7 implementations of SaveAsPfa
Microsoft.ML.Data (2)
Prediction\Calibrator.cs (2)
345JToken ISingleCanSavePfa.SaveAsPfa(BoundPfaContext ctx, JToken input) 1783JToken ISingleCanSavePfa.SaveAsPfa(BoundPfaContext ctx, JToken input)
Microsoft.ML.FastTree (1)
FastTree.cs (1)
2989JToken ISingleCanSavePfa.SaveAsPfa(BoundPfaContext ctx, JToken input)
Microsoft.ML.StandardTrainers (4)
Standard\LinearModelParameters.cs (1)
231JToken ISingleCanSavePfa.SaveAsPfa(BoundPfaContext ctx, JToken input)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (1)
971JToken ISingleCanSavePfa.SaveAsPfa(BoundPfaContext ctx, JToken input) => SaveAsPfaCore(ctx, input);
Standard\MulticlassClassification\OneVersusAllTrainer.cs (2)
432JToken ISingleCanSavePfa.SaveAsPfa(BoundPfaContext ctx, JToken input) 507public abstract JToken SaveAsPfa(BoundPfaContext ctx, JToken input);
8 references to SaveAsPfa
Microsoft.ML.Data (5)
Model\Pfa\ICanSavePfa.cs (1)
104/// The call for distribution predictors. Unlike <see cref="ISingleCanSavePfa.SaveAsPfa"/>,
Prediction\Calibrator.cs (3)
352return mapper.SaveAsPfa(ctx, input); 363JToken scoreExpression = ((ISingleCanSavePfa)this).SaveAsPfa(ctx, input); 372JToken probExpression = calibrator.SaveAsPfa(ctx, scoreToken);
Scorers\SchemaBindablePredictorWrapper.cs (1)
336var scoreToken = mapper.SaveAsPfa(ctx, featureToken);
Microsoft.ML.StandardTrainers (3)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (2)
933/// Actual implementation of <see cref="ISingleCanSavePfa.SaveAsPfa(BoundPfaContext, JToken)"/> should happen in derived classes. 969/// Redirect <see cref="ISingleCanSavePfa.SaveAsPfa(BoundPfaContext, JToken)"/> call to the right function.
Standard\MulticlassClassification\OneVersusAllTrainer.cs (1)
655rootObjects.Add(ctx.DeclareVar(null, pred.SaveAsPfa(ctx, input)));