20 writes to Loss
Microsoft.ML.AutoML (10)
API\BinaryClassificationExperiment.cs (2)
408Loss = loss, 434Loss = loss,
API\MulticlassClassificationExperiment.cs (2)
386Loss = loss, 412Loss = loss,
API\RegressionExperiment.cs (2)
413Loss = loss, 439Loss = loss,
AutoMLExperiment\AutoMLExperiment.cs (1)
311Loss = double.MaxValue,
AutoMLExperiment\ITrialResultManager.cs (1)
182Loss = loss,
AutoMLExperiment\Runner\SweepablePipelineRunner.cs (2)
69Loss = loss, 83Loss = loss,
Microsoft.ML.AutoML.Tests (9)
AutoMLExperimentTests.cs (1)
458Loss = - -metric,
TrialResultManagerTest.cs (1)
48Loss = i * 0.99,
TunerTests.cs (7)
93Loss = double.NaN, 127Loss = loss, 192Loss = loss, 227Loss = loss, 272Loss = -metric, 327Loss = loss, 376Loss = metric,
Microsoft.ML.Fairlearn (1)
Reductions\GridSearchTrialRunner.cs (1)
101Loss = -metric,
9 references to Loss
Microsoft.ML.AutoML (8)
AutoMLExperiment\AutoMLExperiment.cs (1)
287var loss = trialResult.Loss;
AutoMLExperiment\ITrialResultManager.cs (1)
108trialResult.Loss.ToString("F3", CultureInfo.InvariantCulture),
Tuner\CostFrugalTuner.cs (1)
78var loss = result.Loss;
Tuner\PipelineProposer.cs (1)
136var loss = result.Loss;
Tuner\SmacTuner.cs (4)
129losses[i] = Convert.ToSingle(r.Loss); 172var bestKParamSets = _histories.OrderBy(i => i.Loss).Take(_localSearchParentCount).Select(r => r.TrialSettings.Parameter); 366if (!double.IsNaN(result.Loss) && !double.IsInfinity(result.Loss))
Microsoft.ML.AutoML.Tests (1)
TunerTests.cs (1)
141lastResult.Loss.Should().BeApproximately(-10.1537, 1e-3);