1 write to Trainers
Microsoft.ML.Recommender (1)
RecommenderCatalog.cs (1)
35
Trainers
= new RecommendationTrainers(this);
14 references to Trainers
Microsoft.ML.AutoML (2)
SweepableEstimator\Estimators\MatrixFactorization.cs (1)
11
return context.Recommendation().
Trainers
.MatrixFactorization(param.LabelColumnName, param.MatrixColumnIndexColumnName, param.MatrixRowIndexColumnName, param.ApproximationRank, param.LearningRate, param.NumberOfIterations);
TrainerExtensions\RecommendationTrainerExtensions.cs (1)
22
return mlContext.Recommendation().
Trainers
.MatrixFactorization(options);
Microsoft.ML.IntegrationTests (1)
Evaluation.cs (1)
237
var pipeline = mlContext.Recommendation().
Trainers
.MatrixFactorization(
Microsoft.ML.Samples (3)
Dynamic\Trainers\Recommendation\MatrixFactorization.cs (1)
34
var pipeline = mlContext.Recommendation().
Trainers
.
Dynamic\Trainers\Recommendation\MatrixFactorizationWithOptions.cs (1)
60
var pipeline = mlContext.Recommendation().
Trainers
.MatrixFactorization(
Dynamic\Trainers\Recommendation\OneClassMatrixFactorizationWithOptions.cs (1)
66
var pipeline = mlContext.Recommendation().
Trainers
.MatrixFactorization(
Microsoft.ML.Tests (8)
TrainerEstimators\MatrixFactorizationTests.cs (8)
49
var est = ML.Recommendation().
Trainers
.MatrixFactorization(options);
84
var pipeline = mlContext.Recommendation().
Trainers
.MatrixFactorization(options);
228
var pipeline = mlContext.Recommendation().
Trainers
.MatrixFactorization(options);
340
var pipeline = mlContext.Recommendation().
Trainers
.MatrixFactorization(options);
463
var pipeline = mlContext.Recommendation().
Trainers
.MatrixFactorization(options);
607
var pipeline = mlContext.Recommendation().
Trainers
.MatrixFactorization(options);
673
var pipeline = mlContext.Recommendation().
Trainers
.MatrixFactorization(options);
787
var pipeline = mlContext.Recommendation().
Trainers
.MatrixFactorization(options);