8 instantiations of Options
Microsoft.ML.AutoML (1)
SweepableEstimator\Estimators\LightGbm.cs (1)
69
var option = new LightGbmRegressionTrainer.
Options
()
Microsoft.ML.LightGbm (2)
LightGbmRegressionTrainer.cs (2)
178
: this(env, new
Options
()
207
new
Options
()
Microsoft.ML.Samples (2)
Dynamic\Trainers\Regression\LightGbmWithOptions.cs (1)
31
var options = new LightGbmRegressionTrainer.
Options
Dynamic\Trainers\Regression\LightGbmWithOptionsAdvanced.cs (1)
43
new LightGbmRegressionTrainer.
Options
Microsoft.ML.Tests (3)
FeatureContributionTests.cs (1)
59
TestFeatureContribution(ML.Regression.Trainers.LightGbm(new LightGbmRegressionTrainer.
Options
() { UseCategoricalSplit = true }), GetOneHotEncodedData(numberOfInstances: 100), "LightGbmRegressionWithCategoricalSplit");
TrainerEstimators\TreeEstimators.cs (2)
234
var trainer = ML.Regression.Trainers.LightGbm(new LightGbmRegressionTrainer.
Options
967
new LightGbmRegressionTrainer.
Options
12 references to Options
Microsoft.ML.AutoML (3)
SweepableEstimator\Estimators\LightGbm.cs (1)
69
var
option = new LightGbmRegressionTrainer.Options()
TrainerExtensions\RegressionTrainerExtensions.cs (2)
91
LightGbmRegressionTrainer.
Options
options = TrainerExtensionUtil.CreateLightGbmOptions<LightGbmRegressionTrainer.
Options
, float, RegressionPredictionTransformer<LightGbmRegressionModelParameters>, LightGbmRegressionModelParameters>(sweepParams, columnInfo);
Microsoft.ML.LightGbm (8)
LightGbmCatalog.cs (1)
64
LightGbmRegressionTrainer.
Options
options)
LightGbmRegressionTrainer.cs (7)
15
[assembly: LoadableClass(LightGbmRegressionTrainer.Summary, typeof(LightGbmRegressionTrainer), typeof(LightGbmRegressionTrainer.
Options
),
103
/// <seealso cref="LightGbmExtensions.LightGbm(RegressionCatalog.RegressionTrainers, LightGbmRegressionTrainer.
Options
)"/>
104
/// <seealso cref="
Options
"/>
105
public sealed class LightGbmRegressionTrainer : LightGbmTrainerBase<LightGbmRegressionTrainer.
Options
,
191
internal LightGbmRegressionTrainer(IHostEnvironment env,
Options
options)
274
public static CommonOutputs.RegressionOutput TrainRegression(IHostEnvironment env, LightGbmRegressionTrainer.
Options
input)
281
return TrainerEntryPointsUtils.Train<LightGbmRegressionTrainer.
Options
, CommonOutputs.RegressionOutput>(host, input,
Microsoft.ML.Samples (1)
Dynamic\Trainers\Regression\LightGbmWithOptions.cs (1)
31
var
options = new LightGbmRegressionTrainer.Options