2 writes to PositivePrecision
Microsoft.ML.Data (2)
Evaluators\Metrics\BinaryClassificationMetrics.cs (2)
103
PositivePrecision
= Fetch(BinaryClassifierEvaluator.PosPrecName);
118
PositivePrecision
= positivePrecision;
45 references to PositivePrecision
Microsoft.ML.AutoML (6)
API\BinaryClassificationExperiment.cs (2)
81
/// See <see cref="BinaryClassificationMetrics.
PositivePrecision
"/>.
474
BinaryClassificationMetric.PositivePrecision => metrics.
PositivePrecision
,
AutoMLExperiment\IMetricManager.cs (2)
63
BinaryClassificationMetric.PositivePrecision => metric.
PositivePrecision
,
66
BinaryClassificationMetric.PositiveRecall => metric.
PositivePrecision
,
Experiment\MetricsAgents\BinaryMetricsAgent.cs (1)
43
return metrics.
PositivePrecision
;
Experiment\Runners\CrossValSummaryRunner.cs (1)
104
positivePrecision: GetAverageOfNonNaNScores(newMetrics.Select(x => x.
PositivePrecision
)),
Microsoft.ML.AutoML.Samples (3)
AutoFit\BinaryClassificationExperiment.cs (1)
70
Console.WriteLine($"PositivePrecision: {metrics.
PositivePrecision
}");
AutoMLExperiment.cs (1)
138
$"{metrics.
PositivePrecision
:F2}");
Sweepable\SweepableLightGBMBinaryExperiment.cs (1)
165
$"{metrics.
PositivePrecision
:F2}");
Microsoft.ML.Fairlearn (2)
Metrics\FairlearnMetricCatalog.cs (2)
103
result["PosPrec"] = DataFrameColumn.Create("PosPrec", groupMetric.Keys.Select(k => groupMetric[k].
PositivePrecision
));
122
{ "PosPrec", metrics.
PositivePrecision
},
Microsoft.ML.IntegrationTests (1)
Common.cs (1)
184
Assert.InRange(metrics.
PositivePrecision
, 0, 1);
Microsoft.ML.Predictor.Tests (1)
TestIniModels.cs (1)
592
Assert.Equal(0.95081967213114749, results.
PositivePrecision
);
Microsoft.ML.Samples (28)
Dynamic\Trainers\BinaryClassification\AveragedPerceptron.cs (1)
136
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\AveragedPerceptronWithOptions.cs (1)
147
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\FactorizationMachine.cs (1)
144
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\FastForest.cs (1)
139
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\FastForestWithOptions.cs (1)
151
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\FastTree.cs (1)
142
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\FastTreeWithOptions.cs (1)
154
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\FieldAwareFactorizationMachine.cs (1)
203
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\FieldAwareFactorizationMachineWithOptions.cs (1)
214
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\LbfgsLogisticRegression.cs (1)
139
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\LbfgsLogisticRegressionWithOptions.cs (1)
148
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\LdSvm.cs (1)
136
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\LdSvmWithOptions.cs (1)
145
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\LightGbm.cs (1)
139
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\LightGbmWithOptions.cs (1)
150
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\LinearSvm.cs (1)
136
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\LinearSvmWithOptions.cs (1)
145
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\PriorTrainer.cs (1)
136
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\SdcaLogisticRegression.cs (1)
144
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\SdcaLogisticRegressionWithOptions.cs (1)
156
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\SdcaNonCalibrated.cs (1)
143
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\SdcaNonCalibratedWithOptions.cs (1)
158
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\SgdCalibrated.cs (1)
136
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\SgdCalibratedWithOptions.cs (1)
148
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\SgdNonCalibrated.cs (1)
136
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\SgdNonCalibratedWithOptions.cs (1)
145
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\SymbolicSgdLogisticRegression.cs (1)
139
$"{metrics.
PositivePrecision
:F2}");
Dynamic\Trainers\BinaryClassification\SymbolicSgdLogisticRegressionWithOptions.cs (1)
148
$"{metrics.
PositivePrecision
:F2}");
Microsoft.ML.Transforms (4)
MetricStatistics.cs (2)
155
/// Summary statistics for <see cref="BinaryClassificationMetrics.
PositivePrecision
"/>.
204
PositivePrecision.Add(metrics.
PositivePrecision
);
PermutationFeatureImportanceExtensions.cs (2)
317
positivePrecision: a.
PositivePrecision
- b.
PositivePrecision
,