2 instantiations of TrainContext
Microsoft.ML.Core (2)
Prediction\ITrainer.cs (2)
94=> trainer.Train(new TrainContext(trainData)); 105=> trainer.Train(new TrainContext(trainData));
14 references to TrainContext
Microsoft.ML.Core (12)
Prediction\ITrainer.cs (7)
61/// <seealso cref="ITrainer{TPredictor}.Train(TrainContext)"/> 62IPredictor Train(TrainContext context); 79new TPredictor Train(TrainContext context); 87/// Equivalent to calling <see cref="ITrainer.Train(TrainContext)"/> 88/// on a <see cref="TrainContext"/> constructed with <paramref name="trainData"/>. 98/// Equivalent to calling <see cref="ITrainer{TPredictor}.Train(TrainContext)"/> 99/// on a <see cref="TrainContext"/> constructed with <paramref name="trainData"/>.
Prediction\TrainContext.cs (2)
12/// into <see cref="ITrainer{TPredictor}.Train(TrainContext)"/> or <see cref="ITrainer.Train(TrainContext)"/>.
Prediction\TrainerInfo.cs (3)
39/// Whether the trainer supports validation set via <see cref="TrainContext.ValidationSet"/>. Not implementing 47/// Whether the trainer can use test set via <see cref="TrainContext.TestSet"/>. Not implementing 55/// Whether the trainer can support incremental trainers via <see cref="TrainContext.InitialPredictor"/>. Not
Microsoft.ML.Data (1)
TrainCatalog.cs (1)
143/// Subclasses of <see cref="TrainContext"/> will provide little "extension method" hookable objects
Microsoft.ML.Recommender (1)
MatrixFactorizationTrainer.cs (1)
422/// <param name="context">The information collection needed for training. <see cref="TrainContext"/> for details.</param>