2 writes to MeanAbsoluteError
Microsoft.ML.Data (2)
Evaluators\Metrics\RegressionMetrics.cs (2)
72
MeanAbsoluteError
= Fetch(RegressionEvaluator.L1);
82
MeanAbsoluteError
= l1;
51 references to MeanAbsoluteError
Microsoft.ML.AutoML (5)
API\RegressionExperiment.cs (2)
55
/// See <see cref="RegressionMetrics.
MeanAbsoluteError
"/>.
476
RegressionMetric.MeanAbsoluteError => metrics.
MeanAbsoluteError
,
AutoMLExperiment\IMetricManager.cs (1)
137
RegressionMetric.MeanAbsoluteError => metric.
MeanAbsoluteError
,
Experiment\MetricsAgents\RegressionMetricsAgent.cs (1)
30
return metrics.
MeanAbsoluteError
;
Experiment\Runners\CrossValSummaryRunner.cs (1)
138
l1: GetAverageOfNonNaNScores(newMetrics.Select(x => x.
MeanAbsoluteError
)),
Microsoft.ML.AutoML.Samples (2)
AutoFit\RecommendationExperiment.cs (1)
86
Console.WriteLine($"MeanAbsoluteError: {metrics.
MeanAbsoluteError
}");
AutoFit\RegressionExperiment.cs (1)
70
Console.WriteLine($"MeanAbsoluteError: {metrics.
MeanAbsoluteError
}");
Microsoft.ML.Fairlearn (2)
Metrics\FairlearnMetricCatalog.cs (2)
238
result["MAE"] = DataFrameColumn.Create("MAE", groupMetric.Keys.Select(k => groupMetric[k].
MeanAbsoluteError
));
264
{ "MAE", metrics.
MeanAbsoluteError
}
Microsoft.ML.IntegrationTests (1)
Common.cs (1)
272
Assert.True(metrics.
MeanAbsoluteError
>= 0);
Microsoft.ML.Predictor.Tests (1)
TestIniModels.cs (1)
548
Assert.Equal(0.093256807643323947, results.
MeanAbsoluteError
);
Microsoft.ML.Samples (24)
Dynamic\Trainers\Recommendation\MatrixFactorization.cs (1)
127
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Recommendation\MatrixFactorizationWithOptions.cs (1)
151
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\FastForest.cs (1)
110
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\FastForestWithOptions.cs (1)
123
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\FastTree.cs (1)
110
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\FastTreeTweedie.cs (1)
110
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\FastTreeTweedieWithOptions.cs (1)
125
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\FastTreeWithOptions.cs (1)
126
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\Gam.cs (1)
110
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\GamWithOptions.cs (1)
121
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\LbfgsPoissonRegression.cs (1)
108
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\LbfgsPoissonRegressionWithOptions.cs (1)
122
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\LightGbm.cs (1)
111
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\LightGbmAdvanced.cs (1)
77
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\LightGbmWithOptions.cs (1)
130
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\LightGbmWithOptionsAdvanced.cs (1)
86
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\OnlineGradientDescent.cs (1)
99
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\OnlineGradientDescentWithOptions.cs (1)
115
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\OrdinaryLeastSquares.cs (1)
107
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\OrdinaryLeastSquaresAdvanced.cs (1)
78
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\OrdinaryLeastSquaresWithOptions.cs (1)
119
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\OrdinaryLeastSquaresWithOptionsAdvanced.cs (1)
82
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\Sdca.cs (1)
107
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Dynamic\Trainers\Regression\SdcaWithOptions.cs (1)
123
Console.WriteLine("Mean Absolute Error: " + metrics.
MeanAbsoluteError
);
Microsoft.ML.Tests (12)
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (12)
461
Assert.True(metrics.
MeanAbsoluteError
< 0.2);
499
Assert.True(metrics.
MeanAbsoluteError
< 0.25);
537
Assert.True(metrics.
MeanAbsoluteError
< 0.25);
575
Assert.True(metrics.
MeanAbsoluteError
< 0.25);
613
Assert.True(metrics.
MeanAbsoluteError
< 0.25);
630
Assert.Equal(metrics.
MeanAbsoluteError
, loadedMetrics.
MeanAbsoluteError
, 0.00001);
670
Assert.True(metrics.
MeanAbsoluteError
< 0.25);
690
Assert.Equal(metrics.
MeanAbsoluteError
, loadedMetrics.
MeanAbsoluteError
, 0.00001);
704
Assert.NotEqual(metrics.
MeanAbsoluteError
, secondMetrics.
MeanAbsoluteError
);
Microsoft.ML.Transforms (4)
MetricStatistics.cs (2)
91
/// Summary statistics for <see cref="RegressionMetrics.
MeanAbsoluteError
"/>.
130
MeanAbsoluteError.Add(metrics.
MeanAbsoluteError
);
PermutationFeatureImportanceExtensions.cs (2)
165
l1: a.
MeanAbsoluteError
- b.
MeanAbsoluteError
,