Interface IBayesPointMachineClassifierPredictionSettings<TLabel>

Interface to prediction settings of a Bayes point machine classifier.

Inherited Members

ICustomSerializable.SaveForwardCompatible(IWriter)

Namespace: Microsoft.ML.Probabilistic.Learners

Assembly: Microsoft.ML.Probabilistic.Learners.Classifier.dll

Syntax

public interface IBayesPointMachineClassifierPredictionSettings<TLabel> : ICustomSerializable

Type Parameters

Name	Description
TLabel	The type of a label.

Remarks

These settings can be modified after training.

Methods

GetPredictionLossFunction(out Func<TLabel, TLabel, Double>)

Gets the loss function which determines how a prediction in the form of a distribution is converted into a point prediction.

Declaration

LossFunction GetPredictionLossFunction(out Func<TLabel, TLabel, double> customLossFunction)

Parameters

Type	Name	Description
Func<TLabel, TLabel, Double>	customLossFunction	The custom loss function. This is null unless the returned LossFunction is 'Custom'.

Returns

Type	Description
LossFunction	The LossFunction.

Remarks

A loss function returns the loss incurred when choosing an estimate instead of the true value, where the first argument is the true value and the second argument is the estimate of the true value.

SetPredictionLossFunction(LossFunction, Func<TLabel, TLabel, Double>)

Sets the loss function which determines how a prediction in the form of a distribution is converted into a point prediction.

Declaration

void SetPredictionLossFunction(LossFunction lossFunction, Func<TLabel, TLabel, double> customLossFunction = null)

Parameters

Type	Name	Description
LossFunction	lossFunction	The loss function.
Func<TLabel, TLabel, Double>	customLossFunction	An optional custom loss function. This can only be set when lossFunction is set to 'Custom'. The custom loss function returns the loss incurred when choosing an estimate instead of the true value, where the first argument is the true value and the second argument is the estimate of the true value.