.Options() 82var option = new FastTreeBinaryTrainer.Options()
TrainerExtensions\BinaryTrainerExtensions.cs (1)
96var options = TrainerExtensionUtil.CreateOptions<FastTreeBinaryTrainer.Options>(sweepParams, columnInfo.LabelColumnName);
TrainerExtensions\MultiTrainerExtensions.cs (2)
202var binaryTrainer = _binaryLearnerCatalogItem.CreateInstance(mlContext, sweepParams, columnInfo) as FastTreeBinaryTrainer;
Microsoft.ML.Core.Tests (3)
UnitTests\TestEntryPoints.cs (3)
2175var ftInput = new FastTreeBinaryTrainer.Options 2182var trainer = new FastTreeBinaryTrainer(Env, ftInput); 4458var fastTree = Trainers.FastTree.FastTree.TrainBinary(Env, new FastTreeBinaryTrainer.Options
Microsoft.ML.FastTree (31)
FastTreeArguments.cs (2)
13[assembly: EntryPointModule(typeof(FastTreeBinaryTrainer.Options))] 59/// Options for the <see cref="FastTreeBinaryTrainer"/> as used in
FastTreeClassification.cs (17)
16[assembly: LoadableClass(FastTreeBinaryTrainer.Summary, typeof(FastTreeBinaryTrainer), typeof(FastTreeBinaryTrainer.Options), 18FastTreeBinaryTrainer.UserNameValue, 19FastTreeBinaryTrainer.LoadNameValue, 23FastTreeBinaryTrainer.ShortName, 42/// Model parameters for <see cref="FastTreeBinaryTrainer"/>. 127/// <seealso cref="TreeExtensions.FastTree(BinaryClassificationCatalog.BinaryClassificationTrainers, FastTreeBinaryTrainer.Options)"/> 130BoostingFastTreeTrainerBase<FastTreeBinaryTrainer.Options, 146/// Initializes a new instance of <see cref="FastTreeBinaryTrainer"/> 171/// Initializes a new instance of <see cref="FastTreeBinaryTrainer"/> by using the <see cref="Options"/> class. 306/// Trains a <see cref="FastTreeBinaryTrainer"/> using both training and validation data, returns 431Desc = FastTreeBinaryTrainer.Summary, 432UserName = FastTreeBinaryTrainer.UserNameValue, 433ShortName = FastTreeBinaryTrainer.ShortName)] 434public static CommonOutputs.BinaryClassificationOutput TrainBinary(IHostEnvironment env, FastTreeBinaryTrainer.Options input) 441return TrainerEntryPointsUtils.Train<FastTreeBinaryTrainer.Options, CommonOutputs.BinaryClassificationOutput>(host, input,
GamClassification.cs (1)
148return new FastTreeBinaryTrainer.ObjectiveImpl(
GamRegression.cs (1)
81/// Initializes a new instance of <see cref="FastTreeBinaryTrainer"/>
TreeEnsembleFeaturizationEstimator.cs (4)
223private readonly FastTreeBinaryTrainer.Options _trainerOptions; 231/// The configuration of <see cref="FastTreeBinaryTrainer"/> used to train the underlying <see cref="TreeEnsembleModelParameters"/>. 233public FastTreeBinaryTrainer.Options TrainerOptions; 244var trainer = new FastTreeBinaryTrainer(Env, _trainerOptions);
TreeTrainersCatalog.cs (6)
73/// Create <see cref="FastTreeBinaryTrainer"/>, which predicts a target using a decision tree binary classification model. 90public static FastTreeBinaryTrainer FastTree(this BinaryClassificationCatalog.BinaryClassificationTrainers catalog, 105/// Create <see cref="FastTreeBinaryTrainer"/> with advanced options, which predicts a target using a decision tree binary classification model. 116public static FastTreeBinaryTrainer FastTree(this BinaryClassificationCatalog.BinaryClassificationTrainers catalog, 117FastTreeBinaryTrainer.Options options) 525/// Create <see cref="FastTreeBinaryFeaturizationEstimator"/>, which uses <see cref="FastTreeBinaryTrainer"/> to train <see cref="TreeEnsembleModelParameters"/> to create tree-based features.
Microsoft.ML.IntegrationTests (3)
IntrospectiveTraining.cs (1)
84new FastTreeBinaryTrainer.Options { NumberOfLeaves = 5, NumberOfTrees = 3, NumberOfThreads = 1 }));
Training.cs (2)
48var fastTreeTrainer = mlContext.BinaryClassification.Trainers.FastTree( 49new FastTreeBinaryTrainer.Options { NumberOfThreads = 1 });
Microsoft.ML.Predictor.Tests (3)
TestPredictors.cs (3)
632fastTrees[i] = FastTree.TrainBinary(ML, new FastTreeBinaryTrainer.Options 654fastTrees[i] = FastTree.TrainBinary(ML, new FastTreeBinaryTrainer.Options 761FastTree.TrainBinary(ML, new FastTreeBinaryTrainer.Options
Microsoft.ML.Samples (6)
Dynamic\Trainers\BinaryClassification\FastTree.cs (1)
30var pipeline = mlContext.BinaryClassification.Trainers
Dynamic\Trainers\BinaryClassification\FastTreeWithOptions.cs (2)
31var options = new FastTreeBinaryTrainer.Options 42var pipeline = mlContext.BinaryClassification.Trainers
Dynamic\Transforms\TreeFeaturization\FastTreeBinaryFeaturizationWithOptions.cs (1)
46var trainerOptions = new FastTreeBinaryTrainer.Options
Dynamic\Transforms\TreeFeaturization\PretrainedTreeEnsembleFeaturizationWithOptions.cs (2)
38var trainer = mlContext.BinaryClassification.Trainers.FastTree( 39new FastTreeBinaryTrainer.Options
Microsoft.ML.TestFramework (1)
Learners.cs (1)
42ok &= typeof(FastTreeBinaryTrainer) != null;
Microsoft.ML.Tests (17)
CalibratedModelParametersTests.cs (1)
73new FastTreeBinaryTrainer.Options { NumberOfThreads = 1 }).Fit(data);
Scenarios\Api\Estimators\PredictAndMetadata.cs (1)
112var singleTrainer = mlContext.BinaryClassification.Trainers.FastTree();
Scenarios\OvaTest.cs (1)
107mlContext.BinaryClassification.Trainers.FastTree(new FastTreeBinaryTrainer.Options { NumberOfThreads = 1 }),
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (11)
25var trainer = ML.BinaryClassification.Trainers.FastTree( 26new FastTreeBinaryTrainer.Options 132var trainer = ML.BinaryClassification.Trainers.FastTree( 133new FastTreeBinaryTrainer.Options 239var trainer = ML.BinaryClassification.Trainers.FastTree( 240new FastTreeBinaryTrainer.Options 292/// 1. It first trains a <see cref="FastTreeBinaryModelParameters"/> using <see cref="FastTreeBinaryTrainer"/>. 307var trainer = ML.BinaryClassification.Trainers.FastTree( 308new FastTreeBinaryTrainer.Options 357var trainerOptions = new FastTreeBinaryTrainer.Options 716var trainerOptions = new FastTreeBinaryTrainer.Options
TrainerEstimators\TreeEstimators.cs (3)
41var trainer = ML.BinaryClassification.Trainers.FastTree( 42new FastTreeBinaryTrainer.Options 989new FastTreeBinaryTrainer.Options { NumberOfTrees = 2, NumberOfThreads = 1, NumberOfLeaves = 5 }));