21 writes to Loss
Microsoft.ML.AutoML (10)
API\BinaryClassificationExperiment.cs (2)
408
Loss
= loss,
434
Loss
= loss,
API\MulticlassClassificationExperiment.cs (2)
386
Loss
= loss,
412
Loss
= loss,
API\RegressionExperiment.cs (2)
413
Loss
= loss,
439
Loss
= loss,
AutoMLExperiment\AutoMLExperiment.cs (1)
311
Loss
= double.MaxValue,
AutoMLExperiment\ITrialResultManager.cs (1)
182
Loss
= loss,
AutoMLExperiment\Runner\SweepablePipelineRunner.cs (2)
69
Loss
= loss,
83
Loss
= loss,
Microsoft.ML.AutoML.Tests (10)
AutoMLExperimentTests.cs (2)
82
Loss
= _metricManager.IsMaximize ? -metric : metric,
513
Loss
= - -metric,
TrialResultManagerTest.cs (1)
47
Loss
= i * 0.99,
TunerTests.cs (7)
92
Loss
= double.NaN,
126
Loss
= loss,
191
Loss
= loss,
226
Loss
= loss,
271
Loss
= -metric,
326
Loss
= loss,
375
Loss
= metric,
Microsoft.ML.Fairlearn (1)
Reductions\GridSearchTrialRunner.cs (1)
101
Loss
= -metric,
9 references to Loss
Microsoft.ML.AutoML (8)
AutoMLExperiment\AutoMLExperiment.cs (1)
287
var loss = trialResult.
Loss
;
AutoMLExperiment\ITrialResultManager.cs (1)
108
trialResult.
Loss
.ToString("F3", CultureInfo.InvariantCulture),
Tuner\CostFrugalTuner.cs (1)
78
var loss = result.
Loss
;
Tuner\PipelineProposer.cs (1)
136
var loss = result.
Loss
;
Tuner\SmacTuner.cs (4)
129
losses[i] = Convert.ToSingle(r.
Loss
);
172
var bestKParamSets = _histories.OrderBy(i => i.
Loss
).Take(_localSearchParentCount).Select(r => r.TrialSettings.Parameter);
366
if (!double.IsNaN(result.
Loss
) && !double.IsInfinity(result.
Loss
))
Microsoft.ML.AutoML.Tests (1)
TunerTests.cs (1)
140
Assert.Equal(-10.1537, lastResult.
Loss
, tolerance: 1e-3);