Class GaussianSparseBinaryBpmPrediction_EP

Inheritance

Object

GaussianSparseBinaryBpmPrediction_EP

Implements

IGeneratedAlgorithm

Inherited Members

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Object.ToString()

Namespace: Microsoft.ML.Probabilistic.Learners.BayesPointMachineClassifierInternal

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

Syntax

public class GaussianSparseBinaryBpmPrediction_EP : IGeneratedAlgorithm

Fields

Changed_FeatureIndexes_FeatureValues_InstanceCount_InstanceFeatureCounts_WeightConstraints_WeightPri6_isDone

True if Changed_FeatureIndexes_FeatureValues_InstanceCount_InstanceFeatureCounts_WeightConstraints_WeightPri6 has executed. Set this to false to force re-execution of Changed_FeatureIndexes_FeatureValues_InstanceCount_InstanceFeatureCounts_WeightConstraints_WeightPri6

Declaration

public bool Changed_FeatureIndexes_FeatureValues_InstanceCount_InstanceFeatureCounts_WeightConstraints_WeightPri6_isDone

Field Value

Type	Description
Boolean

Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_WeightConstraints_WeightPriors_isDone

True if Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_WeightConstraints_WeightPriors has executed. Set this to false to force re-execution of Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_WeightConstraints_WeightPriors

Declaration

public bool Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_WeightConstraints_WeightPriors_isDone

Field Value

Type	Description
Boolean

Changed_InstanceCount_InstanceFeatureCounts_isDone

True if Changed_InstanceCount_InstanceFeatureCounts has executed. Set this to false to force re-execution of Changed_InstanceCount_InstanceFeatureCounts

Declaration

public bool Changed_InstanceCount_InstanceFeatureCounts_isDone

Field Value

Type	Description
Boolean

Changed_InstanceCount_isDone

True if Changed_InstanceCount has executed. Set this to false to force re-execution of Changed_InstanceCount

Declaration

public bool Changed_InstanceCount_isDone

Field Value

Type	Description
Boolean

Changed_WeightConstraints_WeightPriors_isDone

True if Changed_WeightConstraints_WeightPriors has executed. Set this to false to force re-execution of Changed_WeightConstraints_WeightPriors

Declaration

public bool Changed_WeightConstraints_WeightPriors_isDone

Field Value

Type	Description
Boolean

Changed_WeightPriors_isDone

True if Changed_WeightPriors has executed. Set this to false to force re-execution of Changed_WeightPriors

Declaration

public bool Changed_WeightPriors_isDone

Field Value

Type	Description
Boolean

Constant_isDone

True if Constant has executed. Set this to false to force re-execution of Constant

Declaration

public bool Constant_isDone

Field Value

Type	Description
Boolean

FeatureScores_F

Declaration

public DistributionStructArray<Gaussian, double>[] FeatureScores_F

Field Value

Type	Description
DistributionStructArray<Gaussian, Double>[]

IndexedWeights_B

Declaration

public DistributionStructArray<Gaussian, double>[] IndexedWeights_B

Field Value

Type	Description
DistributionStructArray<Gaussian, Double>[]

Labels_F

Declaration

public DistributionStructArray<Bernoulli, bool> Labels_F

Field Value

Type	Description
DistributionStructArray<Bernoulli, Boolean>

Labels_marginal_F

Message to marginal of 'Labels'

Declaration

public DistributionStructArray<Bernoulli, bool> Labels_marginal_F

Field Value

Type	Description
DistributionStructArray<Bernoulli, Boolean>

Labels_use_B_reduced

Declaration

public Bernoulli Labels_use_B_reduced

Field Value

Type	Description
Bernoulli

NoisyScore_F

Declaration

public Gaussian[] NoisyScore_F

Field Value

Type	Description
Gaussian[]

Score_F

Declaration

public Gaussian[] Score_F

Field Value

Type	Description
Gaussian[]

Weights_FeatureIndexes_F

Declaration

public DistributionRefArray<DistributionStructArray<Gaussian, double>, double[]> Weights_FeatureIndexes_F

Field Value

Type	Description
DistributionRefArray<DistributionStructArray<Gaussian, Double>, Double[]>

Weights_marginal_F

Message to marginal of 'Weights'

Declaration

public DistributionStructArray<Gaussian, double> Weights_marginal_F

Field Value

Type	Description
DistributionStructArray<Gaussian, Double>

Weights_uses_B

Messages from uses of 'Weights'

Declaration

public DistributionStructArray<Gaussian, double>[] Weights_uses_B

Field Value

Type	Description
DistributionStructArray<Gaussian, Double>[]

Weights_uses_F

Messages to uses of 'Weights'

Declaration

public DistributionStructArray<Gaussian, double>[] Weights_uses_F

Field Value

Type	Description
DistributionStructArray<Gaussian, Double>[]

Properties

FeatureCount

The externally-specified value of 'FeatureCount'

Declaration

public int FeatureCount { get; set; }

Property Value

Type	Description
Int32

FeatureIndexes

The externally-specified value of 'FeatureIndexes'

Declaration

public int[][] FeatureIndexes { get; set; }

Property Value

Type	Description
Int32[][]

FeatureValues

The externally-specified value of 'FeatureValues'

Declaration

public double[][] FeatureValues { get; set; }

Property Value

Type	Description
Double[][]

InstanceCount

The externally-specified value of 'InstanceCount'

Declaration

public int InstanceCount { get; set; }

Property Value

Type	Description
Int32

InstanceFeatureCounts

The externally-specified value of 'InstanceFeatureCounts'

Declaration

public int[] InstanceFeatureCounts { get; set; }

Property Value

Type	Description
Int32[]

NumberOfIterationsDone

The number of iterations done from the initial state

Declaration

public int NumberOfIterationsDone { get; }

Property Value

Type	Description
Int32

WeightConstraints

The externally-specified value of 'WeightConstraints'

Declaration

public DistributionStructArray<Gaussian, double> WeightConstraints { get; set; }

Property Value

Type	Description
DistributionStructArray<Gaussian, Double>

WeightPriors

The externally-specified value of 'WeightPriors'

Declaration

public DistributionStructArray<Gaussian, double> WeightPriors { get; set; }

Property Value

Type	Description
DistributionStructArray<Gaussian, Double>

Methods

Execute(Int32)

Update all marginals, by iterating message-passing the given number of times

Declaration

public void Execute(int numberOfIterations)

Parameters

Type	Name	Description
Int32	numberOfIterations	The total number of iterations that should be executed for the current set of observed values. If this is more than the number already done, only the extra iterations are done. If this is less than the number already done, message-passing is restarted from the beginning. Changing the observed values resets the iteration count to 0.

GetObservedValue(String)

Get the observed value of the specified variable.

Declaration

public object GetObservedValue(string variableName)

Parameters

Type	Name	Description
String	variableName	Variable name

Returns

Type	Description
Object

LabelsMarginal()

Returns the marginal distribution for 'Labels' given by the current state of the message passing algorithm.

Declaration

public DistributionStructArray<Bernoulli, bool> LabelsMarginal()

Returns

Type	Description
DistributionStructArray<Bernoulli, Boolean>	The marginal distribution

Marginal(String)

Get the marginal distribution (computed up to this point) of a variable

Declaration

public object Marginal(string variableName)

Parameters

Type	Name	Description
String	variableName	Name of the variable in the generated code

Returns

Type	Description
Object	The marginal distribution computed up to this point

Remarks

Execute, Update, or Reset must be called first to set the value of the marginal.

Marginal(String, String)

Get the query-specific marginal distribution of a variable.

Declaration

public object Marginal(string variableName, string query)

Parameters

Type	Name	Description
String	variableName	Name of the variable in the generated code
String	query	QueryType name. For example, GibbsSampling answers 'Marginal', 'Samples', and 'Conditionals' queries

Returns

Type	Description
Object

Remarks

Execute, Update, or Reset must be called first to set the value of the marginal.

Marginal<T>(String)

Get the marginal distribution (computed up to this point) of a variable, converted to type T

Declaration

public T Marginal<T>(string variableName)

Parameters

Type	Name	Description
String	variableName	Name of the variable in the generated code

Returns

Type	Description
T	The marginal distribution computed up to this point

Type Parameters

Name	Description
T	The distribution type.

Remarks

Execute, Update, or Reset must be called first to set the value of the marginal.

Marginal<T>(String, String)

Get the query-specific marginal distribution of a variable, converted to type T

Declaration

public T Marginal<T>(string variableName, string query)

Parameters

Type	Name	Description
String	variableName	Name of the variable in the generated code
String	query	QueryType name. For example, GibbsSampling answers 'Marginal', 'Samples', and 'Conditionals' queries

Returns

Type	Description
T

Type Parameters

Name	Description
T	The distribution type.

Remarks

Execute, Update, or Reset must be called first to set the value of the marginal.

Reset()

Reset all messages to their initial values. Sets NumberOfIterationsDone to 0.

Declaration

public void Reset()

SetObservedValue(String, Object)

Set the observed value of the specified variable.

Declaration

public void SetObservedValue(string variableName, object value)

Parameters

Type	Name	Description
String	variableName	Variable name
Object	value	Observed value

Update(Int32)

Update all marginals, by iterating message-passing an additional number of times

Declaration

public void Update(int additionalIterations)

Parameters

Type	Name	Description
Int32	additionalIterations	The number of iterations that should be executed, starting from the current message state. Messages are not reset, even if observed values have changed.

Events

ProgressChanged

Event that is fired when the progress of inference changes, typically at the end of one iteration of the inference algorithm.

Declaration

public event EventHandler<ProgressChangedEventArgs> ProgressChanged

Event Type

Type	Description
EventHandler<ProgressChangedEventArgs>

Implements

IGeneratedAlgorithm