1 write to FeatureColumn
Microsoft.ML.Data (1)
Training\TrainerEstimatorBase.cs (1)
67
FeatureColumn
= feature;
35 references to FeatureColumn
Microsoft.ML.Data (7)
Training\TrainerEstimatorBase.cs (7)
108
if (!inputSchema.TryFindColumn(
FeatureColumn
.Name, out var featureCol))
109
throw Host.ExceptSchemaMismatch(nameof(inputSchema), "feature",
FeatureColumn
.Name);
110
if (!
FeatureColumn
.IsCompatibleWith(featureCol))
111
throw Host.ExceptSchemaMismatch(nameof(inputSchema), "feature",
FeatureColumn
.Name,
112
FeatureColumn
.GetTypeString(), featureCol.GetTypeString());
166
new RoleMappedData(data, label: LabelColumn.Name, feature:
FeatureColumn
.Name, weight: WeightColumn.Name);
198
new RoleMappedData(data, label: LabelColumn.Name, feature:
FeatureColumn
.Name, group: GroupIdColumn.Name, weight: WeightColumn.Name);
Microsoft.ML.FastTree (8)
FastTreeClassification.cs (1)
303
=> new BinaryPredictionTransformer<CalibratedModelParametersBase<FastTreeBinaryModelParameters, PlattCalibrator>>(Host, model, trainSchema,
FeatureColumn
.Name);
FastTreeRanking.cs (1)
476
=> new RankingPredictionTransformer<FastTreeRankingModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
FastTreeRegression.cs (1)
192
=> new RegressionPredictionTransformer<FastTreeRegressionModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
FastTreeTweedie.cs (1)
351
=> new RegressionPredictionTransformer<FastTreeTweedieModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
GamClassification.cs (1)
174
=> new BinaryPredictionTransformer<CalibratedModelParametersBase<GamBinaryModelParameters, PlattCalibrator>>(Host, model, trainSchema,
FeatureColumn
.Name);
GamRegression.cs (1)
126
=> new RegressionPredictionTransformer<GamRegressionModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
RandomForestClassification.cs (1)
366
=> new BinaryPredictionTransformer<FastForestBinaryModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
RandomForestRegression.cs (1)
495
=> new RegressionPredictionTransformer<FastForestRegressionModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
Microsoft.ML.LightGbm (4)
LightGbmBinaryTrainer.cs (1)
294
=> new BinaryPredictionTransformer<CalibratedModelParametersBase<LightGbmBinaryModelParameters, PlattCalibrator>>(Host, model, trainSchema,
FeatureColumn
.Name);
LightGbmMulticlassTrainer.cs (1)
376
=> new MulticlassPredictionTransformer<OneVersusAllModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name, LabelColumn.Name);
LightGbmRankingTrainer.cs (1)
307
=> new RankingPredictionTransformer<LightGbmRankingModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
LightGbmRegressionTrainer.cs (1)
255
=> new RegressionPredictionTransformer<LightGbmRegressionModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
Microsoft.ML.Mkl.Components (2)
OlsLinearRegression.cs (1)
132
=> new RegressionPredictionTransformer<OlsModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
SymSgdClassificationTrainer.cs (1)
263
=> new BinaryPredictionTransformer<TPredictor>(Host, model, trainSchema,
FeatureColumn
.Name);
Microsoft.ML.StandardTrainers (13)
Standard\LogisticRegression\LbfgsPredictorBase.cs (1)
241
options.FeatureColumnName =
FeatureColumn
.Name;
Standard\LogisticRegression\LogisticRegression.cs (1)
181
=> new BinaryPredictionTransformer<CalibratedModelParametersBase<LinearBinaryModelParameters, PlattCalibrator>>(Host, model, trainSchema,
FeatureColumn
.Name);
Standard\LogisticRegression\MulticlassLogisticRegression.cs (1)
384
=> new MulticlassPredictionTransformer<MaximumEntropyModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name, LabelColumn.Name);
Standard\MulticlassClassification\MulticlassNaiveBayesTrainer.cs (1)
130
=> new MulticlassPredictionTransformer<NaiveBayesMulticlassModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name, LabelColumn.Name);
Standard\Online\AveragedPerceptron.cs (1)
218
=> new BinaryPredictionTransformer<LinearBinaryModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
Standard\Online\LinearSvm.cs (1)
338
=> new BinaryPredictionTransformer<LinearBinaryModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
Standard\Online\OnlineGradientDescent.cs (1)
203
=> new RegressionPredictionTransformer<LinearRegressionModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
Standard\PoissonRegression\PoissonRegression.cs (1)
128
=> new RegressionPredictionTransformer<PoissonRegressionModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
Standard\SdcaBinary.cs (2)
1551
=> new BinaryPredictionTransformer<TModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
2008
=> new BinaryPredictionTransformer<TModel>(Host, model, trainSchema,
FeatureColumn
.Name);
Standard\SdcaMulticlass.cs (2)
566
new MulticlassPredictionTransformer<MaximumEntropyModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name, LabelColumn.Name);
663
new MulticlassPredictionTransformer<LinearMulticlassModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name, LabelColumn.Name);
Standard\SdcaRegression.cs (1)
202
=> new RegressionPredictionTransformer<LinearRegressionModelParameters>(Host, model, trainSchema,
FeatureColumn
.Name);
Microsoft.ML.Vision (1)
ImageClassificationTrainer.cs (1)
652
FeatureColumn
.Name, LabelColumn.Name, _options.ScoreColumnName, _options.PredictedLabelColumnName);