3 writes to TrainedEnsemble
Microsoft.ML.FastTree (3)
FastTree.cs (1)
233
TrainedEnsemble
= Ensemble;
RandomForestClassification.cs (1)
311
TrainedEnsemble
= new InternalTreeEnsemble();
RandomForestRegression.cs (1)
443
TrainedEnsemble
= new InternalTreeEnsemble();
11 references to TrainedEnsemble
Microsoft.ML.FastTree (11)
FastTree.cs (1)
235
TrainedEnsemble
.RemapFeatures(FeatureMap);
FastTreeClassification.cs (1)
206
var pred = new FastTreeBinaryModelParameters(Host,
TrainedEnsemble
, FeatureCount, InnerOptions);
FastTreeRanking.cs (1)
152
return new FastTreeRankingModelParameters(Host,
TrainedEnsemble
, FeatureCount, InnerOptions);
FastTreeRegression.cs (1)
124
return new FastTreeRegressionModelParameters(Host,
TrainedEnsemble
, FeatureCount, InnerOptions);
FastTreeTweedie.cs (1)
134
return new FastTreeTweedieModelParameters(Host,
TrainedEnsemble
, FeatureCount, InnerOptions);
RandomForestClassification.cs (3)
238
TrainedEnsemble
.RemapFeatures(FeatureMap);
251
return new FastForestBinaryModelParameters(Host,
TrainedEnsemble
, FeatureCount, InnerOptions);
344
TrainedEnsemble
.AddTree(newTree);
RandomForestRegression.cs (3)
377
TrainedEnsemble
.RemapFeatures(FeatureMap);
384
return new FastForestRegressionModelParameters(Host,
TrainedEnsemble
, FeatureCount, InnerOptions, FastTreeTrainerOptions.NumberOfQuantileSamples);
476
TrainedEnsemble
.AddTree(newTree);