4 instantiations of LightGbmMulticlassTrainer
Microsoft.ML.LightGbm (4)
LightGbmCatalog.cs (3)
255return new LightGbmMulticlassTrainer(env, labelColumnName, featureColumnName, exampleWeightColumnName, numberOfLeaves, minimumExampleCountPerLeaf, learningRate, numberOfIterations); 275return new LightGbmMulticlassTrainer(env, options); 291return new LightGbmMulticlassTrainer(env, lightGbmModel, featureColumnName);
LightGbmMulticlassTrainer.cs (1)
404() => new LightGbmMulticlassTrainer(host, input),
46 references to LightGbmMulticlassTrainer
Microsoft.ML.AutoML (4)
API\MulticlassClassificationExperiment.cs (1)
96/// See <see cref="LightGbmMulticlassTrainer"/>.
SweepableEstimator\Estimators\LightGbm.cs (1)
13var option = new LightGbmMulticlassTrainer.Options()
TrainerExtensions\MultiTrainerExtensions.cs (2)
70LightGbmMulticlassTrainer.Options options = TrainerExtensionUtil.CreateLightGbmOptions<LightGbmMulticlassTrainer.Options, VBuffer<float>, MulticlassPredictionTransformer<OneVersusAllModelParameters>, OneVersusAllModelParameters>(sweepParams, columnInfo);
Microsoft.ML.LightGbm (21)
LightGbmCatalog.cs (7)
227/// Create <see cref="LightGbmMulticlassTrainer"/>, which predicts a target using a gradient boosting decision tree multiclass classification model. 244public static LightGbmMulticlassTrainer LightGbm(this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, 259/// Create <see cref="LightGbmMulticlassTrainer"/> with advanced options, which predicts a target using a gradient boosting decision tree multiclass classification model. 270public static LightGbmMulticlassTrainer LightGbm(this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, 271LightGbmMulticlassTrainer.Options options) 279/// Create <see cref="LightGbmMulticlassTrainer"/> from a pre-trained LightGBM model, which predicts a target using a gradient boosting decision tree multiclass classification model. 284public static LightGbmMulticlassTrainer LightGbm(this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog,
LightGbmMulticlassTrainer.cs (14)
19[assembly: LoadableClass(LightGbmMulticlassTrainer.Summary, typeof(LightGbmMulticlassTrainer), typeof(LightGbmMulticlassTrainer.Options), 21"LightGBM Multi-class Classifier", LightGbmMulticlassTrainer.LoadNameValue, LightGbmMulticlassTrainer.ShortName, DocName = "trainer/LightGBM.md")] 49/// <seealso cref="LightGbmExtensions.LightGbm(MulticlassClassificationCatalog.MulticlassClassificationTrainers, LightGbmMulticlassTrainer.Options)"/> 51public sealed class LightGbmMulticlassTrainer : LightGbmTrainerBase<LightGbmMulticlassTrainer.Options, 72/// Options for the <see cref="LightGbmMulticlassTrainer"/> as used in 142/// Initializes a new instance of <see cref="LightGbmMulticlassTrainer"/> 379/// Trains a <see cref="LightGbmMulticlassTrainer"/> using both training and validation data, returns 394UserName = LightGbmMulticlassTrainer.Summary, 395ShortName = LightGbmMulticlassTrainer.ShortName)] 396public static CommonOutputs.MulticlassClassificationOutput TrainMulticlass(IHostEnvironment env, LightGbmMulticlassTrainer.Options input) 403return TrainerEntryPointsUtils.Train<LightGbmMulticlassTrainer.Options, CommonOutputs.MulticlassClassificationOutput>(host, input,
Microsoft.ML.PerformanceTests (2)
Numeric\Ranking.cs (1)
60var environment = EnvironmentFactory.CreateRankingEnvironment<RankingEvaluator, TextLoader, HashingTransformer, LightGbmMulticlassTrainer, OneVersusAllModelParameters>();
Text\MultiClassClassification.cs (1)
55var environment = EnvironmentFactory.CreateClassificationEnvironment<TextLoader, OneHotEncodingTransformer, LightGbmMulticlassTrainer, OneVersusAllModelParameters>();
Microsoft.ML.Predictor.Tests (1)
TestPredictors.cs (1)
807LightGbm.TrainMulticlass(Env, new LightGbmMulticlassTrainer.Options
Microsoft.ML.Samples (1)
Dynamic\Trainers\MulticlassClassification\LightGbmWithOptions.cs (1)
31var options = new LightGbmMulticlassTrainer.Options
Microsoft.ML.TensorFlow.Tests (1)
TensorflowTests.cs (1)
841.Append(_mlContext.MulticlassClassification.Trainers.LightGbm(new Trainers.LightGbm.LightGbmMulticlassTrainer.Options()
Microsoft.ML.Tests (16)
OnnxConversionTest.cs (1)
1677new LightGbmMulticlassTrainer.Options { UseSoftmax = true }));
TrainerEstimators\TreeEstimators.cs (15)
309var trainer = ML.MulticlassClassification.Trainers.LightGbm(learningRate: 0.4); 326var trainer = ML.MulticlassClassification.Trainers.LightGbm(fStream); 342var options = new LightGbmMulticlassTrainer.Options 344EvaluationMetric = LightGbmMulticlassTrainer.Options.EvaluateMetricType.Default, 349var trainer = ML.MulticlassClassification.Trainers.LightGbm(options); 365var trainer = ML.MulticlassClassification.Trainers.LightGbm(new LightGbmMulticlassTrainer.Options 390var trainer = ML.MulticlassClassification.Trainers.LightGbm(new LightGbmMulticlassTrainer.Options 409var trainer = ML.MulticlassClassification.Trainers.LightGbm(new LightGbmMulticlassTrainer.Options 463var gbmTrainer = new LightGbmMulticlassTrainer(mlContext, 464new LightGbmMulticlassTrainer.Options 780var trainer = ML.MulticlassClassification.Trainers.LightGbm(learningRate: 0.4); 1113new LightGbmMulticlassTrainer.Options