Interface IBayesPointMachineClassifier<TInstanceSource, TInstance, TLabelSource, TLabel, TLabelDistribution, TTrainingSettings, TPredictionSettings>

Interface to a Bayes point machine classifier.

Inherited Members

IPredictor<TInstanceSource, TInstance, TLabelSource, TLabel, TLabelDistribution>.Capabilities

IPredictor<TInstanceSource, TInstance, TLabelSource, TLabel, TLabelDistribution>.Train(TInstanceSource, TLabelSource)

IPredictor<TInstanceSource, TInstance, TLabelSource, TLabel, TLabelDistribution>.PredictDistribution(TInstance, TInstanceSource)

IPredictor<TInstanceSource, TInstance, TLabelSource, TLabel, TLabelDistribution>.PredictDistribution(TInstanceSource)

IPredictor<TInstanceSource, TInstance, TLabelSource, TLabel, TLabelDistribution>.Predict(TInstance, TInstanceSource)

IPredictor<TInstanceSource, TInstance, TLabelSource, TLabel, TLabelDistribution>.Predict(TInstanceSource)

ILearner.Capabilities

IPredictorIncrementalTraining<TInstanceSource, TLabelSource>.TrainIncremental(TInstanceSource, TLabelSource)

ICustomSerializable.SaveForwardCompatible(IWriter)

Namespace: Microsoft.ML.Probabilistic.Learners

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

Syntax

public interface IBayesPointMachineClassifier<in TInstanceSource, in TInstance, in TLabelSource, TLabel, out TLabelDistribution, out TTrainingSettings, out TPredictionSettings> : IPredictor<TInstanceSource, TInstance, TLabelSource, TLabel, TLabelDistribution>, ILearner, IPredictorIncrementalTraining<TInstanceSource, TLabelSource>, ICustomSerializable where TTrainingSettings : BayesPointMachineClassifierTrainingSettings where TPredictionSettings : IBayesPointMachineClassifierPredictionSettings<TLabel>

Type Parameters

Name	Description
TInstanceSource	The type of a source of instances.
TInstance	The type of an instance.
TLabelSource	The type of a source of labels.
TLabel	The type of a label.
TLabelDistribution	The type of a distribution over labels in standard data format.
TTrainingSettings	The type of the settings for training.
TPredictionSettings	The type of the settings for prediction.

Properties

LogModelEvidence

Gets the natural logarithm of the model evidence. Use this for model selection.

Declaration

double LogModelEvidence { get; }

Property Value

Type	Description
Double

Settings

Gets the settings of the Bayes point machine classifier.

Declaration

IBayesPointMachineClassifierSettings<TLabel, TTrainingSettings, TPredictionSettings> Settings { get; }

Property Value

Type	Description
IBayesPointMachineClassifierSettings<TLabel, TTrainingSettings, TPredictionSettings>

WeightPosteriorDistributions

Gets the posterior distributions of the weights of the Bayes point machine classifier.

Declaration

IReadOnlyList<IReadOnlyList<Gaussian>> WeightPosteriorDistributions { get; }

Property Value

Type	Description
IReadOnlyList<IReadOnlyList<Gaussian>>

Events

IterationChanged

The event that is fired at the end of each iteration of the Bayes point machine classifier training algorithm.

Declaration

event EventHandler<BayesPointMachineClassifierIterationChangedEventArgs> IterationChanged

Event Type

Type	Description
EventHandler<BayesPointMachineClassifierIterationChangedEventArgs>