4 writes to Alpha
Microsoft.ML.Samples (1)
Dynamic\Trainers\Recommendation\OneClassMatrixFactorizationWithOptions.cs (1)
53
Alpha
= 1,
Microsoft.ML.Tests (3)
TrainerEstimators\MatrixFactorizationTests.cs (3)
459
Alpha
= 0.01, // Importance coefficient of loss function over matrix elements not specified in the input matrix.
603
Alpha
= 0.01, // Importance coefficient of loss function over matrix elements not specified in the input matrix.
666
Alpha
= 1,
7 references to Alpha
Microsoft.ML.AutoML (1)
TrainerExtensions\SweepableParams.cs (1)
129
new SweepableDiscreteParam(nameof(MatrixFactorizationTrainer.Options.
Alpha
), new object[] { 1f, 0.01f, 0.0001f, 0.000001f }),
Microsoft.ML.CodeGenerator.Tests (2)
ApprovalTests\ConsoleCodeGeneratorTests.cs (1)
555
{nameof(MatrixFactorizationTrainer.Options.
Alpha
), 1f },
TrainerGeneratorTests.cs (1)
310
{nameof(MatrixFactorizationTrainer.Options.
Alpha
), 1f },
Microsoft.ML.Recommender (4)
MatrixFactorizationTrainer.cs (4)
357
_host.CheckUserArg(options.
Alpha
> 0, nameof(options.
Alpha
), posError);
364
_alpha = options.
Alpha
;
405
_alpha = args.
Alpha
;