39 references to StandardError
Microsoft.ML.EntryPoints (21)
PermutationFeatureImportance.cs (21)
118
AreaUnderRocCurveStdErr = pMetric.AreaUnderRocCurve.
StandardError
,
120
AccuracyStdErr = pMetric.Accuracy.
StandardError
,
122
PositivePrecisionStdErr = pMetric.PositivePrecision.
StandardError
,
124
PositiveRecallStdErr = pMetric.PositiveRecall.
StandardError
,
126
NegativePrecisionStdErr = pMetric.NegativePrecision.
StandardError
,
128
NegativeRecallStdErr = pMetric.NegativeRecall.
StandardError
,
130
F1ScoreStdErr = pMetric.F1Score.
StandardError
,
132
AreaUnderPrecisionRecallCurveStdErr = pMetric.AreaUnderPrecisionRecallCurve.
StandardError
175
MacroAccuracyStdErr = pMetric.MacroAccuracy.
StandardError
,
177
MicroAccuracyStdErr = pMetric.MicroAccuracy.
StandardError
,
179
LogLossStdErr = pMetric.LogLoss.
StandardError
,
181
LogLossReductionStdErr = pMetric.LogLossReduction.
StandardError
,
183
TopKAccuracyStdErr = pMetric.TopKAccuracy.
StandardError
,
185
PerClassLogLossStdErr = pMetric.PerClassLogLoss.Select(x => x.
StandardError
).ToArray()
234
MeanAbsoluteErrorStdErr = pMetric.MeanAbsoluteError.
StandardError
,
236
MeanSquaredErrorStdErr = pMetric.MeanSquaredError.
StandardError
,
238
RootMeanSquaredErrorStdErr = pMetric.RootMeanSquaredError.
StandardError
,
240
LossFunctionStdErr = pMetric.LossFunction.
StandardError
,
242
RSquaredStdErr = pMetric.RSquared.
StandardError
288
DiscountedCumulativeGainsStdErr = pMetric.DiscountedCumulativeGains.Select(x => x.
StandardError
).ToArray(),
290
NormalizedDiscountedCumulativeGainsStdErr = pMetric.NormalizedDiscountedCumulativeGains.Select(x => x.
StandardError
).ToArray()
Microsoft.ML.IntegrationTests (1)
Common.cs (1)
284
Assert.True(metric.
StandardError
>= 0);
Microsoft.ML.Samples (8)
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportance.cs (1)
65
1.96 * auc[i].
StandardError
);
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
64
1.96 * auc[i].
StandardError
);
Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportance.cs (1)
69
1.96 * microAccuracy[i].
StandardError
);
Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
77
1.96 * microAccuracy[i].
StandardError
);
Dynamic\Trainers\Ranking\PermutationFeatureImportance.cs (1)
70
1.96 * ndcg[i][0].
StandardError
);
Dynamic\Trainers\Ranking\PermutationFeatureImportanceLoadFromDisk.cs (1)
77
1.96 * ndcg[i][0].
StandardError
);
Dynamic\Trainers\Regression\PermutationFeatureImportance.cs (1)
75
1.96 * rmse[i].
StandardError
);
Dynamic\Trainers\Regression\PermutationFeatureImportanceLoadFromDisk.cs (1)
82
1.96 * rmse[i].
StandardError
);
Microsoft.ML.Tests (9)
PermutationFeatureImportanceTests.cs (9)
241
Assert.Equal(3, MinDeltaIndex(pfi, m => m.MeanAbsoluteError.
StandardError
));
242
Assert.Equal(1, MaxDeltaIndex(pfi, m => m.MeanAbsoluteError.
StandardError
));
244
Assert.Equal(3, MinDeltaIndex(pfi, m => m.MeanSquaredError.
StandardError
));
245
Assert.Equal(1, MaxDeltaIndex(pfi, m => m.MeanSquaredError.
StandardError
));
247
Assert.Equal(3, MinDeltaIndex(pfi, m => m.RootMeanSquaredError.
StandardError
));
248
Assert.Equal(1, MaxDeltaIndex(pfi, m => m.RootMeanSquaredError.
StandardError
));
250
Assert.Equal(3, MinDeltaIndex(pfi, m => m.RSquared.
StandardError
));
251
Assert.Equal(1, MaxDeltaIndex(pfi, m => m.RSquared.
StandardError
));
254
Assert.Equal(pfi[0].RootMeanSquaredError.
StandardError
, pfi[0].RootMeanSquaredError.StandardDeviation / Math.Sqrt(pfi[0].RootMeanSquaredError.Count));