11 references to RegressionPredictionTransformer
Microsoft.ML.Data (1)
DataLoadSave\TransformerChain.cs (1)
312pred = new RegressionPredictionTransformer<IPredictorProducing<float>>(env, predictor as IPredictorProducing<float>, chain.Schema,
Microsoft.ML.EntryPoints (1)
PermutationFeatureImportance.cs (1)
209var pred = new RegressionPredictionTransformer<IPredictorProducing<float>>(
Microsoft.ML.FastTree (4)
FastTreeRegression.cs (1)
192=> new RegressionPredictionTransformer<FastTreeRegressionModelParameters>(Host, model, trainSchema, FeatureColumn.Name);
FastTreeTweedie.cs (1)
351=> new RegressionPredictionTransformer<FastTreeTweedieModelParameters>(Host, model, trainSchema, FeatureColumn.Name);
GamRegression.cs (1)
126=> new RegressionPredictionTransformer<GamRegressionModelParameters>(Host, model, trainSchema, FeatureColumn.Name);
RandomForestRegression.cs (1)
495=> new RegressionPredictionTransformer<FastForestRegressionModelParameters>(Host, model, trainSchema, FeatureColumn.Name);
Microsoft.ML.LightGbm (1)
LightGbmRegressionTrainer.cs (1)
255=> new RegressionPredictionTransformer<LightGbmRegressionModelParameters>(Host, model, trainSchema, FeatureColumn.Name);
Microsoft.ML.Mkl.Components (1)
OlsLinearRegression.cs (1)
132=> new RegressionPredictionTransformer<OlsModelParameters>(Host, model, trainSchema, FeatureColumn.Name);
Microsoft.ML.StandardTrainers (3)
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\SdcaRegression.cs (1)
202=> new RegressionPredictionTransformer<LinearRegressionModelParameters>(Host, model, trainSchema, FeatureColumn.Name);