1 write to BestRun
Microsoft.ML.AutoML (1)
API\ExperimentResults\ExperimentResult.cs (1)
37
BestRun
= bestRun;
40 references to BestRun
Microsoft.ML.AutoML.Samples (5)
AutoFit\BinaryClassificationExperiment.cs (1)
31
RunDetail<BinaryClassificationMetrics> bestRun = experimentResult.
BestRun
;
AutoFit\MulticlassClassificationExperiment.cs (1)
32
RunDetail<MulticlassClassificationMetrics> bestRun = experimentResult.
BestRun
;
AutoFit\RankingExperiment.cs (1)
40
RunDetail<RankingMetrics> bestRun = experimentResult.
BestRun
;
AutoFit\RecommendationExperiment.cs (1)
44
RunDetail<RegressionMetrics> bestRun = experimentResult.
BestRun
;
AutoFit\RegressionExperiment.cs (1)
32
RunDetail<RegressionMetrics> bestRun = experimentResult.
BestRun
;
Microsoft.ML.AutoML.Tests (35)
AutoFitTests.cs (35)
60
Assert.True(result.
BestRun
.ValidationMetrics.Accuracy > 0.70);
61
Assert.NotNull(result.
BestRun
.Estimator);
62
Assert.NotNull(result.
BestRun
.Model);
63
Assert.NotNull(result.
BestRun
.TrainerName);
87
Assert.True(result.
BestRun
.ValidationMetrics.Accuracy >= 0.7);
88
Assert.NotNull(result.
BestRun
.Estimator);
89
Assert.NotNull(result.
BestRun
.Model);
90
Assert.NotNull(result.
BestRun
.TrainerName);
114
Assert.True(result.
BestRun
.ValidationMetrics.Accuracy > 0.70);
115
Assert.NotNull(result.
BestRun
.Estimator);
116
Assert.NotNull(result.
BestRun
.Model);
117
Assert.NotNull(result.
BestRun
.TrainerName);
174
Assert.True(result.
BestRun
.ValidationMetrics.RSquared > 0.70);
175
Assert.NotNull(result.
BestRun
.Estimator);
176
Assert.NotNull(result.
BestRun
.TrainerName);
235
Assert.True(result.
BestRun
.ValidationMetrics.RSquared > 0.70);
236
Assert.NotNull(result.
BestRun
.Estimator);
237
Assert.NotNull(result.
BestRun
.TrainerName);
244
Assert.True(result.
BestRun
.ValidationMetrics.RSquared > 0.70);
245
Assert.NotNull(result.
BestRun
.Estimator);
246
Assert.NotNull(result.
BestRun
.TrainerName);
249
var model = result.
BestRun
.Estimator.Fit(context.Data.TakeRows(dataset, 1000));
319
Assert.True(result.
BestRun
.ValidationMetrics.MicroAccuracy >= 0.7);
320
var scoredData = result.
BestRun
.Model.Transform(trainData);
323
var model = result.
BestRun
.Estimator.Fit(trainData);
349
Assert.True(result.
BestRun
.ValidationMetrics.MicroAccuracy > 0.1);
351
var scoredData = result.
BestRun
.Model.Transform(trainData);
401
Assert.InRange(result.
BestRun
.ValidationMetrics.MicroAccuracy, 0.1, 0.9);
402
var scoredData = result.
BestRun
.Model.Transform(trainData);
452
RunDetail<RankingMetrics> bestRun = experimentResults[i].
BestRun
;
539
RunDetail<RegressionMetrics> bestRun = experimentResult.
BestRun
;
603
.
BestRun
610
.
BestRun
617
.
BestRun
686
IDataView predictions = experiment.
BestRun
.Model.Transform(trainData);