7 implementations of SaveAsPfa
Microsoft.ML.Data (2)
Prediction\Calibrator.cs (2)
345
JToken ISingleCanSavePfa.
SaveAsPfa
(BoundPfaContext ctx, JToken input)
1783
JToken ISingleCanSavePfa.
SaveAsPfa
(BoundPfaContext ctx, JToken input)
Microsoft.ML.FastTree (1)
FastTree.cs (1)
2989
JToken ISingleCanSavePfa.
SaveAsPfa
(BoundPfaContext ctx, JToken input)
Microsoft.ML.StandardTrainers (4)
Standard\LinearModelParameters.cs (1)
231
JToken ISingleCanSavePfa.
SaveAsPfa
(BoundPfaContext ctx, JToken input)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (1)
971
JToken ISingleCanSavePfa.
SaveAsPfa
(BoundPfaContext ctx, JToken input) => SaveAsPfaCore(ctx, input);
Standard\MulticlassClassification\OneVersusAllTrainer.cs (2)
432
JToken ISingleCanSavePfa.
SaveAsPfa
(BoundPfaContext ctx, JToken input)
507
public 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)
352
return mapper.
SaveAsPfa
(ctx, input);
363
JToken scoreExpression = ((ISingleCanSavePfa)this).
SaveAsPfa
(ctx, input);
372
JToken probExpression = calibrator.
SaveAsPfa
(ctx, scoreToken);
Scorers\SchemaBindablePredictorWrapper.cs (1)
336
var 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)
655
rootObjects.Add(ctx.DeclareVar(null, pred.
SaveAsPfa
(ctx, input)));