15 references to TopKAccuracy
Microsoft.ML.AutoML (4)
API\MulticlassClassificationExperiment.cs (2)
75
/// See <see cref="MulticlassClassificationMetrics.
TopKAccuracy
"/>.
456
MulticlassClassificationMetric.TopKAccuracy => metrics.
TopKAccuracy
,
AutoMLExperiment\IMetricManager.cs (1)
103
MulticlassClassificationMetric.TopKAccuracy => metric.
TopKAccuracy
,
Experiment\MetricsAgents\MultiMetricsAgent.cs (1)
39
return metrics.
TopKAccuracy
;
Microsoft.ML.Data (2)
Evaluators\Metrics\MulticlassClassificationMetrics.cs (1)
83
/// If positive, this indicates the K in <see cref="
TopKAccuracy
"/> and <see cref="TopKAccuracyForAllK"/>.
TrainCatalog.cs (1)
518
/// <param name="topKPredictionCount">If given a positive value, the <see cref="MulticlassClassificationMetrics.
TopKAccuracy
"/> will be filled with
Microsoft.ML.IntegrationTests (1)
Common.cs (1)
229
Assert.InRange(metrics.
TopKAccuracy
, 0, 1);
Microsoft.ML.Tests (6)
Scenarios\IrisPlantClassificationTests.cs (1)
93
Assert.Equal(1, metrics.
TopKAccuracy
);
Scenarios\IrisPlantClassificationWithStringLabelTests.cs (1)
96
Assert.Equal(1, metrics.
TopKAccuracy
);
TrainerEstimators\SdcaTests.cs (4)
191
Assert.Equal(0.9100, metrics1.
TopKAccuracy
, 0.0001);
193
Assert.Equal(0.8800, metrics2.
TopKAccuracy
, 0.0001);
288
Assert.InRange(metrics.
TopKAccuracy
, 0.8, 1);
322
Assert.InRange(metrics.
TopKAccuracy
, 0.8, 1);
Microsoft.ML.Transforms (2)
MetricStatistics.cs (2)
240
/// Summary statistics for <see cref="MulticlassClassificationMetrics.
TopKAccuracy
"/>.
268
TopKAccuracy.Add(metrics.
TopKAccuracy
);