MulticlassClassification

1 write to MulticlassClassification

Microsoft.ML.Data (1)

MLContext.cs (1)

151MulticlassClassification = new MulticlassClassificationCatalog(_env);

229 references to MulticlassClassification

Microsoft.ML.AutoML (27)

API\MulticlassClassificationExperiment.cs (2)

373var metrics = _context.MulticlassClassification.CrossValidate(datasetManager.Dataset, pipeline, fold, metricManager.LabelColumn); 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);

SweepableEstimator\Estimators\FastForest.cs (1)

24return context.MulticlassClassification.Trainers.OneVersusAll(context.BinaryClassification.Trainers.FastForest(option), labelColumnName: param.LabelColumnName);

SweepableEstimator\Estimators\FastTree.cs (1)

28return context.MulticlassClassification.Trainers.OneVersusAll(context.BinaryClassification.Trainers.FastTree(option), labelColumnName: param.LabelColumnName);

SweepableEstimator\Estimators\Images.cs (1)

54return context.MulticlassClassification.Trainers.ImageClassification(option);

SweepableEstimator\Estimators\Lbfgs.cs (2)

23return context.MulticlassClassification.Trainers.LbfgsMaximumEntropy(option); 78return context.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, param.LabelColumnName);

SweepableEstimator\Estimators\LightGbm.cs (1)

33return context.MulticlassClassification.Trainers.LightGbm(option);

SweepableEstimator\Estimators\NamedEntityRecognitionMulti.cs (1)

17return context.MulticlassClassification.Trainers.NamedEntityRecognition(

SweepableEstimator\Estimators\ObjectDetection.cs (1)

32return context.MulticlassClassification.Trainers.ObjectDetection(option);

SweepableEstimator\Estimators\QuestionAnswering.cs (1)

14return context.MulticlassClassification.Trainers.QuestionAnswer(

SweepableEstimator\Estimators\Sdca.cs (2)

41return context.MulticlassClassification.Trainers.SdcaMaximumEntropy(option); 78return context.MulticlassClassification.Trainers.OneVersusAll(binaryEstimator: binaryTrainer, labelColumnName: param.LabelColumnName);

SweepableEstimator\Estimators\TextClassification.cs (1)

17return context.MulticlassClassification.Trainers.TextClassification(

TrainerExtensions\MultiTrainerExtensions.cs (11)

29return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 51return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 71return mlContext.MulticlassClassification.Trainers.LightGbm(options); 94return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 114return mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy(options); 137return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 159return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 181return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 203return mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryTrainer, labelColumnName: columnInfo.LabelColumnName); 224return mlContext.MulticlassClassification.Trainers.LbfgsMaximumEntropy(options); 242return mlContext.MulticlassClassification.Trainers.ImageClassification(options);

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.Core.Tests (1)

UnitTests\TestEntryPoints.cs (1)

2054var mlr = ML.MulticlassClassification.Trainers.LbfgsMaximumEntropy();

Microsoft.ML.IntegrationTests (8)

Evaluation.cs (2)

154.Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy( 162var metrics = mlContext.MulticlassClassification.Evaluate(scoredData);

IntrospectiveTraining.cs (1)

433.Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy(

Training.cs (5)

270var trainer = mlContext.MulticlassClassification.Trainers.LbfgsMaximumEntropy( 458.Append(mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryClassificationTrainer)); 467var binaryClassificationMetrics = mlContext.MulticlassClassification.Evaluate(binaryClassificationPredictions); 489.Append(mlContext.MulticlassClassification.Trainers.OneVersusAll(binaryClassificationTrainer)) 499var binaryClassificationMetrics = mlContext.MulticlassClassification.Evaluate(binaryClassificationPredictions);

Microsoft.ML.OnnxTransformerTest (1)

DnnImageFeaturizerTest.cs (1)

230var trainer = ML.MulticlassClassification.Trainers.OneVersusAll(ML.BinaryClassification.Trainers.AveragedPerceptron(labelColumnName: "Label", numberOfIterations: 10, featureColumnName: "Features"), labelColumnName: "Label")

Microsoft.ML.PerformanceTests (6)

ImageClassificationBench.cs (1)

91var pipeline = _mlContext.MulticlassClassification.Trainers.ImageClassification(options)

PredictionEngineBench.cs (1)

59.Append(env.MulticlassClassification.Trainers.SdcaMaximumEntropy(

RffTransform.cs (2)

49.Append(mlContext.MulticlassClassification.Trainers.OneVersusAll(mlContext.BinaryClassification.Trainers.AveragedPerceptron(numberOfIterations: 10))); 51var cvResults = mlContext.MulticlassClassification.CrossValidate(data, pipeline, numberOfFolds: 5);

StochasticDualCoordinateAscentClassifierBench.cs (2)

80.Append(_mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy()); 118var trainer = _mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy();

Microsoft.ML.Samples (37)

Dynamic\Trainers\MulticlassClassification\ImageClassification\ImageClassificationDefault.cs (2)

66var pipeline = mlContext.MulticlassClassification.Trainers 160var metrics = mlContext.MulticlassClassification.Evaluate(predictions);

Dynamic\Trainers\MulticlassClassification\ImageClassification\LearningRateSchedulingCifarResnetTransferLearning.cs (2)

102var pipeline = mlContext.MulticlassClassification.Trainers. 186var metrics = mlContext.MulticlassClassification.Evaluate(predictions);

Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (2)

93.Append(mlContext.MulticlassClassification.Trainers. 184var metrics = mlContext.MulticlassClassification.Evaluate(predictions);

Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (2)

82var pipeline = mlContext.MulticlassClassification.Trainers. 169var metrics = mlContext.MulticlassClassification.Evaluate(predictions);

Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropy.cs (2)

32.Append(mlContext.MulticlassClassification.Trainers 64var metrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropyWithOptions.cs (2)

40.Append(mlContext.MulticlassClassification.Trainers 72var metrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\LightGbm.cs (2)

35.Append(mlContext.MulticlassClassification.Trainers 67var metrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\LightGbmWithOptions.cs (2)

45.Append(mlContext.MulticlassClassification.Trainers 77var metrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\LogLossPerClass.cs (2)

32.Append(mlContext.MulticlassClassification.Trainers 47var metrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\NaiveBayes.cs (2)

38.Append(mlContext.MulticlassClassification.Trainers 70var metrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\OneVersusAll.cs (2)

32.Append(mlContext.MulticlassClassification.Trainers 65var metrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\PairwiseCoupling.cs (2)

32.Append(mlContext.MulticlassClassification.Trainers 65var metrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportance.cs (2)

32.Append(mlContext.MulticlassClassification.Trainers 46var permutationMetrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportanceLoadFromDisk.cs (2)

35.Append(mlContext.MulticlassClassification.Trainers 54var permutationMetrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropy.cs (2)

40.Append(mlContext.MulticlassClassification.Trainers 72var metrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropyWithOptions.cs (2)

49.Append(mlContext.MulticlassClassification.Trainers 81var metrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\SdcaNonCalibrated.cs (2)

40.Append(mlContext.MulticlassClassification.Trainers 72var metrics = mlContext.MulticlassClassification

Dynamic\Trainers\MulticlassClassification\SdcaNonCalibratedWithOptions.cs (2)

49.Append(mlContext.MulticlassClassification.Trainers 81var metrics = mlContext.MulticlassClassification

Dynamic\Transforms\Conversion\MapKeyToValueMultiColumn.cs (1)

34.Append(mlContext.MulticlassClassification.Trainers.

Microsoft.ML.Samples.GPU (8)

parent\6a273e5f1a281752\LearningRateSchedulingCifarResnetTransferLearning.cs (2)

102var pipeline = mlContext.MulticlassClassification.Trainers. 186var metrics = mlContext.MulticlassClassification.Evaluate(predictions);

parent\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ImageClassificationDefault.cs (2)

66var pipeline = mlContext.MulticlassClassification.Trainers 160var metrics = mlContext.MulticlassClassification.Evaluate(predictions);

parent\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (2)

93.Append(mlContext.MulticlassClassification.Trainers. 184var metrics = mlContext.MulticlassClassification.Evaluate(predictions);

parent\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (2)

82var pipeline = mlContext.MulticlassClassification.Trainers. 169var metrics = mlContext.MulticlassClassification.Evaluate(predictions);

Microsoft.ML.TensorFlow.Tests (24)

TensorflowTests.cs (24)

141.Append(_mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy()); 147var metrics = _mlContext.MulticlassClassification.Evaluate(predictions); 658.Append(_mlContext.MulticlassClassification.Trainers.LightGbm("Label", "Features")); 662var metrics = _mlContext.MulticlassClassification.Evaluate(predicted); 712.Append(_mlContext.MulticlassClassification.Trainers.LightGbm("KeyLabel", "Features")); 716var metrics = _mlContext.MulticlassClassification.Evaluate(predicted, labelColumnName: "KeyLabel"); 828.Append(_mlContext.MulticlassClassification.Trainers.LightGbm(new Trainers.LightGbm.LightGbmMulticlassTrainer.Options() 838var metrics = _mlContext.MulticlassClassification.Evaluate(predicted); 883.Append(_mlContext.MulticlassClassification.Trainers.LightGbm("Label", "Features")); 887var metrics = _mlContext.MulticlassClassification.Evaluate(predicted); 1108.Append(_mlContext.MulticlassClassification.Trainers.NaiveBayes("Label", "Output")); 1110var cross = _mlContext.MulticlassClassification.CrossValidate(dataView, pipeline, 2); 1154.Append(_mlContext.MulticlassClassification.Trainers.NaiveBayes()); 1161var metrics = _mlContext.MulticlassClassification.Evaluate(transformedData); 1411.Append(_mlContext.MulticlassClassification.Trainers.ImageClassification("Label", "Image") 1426var metrics = _mlContext.MulticlassClassification.Evaluate(predictions); 1514.Append(_mlContext.MulticlassClassification.Trainers.ImageClassification(options) 1529var metrics = _mlContext.MulticlassClassification.Evaluate(predictions); 1672.Append(_mlContext.MulticlassClassification.Trainers.ImageClassification(options)) 1688var metrics = _mlContext.MulticlassClassification.Evaluate(predictions); 1806.Append(_mlContext.MulticlassClassification.Trainers.ImageClassification(options)); 1818var metrics = _mlContext.MulticlassClassification.Evaluate(predictions); 1877var pipeline = _mlContext.MulticlassClassification.Trainers.ImageClassification(options); 1889var metrics = _mlContext.MulticlassClassification.Evaluate(predictions);

Microsoft.ML.Tests (101)

DatabaseLoaderTests.cs (5)

130.Append(mlContext.MulticlassClassification.Trainers.LightGbm()) 166.Append(mlContext.MulticlassClassification.Trainers.LightGbm()) 202.Append(mlContext.MulticlassClassification.Trainers.LightGbm()) 234.Append(mlContext.MulticlassClassification.Trainers.LightGbm()) 266.Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy())

EvaluateTests.cs (2)

96var metrics = mlContext.MulticlassClassification.Evaluate(inputDV, topKPredictionCount: 4); 113var metrics2 = mlContext.MulticlassClassification.Evaluate(inputDV2, topKPredictionCount: 4);

OnnxConversionTest.cs (28)

631Append(mlContext.MulticlassClassification.Trainers.LbfgsMaximumEntropy(new LbfgsMaximumEntropyMulticlassTrainer.Options() { NumberOfThreads = 1 })); 1651mlContext.MulticlassClassification.Trainers.LbfgsMaximumEntropy(), 1652mlContext.MulticlassClassification.Trainers.NaiveBayes(), 1653mlContext.MulticlassClassification.Trainers.OneVersusAll( 1655mlContext.MulticlassClassification.Trainers.OneVersusAll( 1657mlContext.MulticlassClassification.Trainers.OneVersusAll( 1659mlContext.MulticlassClassification.Trainers.OneVersusAll( 1661mlContext.MulticlassClassification.Trainers.OneVersusAll( 1663mlContext.MulticlassClassification.Trainers.OneVersusAll( 1665mlContext.MulticlassClassification.Trainers.OneVersusAll( 1667mlContext.MulticlassClassification.Trainers.OneVersusAll( 1669mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy(), 1670mlContext.MulticlassClassification.Trainers.SdcaNonCalibrated() 1675estimators.Add(mlContext.MulticlassClassification.Trainers.LightGbm()); 1676estimators.Add(mlContext.MulticlassClassification.Trainers.LightGbm( 1978mlContext.MulticlassClassification.Trainers.LbfgsMaximumEntropy("Label", "MyFeatureVector"), 1979mlContext.MulticlassClassification.Trainers.NaiveBayes("Label", "MyFeatureVector"), 1980mlContext.MulticlassClassification.Trainers.OneVersusAll( 1982mlContext.MulticlassClassification.Trainers.OneVersusAll( 1984mlContext.MulticlassClassification.Trainers.OneVersusAll( 1986mlContext.MulticlassClassification.Trainers.OneVersusAll( 1988mlContext.MulticlassClassification.Trainers.OneVersusAll( 1990mlContext.MulticlassClassification.Trainers.OneVersusAll( 1992mlContext.MulticlassClassification.Trainers.OneVersusAll( 1994mlContext.MulticlassClassification.Trainers.OneVersusAll( 1996mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy("Label", "MyFeatureVector"), 1997mlContext.MulticlassClassification.Trainers.SdcaNonCalibrated("Label", "MyFeatureVector") 2002estimators.Add(mlContext.MulticlassClassification.Trainers.LightGbm("Label", "MyFeatureVector"));

PermutationFeatureImportanceTests.cs (10)

525var model = ML.MulticlassClassification.Trainers.LbfgsMaximumEntropy().Fit(data); 542pfi = ML.MulticlassClassification.PermutationFeatureImportance(castedModel, data); 543pfiDict = ml2.MulticlassClassification.PermutationFeatureImportance(loadedModel, data); 551pfi = ML.MulticlassClassification.PermutationFeatureImportance(model, data); 552pfiDict = ml2.MulticlassClassification.PermutationFeatureImportance((ITransformer)model, data); 597var model = ML.MulticlassClassification.Trainers.LbfgsMaximumEntropy( 615pfi = ML.MulticlassClassification.PermutationFeatureImportance(castedModel, data); 616pfiDict = ml2.MulticlassClassification.PermutationFeatureImportance(loadedModel, data); 624pfi = ML.MulticlassClassification.PermutationFeatureImportance(model, data); 625pfiDict = ml2.MulticlassClassification.PermutationFeatureImportance((ITransformer)model, data);

Scenarios\Api\CookbookSamples\CookbookSamples.cs (4)

235.Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy()); 651.Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy()); 659var metrics = mlContext.MulticlassClassification.Evaluate(model.Transform(split.TestSet, TransformerScope.Everything)); 663var cvResults = mlContext.MulticlassClassification.CrossValidate(data, pipeline, numberOfFolds: 5);

Scenarios\Api\Estimators\DecomposableTrainAndPredict.cs (1)

35.Append(ml.MulticlassClassification.Trainers.SdcaMaximumEntropy(

Scenarios\Api\Estimators\Extensibility.cs (1)

44.Append(ml.MulticlassClassification.Trainers.SdcaMaximumEntropy(

Scenarios\Api\Estimators\PredictAndMetadata.cs (5)

33.Append(ml.MulticlassClassification.Trainers.SdcaMaximumEntropy( 82.Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy( 89var metrics = mlContext.MulticlassClassification.Evaluate(scoredData); 116.Append(mlContext.MulticlassClassification.Trainers.OneVersusAll(singleTrainer)); 123var metrics2 = mlContext.MulticlassClassification.Evaluate(scoredData2);

Scenarios\IrisPlantClassificationTests.cs (2)

36.Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy( 88var metrics = mlContext.MulticlassClassification.Evaluate(predicted, topKPredictionCount: 3);

Scenarios\IrisPlantClassificationWithStringLabelTests.cs (2)

40.Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy( 90var metrics = mlContext.MulticlassClassification.Evaluate(predicted, topKPredictionCount: 3);

Scenarios\OvaTest.cs (8)

37var pipeline = mlContext.MulticlassClassification.Trainers.OneVersusAll(logReg, useProbabilities: false); 43var metrics = mlContext.MulticlassClassification.Evaluate(predictions); 73var pipeline = mlContext.MulticlassClassification.Trainers.OneVersusAll(ap, useProbabilities: false); 79var metrics = mlContext.MulticlassClassification.Evaluate(predictions); 106var pipeline = mlContext.MulticlassClassification.Trainers.OneVersusAll( 114var metrics = mlContext.MulticlassClassification.Evaluate(predictions); 140var pipeline = mlContext.MulticlassClassification.Trainers.OneVersusAll( 148var metrics = mlContext.MulticlassClassification.Evaluate(predictions);

ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (2)

34.Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy( 48var metrics = mlContext.MulticlassClassification.Evaluate(predicted);

TrainerEstimators\LbfgsTests.cs (3)

36var trainer = ML.MulticlassClassification.Trainers.LbfgsMaximumEntropy(); 166var trainer = ML.MulticlassClassification.Trainers.LbfgsMaximumEntropy(); 185var trainer = ML.MulticlassClassification.Trainers.LbfgsMaximumEntropy(new LbfgsMaximumEntropyMulticlassTrainer.Options

TrainerEstimators\MetalinearEstimators.cs (4)

29var ova = ML.MulticlassClassification.Trainers.OneVersusAll(averagePerceptron, imputeMissingLabelsAsNegative: true, 49pipeline = pipeline.Append(ML.MulticlassClassification.Trainers.OneVersusAll(sdcaTrainer, useProbabilities: false)) 67pipeline = pipeline.Append(ML.MulticlassClassification.Trainers.PairwiseCoupling(sdcaTrainer)) 99.Append(ML.MulticlassClassification.Trainers.OneVersusAll(sdcaTrainer))

TrainerEstimators\SdcaTests.cs (10)

45var mcTrainer = ML.MulticlassClassification.Trainers.SdcaMaximumEntropy( 49var mcTrainerNonCalibrated = ML.MulticlassClassification.Trainers.SdcaNonCalibrated( 220Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy( 224Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy( 234var metrics1 = mlContext.MulticlassClassification.Evaluate(prediction1, labelColumnName: "LabelIndex", topKPredictionCount: 1); 235var metrics2 = mlContext.MulticlassClassification.Evaluate(prediction2, labelColumnName: "LabelIndex", topKPredictionCount: 1); 323Append(mlContext.MulticlassClassification.Trainers.SdcaMaximumEntropy(labelColumnName: "LabelIndex", featureColumnName: "Features", l2Regularization: 0.001f)); 330var metrics = mlContext.MulticlassClassification.Evaluate(prediction, labelColumnName: "LabelIndex", topKPredictionCount: 1); 357Append(mlContext.MulticlassClassification.Trainers.SdcaNonCalibrated(labelColumnName: "LabelIndex", featureColumnName: "Features", lossFunction: new HingeLoss(), l2Regularization: 0.001f)); 364var metrics = mlContext.MulticlassClassification.Evaluate(prediction, labelColumnName: "LabelIndex", topKPredictionCount: 1);

TrainerEstimators\TrainerEstimators.cs (1)

155pipe = pipe.Append(ML.MulticlassClassification.Trainers.NaiveBayes("Label", "Features"));

TrainerEstimators\TreeEnsembleFeaturizerTest.cs (2)

807.Append(ML.MulticlassClassification.Trainers.SdcaMaximumEntropy("KeyLabel", "CombinedFeatures")); 811var metrics = ML.MulticlassClassification.Evaluate(prediction, labelColumnName: "KeyLabel");

TrainerEstimators\TreeEstimators.cs (11)

380var trainer = ML.MulticlassClassification.Trainers.LightGbm(learningRate: 0.4); 397var trainer = ML.MulticlassClassification.Trainers.LightGbm(fStream); 420var trainer = ML.MulticlassClassification.Trainers.LightGbm(options); 436var trainer = ML.MulticlassClassification.Trainers.LightGbm(new LightGbmMulticlassTrainer.Options 461var trainer = ML.MulticlassClassification.Trainers.LightGbm(new LightGbmMulticlassTrainer.Options 480var trainer = ML.MulticlassClassification.Trainers.LightGbm(new LightGbmMulticlassTrainer.Options 818.Append(mlContext.MulticlassClassification.Trainers 851var trainer = ML.MulticlassClassification.Trainers.LightGbm(learningRate: 0.4); 855var metrics = ML.MulticlassClassification.Evaluate(model.Transform(dataView)); 1098var estimator = pipeline.Append(context.MulticlassClassification.Trainers.OneVersusAll(context.BinaryClassification.Trainers.FastTree())); 1181var trainer = pipeline.Append(context.MulticlassClassification.Trainers.LightGbm(

Microsoft.ML.TorchSharp.Tests (14)

NerTests.cs (3)

71.Append(ML.MulticlassClassification.Trainers.NamedEntityRecognition(outputColumnName: "outputColumn")) 150.Append(ML.MulticlassClassification.Trainers.NamedEntityRecognition(options)) 224.Append(ML.MulticlassClassification.Trainers.NamedEntityRecognition(options))

ObjectDetectionTests.cs (3)

51.Append(ML.MulticlassClassification.Trainers.ObjectDetection("Labels", boundingBoxColumnName: "Box", maxEpoch: 1)) 68.Append(ML.MulticlassClassification.Trainers.ObjectDetection(options)) 84var metrics = ML.MulticlassClassification.EvaluateObjectDetection(idv, idv.Schema[2], idv.Schema["Box"], idv.Schema["PredictedLabel"], idv.Schema["PredictedBoundingBoxes"], idv.Schema["Score"]);

QATests.cs (2)

43var estimator = chain.Append(ML.MulticlassClassification.Trainers.QuestionAnswer(maxEpochs: 1)); 87var estimator = ML.MulticlassClassification.Trainers.QuestionAnswer(maxEpochs: 30);

TextClassificationTests.cs (6)

99.Append(ML.MulticlassClassification.Trainers.TextClassification(outputColumnName: "outputColumn")) 156var metrics = ML.MulticlassClassification.Evaluate(transformer.Transform(dataView, TransformerScope.Everything), predictedLabelColumnName: "outputColumn"); 178.Append(mlContext.MulticlassClassification.Trainers.TextClassification(sentence1ColumnName: "Title", sentence2ColumnName: "Description", maxEpochs: 10, batchSize: 8)) 182var metrics = mlContext.MulticlassClassification.Evaluate(predictionIdv); 236.Append(ML.MulticlassClassification.Trainers.TextClassification(outputColumnName: "outputColumn")) 320var estimator = ML.MulticlassClassification.Trainers.TextClassification(outputColumnName: "outputColumn", sentence1ColumnName: "Sentence", sentence2ColumnName: "Sentence2", validationSet: preppedData)