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