1 write to Trainers
Microsoft.ML.Data (1)
TrainCatalog.cs (1)
648Trainers = new RankingTrainers(this);
16 references to Trainers
Microsoft.ML.AutoML (2)
TrainerExtensions\RankingTrainerExtensions.cs (2)
27return mlContext.Ranking.Trainers.LightGbm(options); 49return mlContext.Ranking.Trainers.FastTree(options);
Microsoft.ML.IntegrationTests (2)
Evaluation.cs (1)
177.Append(mlContext.Ranking.Trainers.FastTree(new FastTreeRankingTrainer.Options { NumberOfThreads = 1 }));
Validation.cs (1)
71var trainer = mlContext.Ranking.Trainers.FastTree(new FastTreeRankingTrainer.Options()
Microsoft.ML.Samples (6)
Dynamic\Trainers\Ranking\FastTree.cs (1)
30var pipeline = mlContext.Ranking.Trainers.FastTree();
Dynamic\Trainers\Ranking\FastTreeWithOptions.cs (1)
44var pipeline = mlContext.Ranking.Trainers.FastTree(options);
Dynamic\Trainers\Ranking\LightGbm.cs (1)
30var pipeline = mlContext.Ranking.Trainers.LightGbm();
Dynamic\Trainers\Ranking\LightGbmWithOptions.cs (1)
45var pipeline = mlContext.Ranking.Trainers.LightGbm(options);
Dynamic\Trainers\Ranking\PermutationFeatureImportance.cs (1)
33.Append(mlContext.Ranking.Trainers.FastTree());
Dynamic\Trainers\Ranking\PermutationFeatureImportanceLoadFromDisk.cs (1)
35.Append(mlContext.Ranking.Trainers.FastTree());
Microsoft.ML.Tests (6)
FeatureContributionTests.cs (2)
110TestFeatureContribution(ML.Ranking.Trainers.FastTree(), GetSparseDataset(TaskType.Ranking, 100), "FastTreeRanking"); 116TestFeatureContribution(ML.Ranking.Trainers.LightGbm(), GetSparseDataset(TaskType.Ranking, 100), "LightGbmRanking");
PermutationFeatureImportanceTests.cs (2)
676var model = ML.Ranking.Trainers.FastTree().Fit(data); 745var model = ML.Ranking.Trainers.FastTree().Fit(data);
TrainerEstimators\TreeEstimators.cs (2)
175var trainer = ML.Ranking.Trainers.FastTree( 199var trainer = ML.Ranking.Trainers.LightGbm(new LightGbmRankingTrainer.Options() { LabelColumnName = "Label0", FeatureColumnName = "NumericFeatures", RowGroupColumnName = "Group", LearningRate = 0.4 });