RoleMappedData

UnitTests\TestEntryPoints.cs (2)

1530var rmd = new RoleMappedData(splitOutput.TrainData[0], "Label", "Features"); 2015var rmd = new RoleMappedData(data, "Label", "Features");

Commands\CrossValidationCommand.cs (1)

282return new RoleMappedData(data, label, features, group, weight, name, customCols);

Commands\EvaluateCommand.cs (3)

166var data = new RoleMappedData(input, label, null, group, weight, null, customCols); 244var data = new RoleMappedData(view, label, null, group, weight, name, customCols); 256var perInstData = new RoleMappedData(perInst, label, null, group, weight, name, customCols);

Commands\TestCommand.cs (2)

121var data = new RoleMappedData(scorePipe, label, null, group, weight, name, customCols); 135var perInstData = new RoleMappedData(perInst, label, null, group, weight, name, customCols);

Commands\TrainCommand.cs (1)

163var data = new RoleMappedData(view, label, feature, group, weight, name, customCols);

Commands\TrainTestCommand.cs (3)

150var data = new RoleMappedData(trainPipe, label, features, group, weight, name, customCols); 210var dataEval = new RoleMappedData(scorePipe, label, features, 225var perInstData = new RoleMappedData(perInst, label, null, group, weight, name, customCols);

DataView\DataViewConstructionUtils.cs (1)

134: env.CreateDefaultScorer(new RoleMappedData(pipe, label: null, "Features"), predictor);

EntryPoints\InputBase.cs (1)

86var roleMappedData = new RoleMappedData(view, label, feature, group, weight, name, custom);

Evaluators\AnomalyDetectionEvaluator.cs (1)

826var data = new RoleMappedData(input.Data, label, null, null, weight, name);

Evaluators\BinaryClassifierEvaluator.cs (1)

1515var data = new RoleMappedData(input.Data, label, null, null, weight, name);

Evaluators\ClusteringEvaluator.cs (1)

871var data = new RoleMappedData(input.Data, label, features, null, weight, name);

Evaluators\MulticlassClassificationEvaluator.cs (1)

1100var data = new RoleMappedData(input.Data, label, null, null, weight, name);

Evaluators\MultiOutputRegressionEvaluator.cs (1)

786var data = new RoleMappedData(input.Data, label, null, null, weight, name);

Evaluators\QuantileRegressionEvaluator.cs (1)

571var data = new RoleMappedData(input.Data, label, null, null, weight, name);

Evaluators\RankingEvaluator.cs (1)

1097var data = new RoleMappedData(input.Data, label, null, groupId, weight, name);

Evaluators\RegressionEvaluator.cs (1)

398var data = new RoleMappedData(input.Data, label, null, null, weight, name);

Model\Pfa\SavePfaCommand.cs (1)

155data = new RoleMappedData(end, DefaultColumnNames.Label,

Training\TrainerEstimatorBase.cs (2)

166new RoleMappedData(data, label: LabelColumn.Name, feature: FeatureColumn.Name, weight: WeightColumn.Name); 198new RoleMappedData(data, label: LabelColumn.Name, feature: FeatureColumn.Name, group: GroupIdColumn.Name, weight: WeightColumn.Name);

Transforms\TrainAndScoreTransformer.cs (1)

272return new RoleMappedData(input, label, feat, group, weight, name, customCols);

Utilities\ComponentCreation.cs (1)

57return new RoleMappedData(data, label, features, group, weight, name: null, custom: custom);

ModelOperations.cs (1)

153var data = new RoleMappedData(normalizedView, label, feature, null, weight);

OneVersusAllMacro.cs (1)

131var data = new RoleMappedData(input.TrainingData, label, feature, null, weight);

KMeansPlusPlusTrainer.cs (1)

977new RoleMappedData(arrDv.GetDataView(), null, DefaultColumnNames.Features, weight: DefaultColumnNames.Weight), CursOpt.Weight | CursOpt.Features);

SaveOnnxCommand.cs (1)

347data = new RoleMappedData(end, DefaultColumnNames.Label,

TestPredictors.cs (2)

673var data = new RoleMappedData(idv, label: null, feature: "Features"); 843var data = new RoleMappedData(idv, label: null, feature: "Features");

Standard\MulticlassClassification\OneVersusAllTrainer.cs (1)

179var trainedData = new RoleMappedData(view, label: trainerLabel, feature: transformer.FeatureColumnName);

Standard\MulticlassClassification\PairwiseCouplingTrainer.cs (1)

155var trainedData = new RoleMappedData(view, label: trainerLabel, feature: transformer.FeatureColumnName);

Standard\Simple\SimpleTrainers.cs (1)

245RoleMappedData trainRoles = new RoleMappedData(input, label: _labelColumnName, feature: null, weight: _weightColumnName);

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

43var trainRoles = new RoleMappedData(trainData, label: "Label", feature: "Features");

AdaptiveSingularSpectrumSequenceModeler.cs (2)

1532public void Train(IDataView dataView, string inputColumnName) => Train(new RoleMappedData(dataView, null, inputColumnName)); 1556var data = new RoleMappedData(dataView, null, inputColumnName);

SsaChangePointDetector.cs (1)

106InternalTransform.Model.Train(new RoleMappedData(input, null, InternalTransform.InputColumnName));

SSaForecasting.cs (1)

131InternalTransform.Model.Train(new RoleMappedData(input, null, InternalTransform.InputColumnName));

SsaSpikeDetector.cs (1)

103InternalTransform.Model.Train(new RoleMappedData(input, null, InternalTransform.InputColumnName));

LearnerFeatureSelection.cs (1)

292var data = new RoleMappedData(view, label, feature, group, weight, name, customCols);