61 references to Evaluate
Microsoft.ML.AutoML (3)
API\MulticlassClassificationExperiment.cs (1)
403var metrics = _context.MulticlassClassification.Evaluate(eval, metricManager.LabelColumn, predictedLabelColumnName: metricManager.PredictedColumn);
AutoMLExperiment\IMetricManager.cs (1)
95var metric = context.MulticlassClassification.Evaluate(eval, labelColumnName: LabelColumn, predictedLabelColumnName: PredictedColumn);
Experiment\MetricsAgents\MultiMetricsAgent.cs (1)
71return _mlContext.MulticlassClassification.Evaluate(data, labelColumn);
Microsoft.ML.AutoML.Samples (1)
AutoFit\MulticlassClassificationExperiment.cs (1)
40MulticlassClassificationMetrics testMetrics = mlContext.MulticlassClassification.Evaluate(testDataViewWithBestScore, labelColumnName: LabelColumnName);
Microsoft.ML.AutoML.Tests (1)
Utils\TaskAgnosticAutoFit.cs (1)
143var classificationMetrics = _context.MulticlassClassification.Evaluate(result.ScoredTestData, labelColumnName: label);
Microsoft.ML.Data (1)
TrainCatalog.cs (1)
560Evaluate(x.Scores, labelColumnName), x.Scores, x.Fold)).ToArray();
Microsoft.ML.IntegrationTests (3)
Evaluation.cs (1)
162var metrics = mlContext.MulticlassClassification.Evaluate(scoredData);
Training.cs (2)
467var binaryClassificationMetrics = mlContext.MulticlassClassification.Evaluate(binaryClassificationPredictions); 499var binaryClassificationMetrics = mlContext.MulticlassClassification.Evaluate(binaryClassificationPredictions);
Microsoft.ML.Samples (16)
Dynamic\Trainers\MulticlassClassification\ImageClassification\ImageClassificationDefault.cs (1)
160var metrics = mlContext.MulticlassClassification.Evaluate(predictions);
Dynamic\Trainers\MulticlassClassification\ImageClassification\LearningRateSchedulingCifarResnetTransferLearning.cs (1)
186var metrics = mlContext.MulticlassClassification.Evaluate(predictions);
Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (1)
184var metrics = mlContext.MulticlassClassification.Evaluate(predictions);
Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (1)
169var metrics = mlContext.MulticlassClassification.Evaluate(predictions);
Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropy.cs (1)
65.Evaluate(transformedTestData);
Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropyWithOptions.cs (1)
73.Evaluate(transformedTestData);
Dynamic\Trainers\MulticlassClassification\LightGbm.cs (1)
68.Evaluate(transformedTestData);
Dynamic\Trainers\MulticlassClassification\LightGbmWithOptions.cs (1)
78.Evaluate(transformedTestData);
Dynamic\Trainers\MulticlassClassification\LogLossPerClass.cs (1)
48.Evaluate(transformedTestData);
Dynamic\Trainers\MulticlassClassification\NaiveBayes.cs (1)
71.Evaluate(transformedTestData);
Dynamic\Trainers\MulticlassClassification\OneVersusAll.cs (1)
66.Evaluate(transformedTestData);
Dynamic\Trainers\MulticlassClassification\PairwiseCoupling.cs (1)
66.Evaluate(transformedTestData);
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropy.cs (1)
73.Evaluate(transformedTestData);
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropyWithOptions.cs (1)
82.Evaluate(transformedTestData);
Dynamic\Trainers\MulticlassClassification\SdcaNonCalibrated.cs (1)
73.Evaluate(transformedTestData);
Dynamic\Trainers\MulticlassClassification\SdcaNonCalibratedWithOptions.cs (1)
82.Evaluate(transformedTestData);
Microsoft.ML.Samples.GPU (4)
docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ImageClassificationDefault.cs (1)
160var metrics = mlContext.MulticlassClassification.Evaluate(predictions);
docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\LearningRateSchedulingCifarResnetTransferLearning.cs (1)
186var metrics = mlContext.MulticlassClassification.Evaluate(predictions);
docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (1)
184var metrics = mlContext.MulticlassClassification.Evaluate(predictions);
docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (1)
169var metrics = mlContext.MulticlassClassification.Evaluate(predictions);
Microsoft.ML.TensorFlow.Tests (10)
TensorflowTests.cs (10)
161var metrics = _mlContext.MulticlassClassification.Evaluate(predictions); 675var metrics = _mlContext.MulticlassClassification.Evaluate(predicted); 851var metrics = _mlContext.MulticlassClassification.Evaluate(predicted); 899var metrics = _mlContext.MulticlassClassification.Evaluate(predicted); 1172var metrics = _mlContext.MulticlassClassification.Evaluate(transformedData); 1434var metrics = _mlContext.MulticlassClassification.Evaluate(predictions); 1537var metrics = _mlContext.MulticlassClassification.Evaluate(predictions); 1696var metrics = _mlContext.MulticlassClassification.Evaluate(predictions); 1826var metrics = _mlContext.MulticlassClassification.Evaluate(predictions); 1897var metrics = _mlContext.MulticlassClassification.Evaluate(predictions);
Microsoft.ML.Tests (18)
EvaluateTests.cs (2)
48var metrics = mlContext.MulticlassClassification.Evaluate(inputDV, topKPredictionCount: 4); 65var metrics2 = mlContext.MulticlassClassification.Evaluate(inputDV2, topKPredictionCount: 4);
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (1)
660var metrics = mlContext.MulticlassClassification.Evaluate(model.Transform(split.TestSet, TransformerScope.Everything));
Scenarios\Api\Estimators\PredictAndMetadata.cs (2)
89var metrics = mlContext.MulticlassClassification.Evaluate(scoredData); 123var metrics2 = mlContext.MulticlassClassification.Evaluate(scoredData2);
Scenarios\IrisPlantClassificationTests.cs (1)
88var metrics = mlContext.MulticlassClassification.Evaluate(predicted, topKPredictionCount: 3);
Scenarios\IrisPlantClassificationWithStringLabelTests.cs (1)
90var metrics = mlContext.MulticlassClassification.Evaluate(predicted, topKPredictionCount: 3);
Scenarios\OvaTest.cs (4)
43var metrics = mlContext.MulticlassClassification.Evaluate(predictions); 79var metrics = mlContext.MulticlassClassification.Evaluate(predictions); 114var metrics = mlContext.MulticlassClassification.Evaluate(predictions); 148var metrics = mlContext.MulticlassClassification.Evaluate(predictions);
ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (1)
48var metrics = mlContext.MulticlassClassification.Evaluate(predicted);
TrainerEstimators\SdcaTests.cs (4)
189var metrics1 = mlContext.MulticlassClassification.Evaluate(prediction1, labelColumnName: "LabelIndex", topKPredictionCount: 1); 190var metrics2 = mlContext.MulticlassClassification.Evaluate(prediction2, labelColumnName: "LabelIndex", topKPredictionCount: 1); 285var metrics = mlContext.MulticlassClassification.Evaluate(prediction, labelColumnName: "LabelIndex", topKPredictionCount: 1); 319var metrics = mlContext.MulticlassClassification.Evaluate(prediction, labelColumnName: "LabelIndex", topKPredictionCount: 1);
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (1)
811var metrics = ML.MulticlassClassification.Evaluate(prediction, labelColumnName: "KeyLabel");
TrainerEstimators\TreeEstimators.cs (1)
784var metrics = ML.MulticlassClassification.Evaluate(model.Transform(dataView));
Microsoft.ML.TorchSharp.Tests (2)
TextClassificationTests.cs (2)
156var metrics = ML.MulticlassClassification.Evaluate(transformer.Transform(dataView, TransformerScope.Everything), predictedLabelColumnName: "outputColumn"); 182var metrics = mlContext.MulticlassClassification.Evaluate(predictionIdv);
Microsoft.ML.Transforms (2)
PermutationFeatureImportanceExtensions.cs (2)
383idv => catalog.Evaluate(idv, labelColumnName), 450MulticlassClassificationMetrics evaluationFunc(IDataView idv) => catalog.Evaluate(idv, labelColumnName);