TrainerUtils

Prediction\CalibratorCatalog.cs (3)

69LabelColumn = TrainerUtils.MakeBoolScalarLabel(labelColumn); 72ScoreColumn = TrainerUtils.MakeR4ScalarColumn(scoreColumn); // Do we fathom this being named anything else (renaming column)? Complete metadata? 75WeightColumn = TrainerUtils.MakeR4ScalarWeightColumn(weightColumn);

FastTree.cs (6)

111: base(Contracts.CheckRef(env, nameof(env)).Register(RegisterName), TrainerUtils.MakeR4VecFeature(featureColumnName), label, TrainerUtils.MakeR4ScalarWeightColumn(exampleWeightColumnName), TrainerUtils.MakeU4ScalarColumn(rowGroupColumnName)) 143: base(Contracts.CheckRef(env, nameof(env)).Register(RegisterName), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName), label, TrainerUtils.MakeR4ScalarWeightColumn(options.ExampleWeightColumnName), 144TrainerUtils.MakeU4ScalarColumn(options.RowGroupColumnName))

FastTreeClassification.cs (2)

164: base(env, TrainerUtils.MakeBoolScalarLabel(labelColumnName), featureColumnName, exampleWeightColumnName, null, numberOfLeaves, numberOfTrees, minimumExampleCountPerLeaf, learningRate) 176: base(env, options, TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName))

FastTreeRanking.cs (2)

105: base(env, TrainerUtils.MakeR4ScalarColumn(labelColumnName), featureColumnName, exampleWeightColumnName, rowGroupColumnName, numberOfLeaves, numberOfTrees, minimumExampleCountPerLeaf, learningRate) 116: base(env, options, TrainerUtils.MakeR4ScalarColumn(options.LabelColumnName))

FastTreeRegression.cs (2)

94: base(env, TrainerUtils.MakeR4ScalarColumn(labelColumnName), featureColumnName, exampleWeightColumnName, null, numberOfLeaves, numberOfTrees, minimumExampleCountPerLeaf, learningRate) 104: base(env, options, TrainerUtils.MakeR4ScalarColumn(options.LabelColumnName))

FastTreeTweedie.cs (2)

98: base(env, TrainerUtils.MakeR4ScalarColumn(labelColumnName), featureColumnName, exampleWeightColumnName, null, numberOfLeaves, numberOfTrees, minimumExampleCountPerLeaf, learningRate) 112: base(env, options, TrainerUtils.MakeR4ScalarColumn(options.LabelColumnName))

GamClassification.cs (2)

86: base(env, options, LoadNameValue, TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName)) 108: base(env, LoadNameValue, TrainerUtils.MakeBoolScalarLabel(labelColumnName), featureColumnName, rowGroupColumnName, numberOfIterations, learningRate, maximumBinCountPerFeature)

GamRegression.cs (2)

78: base(env, options, LoadNameValue, TrainerUtils.MakeR4ScalarColumn(options.LabelColumnName)) { } 97: base(env, LoadNameValue, TrainerUtils.MakeR4ScalarColumn(labelColumnName), featureColumnName, rowGroupColumnName, numberOfIterations, learningRate, maximumBinCountPerFeature)

GamTrainer.cs (4)

176: base(Contracts.CheckRef(env, nameof(env)).Register(name), TrainerUtils.MakeR4VecFeature(featureColumnName), label, TrainerUtils.MakeR4ScalarWeightColumn(weightCrowGroupColumnName)) 197: base(Contracts.CheckRef(env, nameof(env)).Register(name), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName), 198label, TrainerUtils.MakeR4ScalarWeightColumn(options.ExampleWeightColumnName))

RandomForestClassification.cs (2)

195: base(env, TrainerUtils.MakeBoolScalarLabel(labelColumnName), featureColumnName, exampleWeightColumnName, null, numberOfLeaves, numberOfTrees, minimumExampleCountPerLeaf) 207: base(env, options, TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName))

RandomForestRegression.cs (2)

334: base(env, TrainerUtils.MakeR4ScalarColumn(labelColumnName), featureColumnName, exampleWeightColumnName, null, numberOfLeaves, numberOfTrees, minimumExampleCountPerLeaf) 346: base(env, options, TrainerUtils.MakeR4ScalarColumn(options.LabelColumnName), true)

KMeansPlusPlusTrainer.cs (2)

171: base(Contracts.CheckRef(env, nameof(env)).Register(LoadNameValue), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName), default, TrainerUtils.MakeR4ScalarWeightColumn(options.ExampleWeightColumnName))

LightGbmBinaryTrainer.cs (1)

194: base(env, LoadNameValue, options, TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName))

LightGbmMulticlassTrainer.cs (1)

135: base(env, LoadNameValue, options, TrainerUtils.MakeU4ScalarColumn(options.LabelColumnName))

LightGbmRankingTrainer.cs (1)

177: base(env, LoadNameValue, options, TrainerUtils.MakeR4ScalarColumn(options.LabelColumnName))

LightGbmRegressionTrainer.cs (1)

192: base(env, LoadNameValue, options, TrainerUtils.MakeR4ScalarColumn(options.LabelColumnName))

LightGbmTrainerBase.cs (3)

367: base(Contracts.CheckRef(env, nameof(env)).Register(name), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName), label, 368TrainerUtils.MakeR4ScalarWeightColumn(options.ExampleWeightColumnName), TrainerUtils.MakeU4ScalarColumn(options.RowGroupColumnName))

OlsLinearRegression.cs (3)

121: base(Contracts.CheckRef(env, nameof(env)).Register(LoadNameValue), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName), 122TrainerUtils.MakeR4ScalarColumn(options.LabelColumnName), TrainerUtils.MakeR4ScalarWeightColumn(options.ExampleWeightColumnName))

SymSgdClassificationTrainer.cs (2)

241: base(Contracts.CheckRef(env, nameof(env)).Register(LoadNameValue), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName), 242TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName))

PcaTrainer.cs (2)

161: base(Contracts.CheckRef(env, nameof(env)).Register(LoadNameValue), TrainerUtils.MakeR4VecFeature(featureColumnName), default, TrainerUtils.MakeR4ScalarWeightColumn(exampleWeightColumnName))

LdSvm\LdSvmTrainer.cs (3)

166TrainerUtils.MakeR4VecFeature(options.FeatureColumnName), 167TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName), 168TrainerUtils.MakeR4ScalarWeightColumn(options.ExampleWeightColumnName))

Standard\LogisticRegression\LbfgsPredictorBase.cs (2)

232: base(Contracts.CheckRef(env, nameof(env)).Register(RegisterName), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName), 233labelColumn, TrainerUtils.MakeR4ScalarWeightColumn(options.ExampleWeightColumnName))

Standard\LogisticRegression\LogisticRegression.cs (2)

141: base(env, featureColumn, TrainerUtils.MakeBoolScalarLabel(labelColumn), exampleWeightColumnName, 155: base(env, options, TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName))

Standard\LogisticRegression\MulticlassLogisticRegression.cs (2)

150: base(env, featureColumn, TrainerUtils.MakeU4ScalarColumn(labelColumn), weights, l1Weight, l2Weight, optimizationTolerance, memorySize, enforceNoNegativity) 162: base(env, options, TrainerUtils.MakeU4ScalarColumn(options.LabelColumnName))

Standard\MulticlassClassification\MulticlassNaiveBayesTrainer.cs (4)

97: base(Contracts.CheckRef(env, nameof(env)).Register(LoadName), TrainerUtils.MakeR4VecFeature(featureColumn), 98TrainerUtils.MakeU4ScalarColumn(labelColumn)) 108: base(Contracts.CheckRef(env, nameof(env)).Register(LoadName), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName), 109TrainerUtils.MakeU4ScalarColumn(options.LabelColumnName))

Standard\Online\AveragedPerceptron.cs (1)

153: base(options, env, UserNameValue, TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName))

Standard\Online\LinearSvm.cs (1)

295: base(options, env, UserNameValue, TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName))

Standard\Online\OnlineGradientDescent.cs (1)

161: base(options, env, UserNameValue, TrainerUtils.MakeR4ScalarColumn(options.LabelColumnName))

Standard\Online\OnlineLinear.cs (2)

262: base(Contracts.CheckRef(env, nameof(env)).Register(name), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName), label, TrainerUtils.MakeR4ScalarWeightColumn(options.InitialWeights))

Standard\PoissonRegression\PoissonRegression.cs (2)

96: base(env, featureColumn, TrainerUtils.MakeR4ScalarColumn(labelColumn), weights, 107: base(env, options, TrainerUtils.MakeR4ScalarColumn(options.LabelColumnName))

Standard\SdcaBinary.cs (9)

64: base(Contracts.CheckRef(env, nameof(env)).Register(RegisterName), TrainerUtils.MakeR4VecFeature(featureColumn), 65labelColumn, TrainerUtils.MakeR4ScalarWeightColumn(weightColumn)) 308: base(Contracts.CheckRef(env, nameof(env)).Register(RegisterName), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName), label, weight) 1501: base(env, featureColumnName, TrainerUtils.MakeBoolScalarLabel(labelColumnName), TrainerUtils.MakeR4ScalarWeightColumn(weightColumnName), 1514: base(env, options, TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName), TrainerUtils.MakeR4ScalarWeightColumn(options.ExampleWeightColumnName)) 1974: base(env, featureColumn, TrainerUtils.MakeBoolScalarLabel(labelColumn), weightColumn) 1999: base(env, options.FeatureColumnName, TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName), options.ExampleWeightColumnName)

Standard\SdcaMulticlass.cs (4)

134: base(env, featureColumn, TrainerUtils.MakeU4ScalarColumn(labelColumn), TrainerUtils.MakeR4ScalarWeightColumn(weights), 145: base(env, options, TrainerUtils.MakeU4ScalarColumn(labelColumn), TrainerUtils.MakeR4ScalarWeightColumn(weightColumn))

Standard\SdcaRegression.cs (4)

119: base(env, featureColumn, TrainerUtils.MakeR4ScalarColumn(labelColumn), TrainerUtils.MakeR4ScalarWeightColumn(weights), 129: base(env, options, TrainerUtils.MakeR4ScalarColumn(labelColumn), TrainerUtils.MakeR4ScalarWeightColumn(weightColumn))

Dracula\CountTableTransformer.cs (1)

304TrainerUtils.CheckMulticlassLabel(data, out labelCardinality);

ImageClassificationTrainer.cs (1)

529TrainerUtils.MakeU4ScalarColumn(options.LabelColumnName))