35 references to RoleMappedData
Microsoft.ML.Data (17)
Commands\CrossValidationCommand.cs (4)
259return new RoleMappedData(pipe, srcData.Schema.GetColumnRoleNames()); 541var rmd = new RoleMappedData( 555var dataEval = new RoleMappedData(scorePipe, testData.Schema.GetColumnRoleNames(), opt: true); 562perInstance = new RoleMappedData(perInst, dataEval.Schema.GetColumnRoleNames(), opt: true);
Commands\TrainCommand.cs (3)
178validData = new RoleMappedData(validPipe, data.Schema.GetColumnRoleNames()); 196testDataUsedInTrainer = new RoleMappedData(testPipeUsedInTrainer, data.Schema.GetColumnRoleNames()); 506data = new RoleMappedData(cacheView, data.Schema.GetColumnRoleNames());
Commands\TrainTestCommand.cs (2)
164validData = new RoleMappedData(validPipe, data.Schema.GetColumnRoleNames()); 182testDataUsedInTrainer = new RoleMappedData(testPipeUsedInTrainer, data.Schema.GetColumnRoleNames());
DataView\DataViewConstructionUtils.cs (1)
133? env.CreateDefaultScorer(new RoleMappedData(pipe, roles, opt: true), predictor)
EntryPoints\InputBase.cs (1)
116cachedRoleMappedData = new RoleMappedData(outputData, roleMappedData.Schema.GetColumnRoleNames());
EntryPoints\PredictorModelImpl.cs (2)
84var roleMappedData = new RoleMappedData(data, _roleMappings, opt: true); 105roleMappedData = new RoleMappedData(input, _roleMappings, opt: true);
Evaluators\MamlEvaluator.cs (3)
109data = new RoleMappedData(data.Data, GetInputColumnRoles(data.Schema, needStrat: true)); 223var dataEval = new RoleMappedData(scoredData.Data, GetInputColumnRoles(schema)); 284var data = new RoleMappedData(perInstance.Data, GetInputColumnRoles(perInstance.Schema, needName: true));
Model\Pfa\SavePfaCommand.cs (1)
150data = new RoleMappedData(end, trainSchema.GetColumnRoleNames());
Microsoft.ML.Ensemble (6)
EnsembleUtils.cs (1)
39var res = new RoleMappedData(view, data.Schema.GetColumnRoleNames());
Selector\SubModelSelector\BaseSubModelSelector.cs (1)
84RoleMappedData scoredTestData = new RoleMappedData(scorePipe,
Selector\SubsetSelector\BaseSubsetSelector.cs (2)
80dataTest = new RoleMappedData(viewTest, Data.Schema.GetColumnRoleNames()); 81dataTrain = new RoleMappedData(viewTrain, Data.Schema.GetColumnRoleNames());
Selector\SubsetSelector\BootstrapSelector.cs (1)
52var dataTrain = new RoleMappedData(viewTrain, Data.Schema.GetColumnRoleNames());
Selector\SubsetSelector\RandomPartitionSelector.cs (1)
50var dataTrain = new RoleMappedData(viewTrain, Data.Schema.GetColumnRoleNames());
Microsoft.ML.FastTree (2)
FastTree.cs (1)
1359examples = new RoleMappedData(data, examples.Schema.GetColumnRoleNames());
GamModelParameters.cs (1)
891var data = new RoleMappedData(loader, schema.GetColumnRoleNames(), opt: true);
Microsoft.ML.Mkl.Components (1)
SymSgdClassificationTrainer.cs (1)
206var examplesToFeedTrain = new RoleMappedData(idvToFeedTrain, roles);
Microsoft.ML.OnnxConverter (1)
SaveOnnxCommand.cs (1)
342data = new RoleMappedData(end, trainSchema.GetColumnRoleNames());
Microsoft.ML.Recommender (2)
MatrixFactorizationTrainer.cs (2)
534var trainingData = new RoleMappedData(trainData, roles); 535var validData = validationData == null ? null : new RoleMappedData(validationData, roles);
Microsoft.ML.StandardTrainers (6)
FactorizationMachine\FactorizationMachineTrainer.cs (2)
602var trainingData = new RoleMappedData(trainData, roles); 603var validData = validationData == null ? null : new RoleMappedData(validationData, roles);
Standard\MulticlassClassification\OneVersusAllTrainer.cs (1)
214var td = new RoleMappedData(input, roles);
Standard\MulticlassClassification\PairwiseCouplingTrainer.cs (1)
192var td = new RoleMappedData(input, roles);
Standard\SdcaBinary.cs (1)
117var examplesToFeedTrain = new RoleMappedData(idvToFeedTrain, roles);
Standard\StochasticTrainerBase.cs (1)
81var examplesToFeedTrain = new RoleMappedData(idvToFeedTrain, roles);