8 references to SquareLossRegression
Microsoft.ML.AutoML (1)
TrainerExtensions\SweepableParams.cs (1)
128
new SweepableDiscreteParam(nameof(MatrixFactorizationTrainer.Options.LossFunction), new object[] { MatrixFactorizationTrainer.LossFunctionType.
SquareLossRegression
, MatrixFactorizationTrainer.LossFunctionType.SquareLossOneClass }),
Microsoft.ML.CodeGenerator.Tests (2)
ApprovalTests\ConsoleCodeGeneratorTests.cs (1)
554
{nameof(MatrixFactorizationTrainer.Options.LossFunction), MatrixFactorizationTrainer.LossFunctionType.
SquareLossRegression
},
TrainerGeneratorTests.cs (1)
309
{nameof(MatrixFactorizationTrainer.Options.LossFunction), MatrixFactorizationTrainer.LossFunctionType.
SquareLossRegression
},
Microsoft.ML.Recommender (5)
MatrixFactorizationTrainer.cs (4)
165
/// Two values are allowed, <see cref="LossFunctionType.
SquareLossRegression
"/> or <see cref="LossFunctionType.SquareLossOneClass"/>.
166
/// The <see cref="LossFunctionType.
SquareLossRegression
"/> means traditional collaborative filtering problem with squared loss.
171
[TlcModule.SweepableDiscreteParam("LossFunction", new object[] { LossFunctionType.
SquareLossRegression
, LossFunctionType.SquareLossOneClass })]
283
public const LossFunctionType LossFunction = LossFunctionType.
SquareLossRegression
;
RecommenderCatalog.cs (1)
86
/// The default setting <see cref="MatrixFactorizationTrainer.LossFunctionType.
SquareLossRegression
"/> is for standard matrix factorization problem.