Evaluate

9 references to Evaluate

Microsoft.ML.AutoML.Samples (1)

AutoFit\RecommendationExperiment.cs (1)

52RegressionMetrics testMetrics = mlContext.Recommendation().Evaluate(testDataViewWithBestScore, labelColumnName: LabelColumnName);

Microsoft.ML.AutoML.Tests (1)

AutoFitTests.cs (1)

556var metrices = mlContext.Recommendation().Evaluate(testDataViewWithBestScore, labelColumnName: labelColumnName, scoreColumnName: scoreColumnName);

Microsoft.ML.IntegrationTests (1)

Evaluation.cs (1)

253var metrics = mlContext.Recommendation().Evaluate(scoredData);

Microsoft.ML.Recommender (1)

RecommenderCatalog.cs (1)

141return result.Select(x => new CrossValidationResult<RegressionMetrics>(x.Model, Evaluate(x.Scores, labelColumnName), x.Scores, x.Fold)).ToArray();

Microsoft.ML.Tests (5)

TrainerEstimators\MatrixFactorizationTests.cs (5)

125var metrices = mlContext.Recommendation().Evaluate(prediction, labelColumnName: labelColumnName, scoreColumnName: scoreColumnName); 247var metrics = mlContext.Recommendation().Evaluate(prediction, labelColumnName: nameof(MatrixElement.Value), 359var metrics = mlContext.Recommendation().Evaluate(prediction, labelColumnName: "Value", scoreColumnName: "Score"); 472var metrics = mlContext.Recommendation().Evaluate(prediction, labelColumnName: "Value", scoreColumnName: "Score"); 616var metrics = mlContext.Recommendation().Evaluate(prediction, labelColumnName: "Value", scoreColumnName: "Score");