19 writes to TrainingData
Microsoft.ML.Core.Tests (10)
UnitTests\TestEntryPoints.cs (10)
137
var lrModel = LbfgsLogisticRegressionBinaryTrainer.TrainBinary(Env, new LbfgsLogisticRegressionBinaryTrainer.Options {
TrainingData
= trainData.OutputData }).PredictorModel;
427
TrainingData
= data,
1510
var lrModel = LbfgsLogisticRegressionBinaryTrainer.TrainBinary(Env, new LbfgsLogisticRegressionBinaryTrainer.Options {
TrainingData
= splitOutput.TestData[0] }).PredictorModel;
1561
TrainingData
= data,
1827
TrainingData
= data,
2160
TrainingData
= data,
4251
TrainingData
= dataView,
4261
TrainingData
= dataView,
4325
TrainingData
= dataView,
4464
TrainingData
= concat.OutputData
Microsoft.ML.Predictor.Tests (9)
TestPredictors.cs (9)
638
TrainingData
= dataView
661
TrainingData
= cat
767
TrainingData
= dataView
774
TrainingData
= dataView,
782
TrainingData
= dataView,
790
TrainingData
= dataView,
813
TrainingData
= dataView
820
TrainingData
= dataView,
828
TrainingData
= dataView,
69 references to TrainingData
Microsoft.ML.Data (4)
EntryPoints\InputBase.cs (4)
72
var schema = input.
TrainingData
.Schema;
82
IDataView view = input.
TrainingData
;
103
if (!(input.
TrainingData
is BinaryLoader) && trainer.Info.WantCaching)
120
return 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)
142
var normalizedView = input.ModelArray[0].TransformModel.Apply(host, input.
TrainingData
);
157
PredictorModel = new PredictorModelImpl(env, data, input.
TrainingData
,
OneVersusAllMacro.cs (7)
64
inputMap.Add(paramBinding, node.GetInputVariable(nameof(input.
TrainingData
)));
96
if (entryPointNode.GetInputVariable(nameof(input.
TrainingData
)) is VariableBinding vb)
121
var schema = input.
TrainingData
.Schema;
131
var data = new RoleMappedData(input.
TrainingData
, label, feature, null, weight);
178
paramBinding = new SimpleParameterBinding(nameof(combineArgs.
TrainingData
));
179
inputBindingMap.Add(nameof(combineArgs.
TrainingData
), new List<ParameterBinding>() { paramBinding });
180
inputMap.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)
300
getWeight: () => TrainerEntryPointsUtils.FindColumn(host, input.
TrainingData
.Schema, input.ExampleWeightColumnName));
Microsoft.ML.LightGbm (9)
LightGbmBinaryTrainer.cs (2)
323
getLabel: () => TrainerEntryPointsUtils.FindColumn(host, input.
TrainingData
.Schema, input.LabelColumnName),
324
getWeight: () => TrainerEntryPointsUtils.FindColumn(host, input.
TrainingData
.Schema, input.ExampleWeightColumnName));
LightGbmMulticlassTrainer.cs (2)
405
getLabel: () => TrainerEntryPointsUtils.FindColumn(host, input.
TrainingData
.Schema, input.LabelColumnName),
406
getWeight: () => TrainerEntryPointsUtils.FindColumn(host, input.
TrainingData
.Schema, input.ExampleWeightColumnName));
LightGbmRankingTrainer.cs (3)
335
getLabel: () => TrainerEntryPointsUtils.FindColumn(host, input.
TrainingData
.Schema, input.LabelColumnName),
336
getWeight: () => TrainerEntryPointsUtils.FindColumn(host, input.
TrainingData
.Schema, input.ExampleWeightColumnName),
337
getGroup: () => TrainerEntryPointsUtils.FindColumn(host, input.
TrainingData
.Schema, input.RowGroupColumnName));
LightGbmRegressionTrainer.cs (2)
283
getLabel: () => TrainerEntryPointsUtils.FindColumn(host, input.
TrainingData
.Schema, input.LabelColumnName),
284
getWeight: () => 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)
406
getWeight: () => 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));