19 writes to TrainingData
Microsoft.ML.Core.Tests (10)
UnitTests\TestEntryPoints.cs (10)
137var lrModel = LbfgsLogisticRegressionBinaryTrainer.TrainBinary(Env, new LbfgsLogisticRegressionBinaryTrainer.Options { TrainingData = trainData.OutputData }).PredictorModel; 427TrainingData = data, 1510var lrModel = LbfgsLogisticRegressionBinaryTrainer.TrainBinary(Env, new LbfgsLogisticRegressionBinaryTrainer.Options { TrainingData = splitOutput.TestData[0] }).PredictorModel; 1561TrainingData = data, 1827TrainingData = data, 2160TrainingData = data, 4251TrainingData = dataView, 4261TrainingData = dataView, 4325TrainingData = dataView, 4464TrainingData = concat.OutputData
Microsoft.ML.Predictor.Tests (9)
TestPredictors.cs (9)
638TrainingData = dataView 661TrainingData = cat 767TrainingData = dataView 774TrainingData = dataView, 782TrainingData = dataView, 790TrainingData = dataView, 813TrainingData = dataView 820TrainingData = dataView, 828TrainingData = dataView,
69 references to TrainingData
Microsoft.ML.Data (4)
EntryPoints\InputBase.cs (4)
72var schema = input.TrainingData.Schema; 82IDataView view = input.TrainingData; 103if (!(input.TrainingData is BinaryLoader) && trainer.Info.WantCaching) 120return new TOut() { PredictorModel = new PredictorModelImpl(host, roleMappedData, input.TrainingData, predictor) };
Microsoft.ML.Ensemble (3)
EntryPoints\Ensemble.cs (3)
26() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName)); 39() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName)); 52() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName));
Microsoft.ML.EntryPoints (9)
ModelOperations.cs (2)
142var normalizedView = input.ModelArray[0].TransformModel.Apply(host, input.TrainingData); 157PredictorModel = new PredictorModelImpl(env, data, input.TrainingData,
OneVersusAllMacro.cs (7)
64inputMap.Add(paramBinding, node.GetInputVariable(nameof(input.TrainingData))); 96if (entryPointNode.GetInputVariable(nameof(input.TrainingData)) is VariableBinding vb) 121var schema = input.TrainingData.Schema; 131var data = new RoleMappedData(input.TrainingData, label, feature, null, weight); 178paramBinding = new SimpleParameterBinding(nameof(combineArgs.TrainingData)); 179inputBindingMap.Add(nameof(combineArgs.TrainingData), new List<ParameterBinding>() { paramBinding }); 180inputMap.Add(paramBinding, node.GetInputVariable(nameof(input.TrainingData)));
Microsoft.ML.FastTree (22)
FastTreeClassification.cs (3)
443() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 444() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName), 445() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.RowGroupColumnName));
FastTreeRanking.cs (3)
1092() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 1093() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName), 1094() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.RowGroupColumnName));
FastTreeRegression.cs (3)
543() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 544() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName), 545() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.RowGroupColumnName));
FastTreeTweedie.cs (3)
579() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 580() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName), 581() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.RowGroupColumnName));
GamTrainer.cs (4)
695() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 696() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName)); 709() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 710() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName));
RandomForestClassification.cs (3)
419() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 420() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName), 421() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.RowGroupColumnName),
RandomForestRegression.cs (3)
604() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 605() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName), 606() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.RowGroupColumnName));
Microsoft.ML.KMeansClustering (1)
KMeansPlusPlusTrainer.cs (1)
300getWeight: () => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName));
Microsoft.ML.LightGbm (9)
LightGbmBinaryTrainer.cs (2)
323getLabel: () => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 324getWeight: () => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName));
LightGbmMulticlassTrainer.cs (2)
405getLabel: () => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 406getWeight: () => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName));
LightGbmRankingTrainer.cs (3)
335getLabel: () => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 336getWeight: () => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName), 337getGroup: () => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.RowGroupColumnName));
LightGbmRegressionTrainer.cs (2)
283getLabel: () => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 284getWeight: () => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName));
Microsoft.ML.Mkl.Components (3)
OlsLinearRegression.cs (2)
684() => TrainerEntryPointsUtils.FindColumn(host, options.TrainingData.Schema, options.LabelColumnName), 685() => TrainerEntryPointsUtils.FindColumn(host, options.TrainingData.Schema, options.ExampleWeightColumnName));
SymSgdClassificationTrainer.cs (1)
295() => TrainerEntryPointsUtils.FindColumn(host, options.TrainingData.Schema, options.LabelColumnName));
Microsoft.ML.PCA (1)
PcaTrainer.cs (1)
406getWeight: () => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName));
Microsoft.ML.StandardTrainers (17)
FactorizationMachine\FactorizationMachineTrainer.cs (1)
581() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName));
LdSvm\LdSvmTrainer.cs (1)
678() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName),
Standard\LogisticRegression\LogisticRegression.cs (2)
475() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 476() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName));
Standard\LogisticRegression\MulticlassLogisticRegression.cs (2)
406() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 407() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName));
Standard\MulticlassClassification\MulticlassNaiveBayesTrainer.cs (1)
217() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName));
Standard\Online\AveragedPerceptron.cs (1)
233() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName),
Standard\Online\LinearSvm.cs (1)
333() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName),
Standard\Online\OnlineGradientDescent.cs (1)
199() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName));
Standard\PoissonRegression\PoissonRegression.cs (2)
221() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 222() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName));
Standard\SdcaBinary.cs (3)
2476() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName), 2477() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.ExampleWeightColumnName), 2500() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName),
Standard\SdcaMulticlass.cs (1)
684() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName));
Standard\SdcaRegression.cs (1)
223() => TrainerEntryPointsUtils.FindColumn(host, input.TrainingData.Schema, input.LabelColumnName));