1 write to RunDetails
Microsoft.ML.AutoML (1)
API\ExperimentResults\ExperimentResult.cs (1)
36RunDetails = runDetails;
14 references to RunDetails
Microsoft.ML.AutoML.Samples (5)
AutoFit\BinaryClassificationExperiment.cs (1)
32Console.WriteLine($"Total models produced: {experimentResult.RunDetails.Count()}");
AutoFit\MulticlassClassificationExperiment.cs (1)
33Console.WriteLine($"Total models produced: {experimentResult.RunDetails.Count()}");
AutoFit\RankingExperiment.cs (1)
41Console.WriteLine($"Total models produced: {experimentResult.RunDetails.Count()}");
AutoFit\RecommendationExperiment.cs (1)
45Console.WriteLine($"Total models produced: {experimentResult.RunDetails.Count()}");
AutoFit\RegressionExperiment.cs (1)
33Console.WriteLine($"Total models produced: {experimentResult.RunDetails.Count()}");
Microsoft.ML.AutoML.Tests (9)
AutoFitTests.cs (6)
457Assert.True(experimentResults[i].RunDetails.Count() > 0); 541Assert.True(experimentResult.RunDetails.Count() > 1); 543Assert.True(experimentResult.RunDetails.Max(i => i?.ValidationMetrics?.RSquared * i?.ValidationMetrics?.RSquared) > 0.5); 660if (experiment.RunDetails.Select(r => r.Exception == null).Count() > 1 && experiment.RunDetails.Last().Exception != null) 663var lastException = experiment.RunDetails.Last().Exception;
Utils\TaskAgnosticAutoFit.cs (3)
70var iterationResults = classificationResult.RunDetails.Select(i => new TaskAgnosticIterationResult(i)).ToList(); 92iterationResults = regressionResult.RunDetails.Select(i => new TaskAgnosticIterationResult(i)).ToList(); 114iterationResults = recommendationResult.RunDetails.Select(i => new TaskAgnosticIterationResult(i)).ToList();