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