11 references to RegressionPredictionTransformer
Microsoft.ML.Data (1)
DataLoadSave\TransformerChain.cs (1)
312
pred = new
RegressionPredictionTransformer
<IPredictorProducing<float>>(env, predictor as IPredictorProducing<float>, chain.Schema,
Microsoft.ML.EntryPoints (1)
PermutationFeatureImportance.cs (1)
209
var 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);