5 instantiations of FastTreeTweedieTrainer
Microsoft.ML.FastTree (5)
FastTreeArguments.cs (1)
210
ITrainer IComponentFactory<ITrainer>.CreateComponent(IHostEnvironment env) => new
FastTreeTweedieTrainer
(env, this);
FastTreeTweedie.cs (1)
578
() => new
FastTreeTweedieTrainer
(host, input),
TreeEnsembleFeaturizationEstimator.cs (1)
459
var trainer = new
FastTreeTweedieTrainer
(Env, _trainerOptions);
TreeTrainersCatalog.cs (2)
311
return new
FastTreeTweedieTrainer
(env, labelColumnName, featureColumnName, exampleWeightColumnName, numberOfLeaves, numberOfTrees, minimumExampleCountPerLeaf, learningRate);
333
return new
FastTreeTweedieTrainer
(env, options);
41 references to FastTreeTweedieTrainer
Microsoft.ML.AutoML (3)
API\RegressionExperiment.cs (1)
91
/// See <see cref="
FastTreeTweedieTrainer
"/>.
SweepableEstimator\Estimators\FastTree.cs (1)
59
var option = new
FastTreeTweedieTrainer
.Options()
TrainerExtensions\RegressionTrainerExtensions.cs (1)
69
var options = TrainerExtensionUtil.CreateOptions<
FastTreeTweedieTrainer
.Options>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.FastTree (29)
FastTreeArguments.cs (2)
15
[assembly: EntryPointModule(typeof(
FastTreeTweedieTrainer
.Options))]
159
/// Options for the <see cref="
FastTreeTweedieTrainer
"/> as used in
FastTreeTweedie.cs (17)
17
[assembly: LoadableClass(
FastTreeTweedieTrainer
.Summary, typeof(
FastTreeTweedieTrainer
), typeof(
FastTreeTweedieTrainer
.Options),
19
FastTreeTweedieTrainer
.UserNameValue,
20
FastTreeTweedieTrainer
.LoadNameValue,
21
FastTreeTweedieTrainer
.ShortName)]
61
/// <seealso cref="TreeExtensions.FastTreeTweedie(RegressionCatalog.RegressionTrainers,
FastTreeTweedieTrainer
.Options)"/>
64
: BoostingFastTreeTrainerBase<
FastTreeTweedieTrainer
.Options, RegressionPredictionTransformer<FastTreeTweedieModelParameters>, FastTreeTweedieModelParameters>
80
/// Initializes a new instance of <see cref="
FastTreeTweedieTrainer
"/>
107
/// Initializes a new instance of <see cref="
FastTreeTweedieTrainer
"/> by using the <see cref="Options"/> class.
354
/// Trains a <see cref="
FastTreeTweedieTrainer
"/> using both training and validation data, returns
485
/// Model parameters for <see cref="
FastTreeTweedieTrainer
"/>.
567
Desc =
FastTreeTweedieTrainer
.Summary,
568
UserName =
FastTreeTweedieTrainer
.UserNameValue,
569
ShortName =
FastTreeTweedieTrainer
.ShortName)]
570
public static CommonOutputs.RegressionOutput TrainTweedieRegression(IHostEnvironment env,
FastTreeTweedieTrainer
.Options input)
577
return TrainerEntryPointsUtils.Train<
FastTreeTweedieTrainer
.Options, CommonOutputs.RegressionOutput>(host, input,
TreeEnsembleFeaturizationEstimator.cs (4)
438
private readonly
FastTreeTweedieTrainer
.Options _trainerOptions;
446
/// The configuration of <see cref="
FastTreeTweedieTrainer
"/> used to train the underlying <see cref="TreeEnsembleModelParameters"/>.
448
public
FastTreeTweedieTrainer
.Options TrainerOptions;
459
var
trainer = new FastTreeTweedieTrainer(Env, _trainerOptions);
TreeTrainersCatalog.cs (6)
283
/// Create <see cref="
FastTreeTweedieTrainer
"/>, which predicts a target using a decision tree regression model.
300
public static
FastTreeTweedieTrainer
FastTreeTweedie(this RegressionCatalog.RegressionTrainers catalog,
315
/// Create <see cref="
FastTreeTweedieTrainer
"/> using advanced options, which predicts a target using a decision tree regression model.
326
public static
FastTreeTweedieTrainer
FastTreeTweedie(this RegressionCatalog.RegressionTrainers catalog,
327
FastTreeTweedieTrainer
.Options options)
567
/// Create <see cref="FastTreeTweedieFeaturizationEstimator"/>, which uses <see cref="
FastTreeTweedieTrainer
"/> to train <see cref="TreeEnsembleModelParameters"/> to create tree-based features.
Microsoft.ML.Samples (4)
Dynamic\Trainers\Regression\FastTreeTweedie.cs (1)
30
var
pipeline = mlContext.Regression.Trainers.FastTreeTweedie(
Dynamic\Trainers\Regression\FastTreeTweedieWithOptions.cs (2)
31
var options = new
FastTreeTweedieTrainer
.Options
46
var
pipeline =
Dynamic\Transforms\TreeFeaturization\FastTreeTweedieFeaturizationWithOptions.cs (1)
46
var trainerOptions = new
FastTreeTweedieTrainer
.Options
Microsoft.ML.Tests (5)
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (1)
511
var trainerOptions = new
FastTreeTweedieTrainer
.Options
TrainerEstimators\TreeEstimators.cs (4)
271
var
trainer = ML.Regression.Trainers.FastTreeTweedie(
272
new
FastTreeTweedieTrainer
.Options
945
var
trainer = ML.Regression.Trainers.FastTreeTweedie(
946
new
FastTreeTweedieTrainer
.Options { NumberOfTrees = 10, NumberOfThreads = 1, NumberOfLeaves = 5 });