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    Class GaussianSparseBinaryBpmTrainingEvidence_EP

    Inheritance
    Object
    GaussianSparseBinaryBpmTrainingEvidence_EP
    Implements
    IGeneratedAlgorithm
    Inherited Members
    Object.Equals(Object)
    Object.Equals(Object, Object)
    Object.GetHashCode()
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    Namespace: Microsoft.ML.Probabilistic.Learners.BayesPointMachineClassifierInternal
    Assembly: Microsoft.ML.Probabilistic.Learners.Classifier.dll
    Syntax
    public class GaussianSparseBinaryBpmTrainingEvidence_EP : IGeneratedAlgorithm

    Fields

    Changed_FeatureIndexes_FeatureValues_InstanceCount_InstanceFeatureCounts_Labels_numberOfIterations_W7_isDone

    True if Changed_FeatureIndexes_FeatureValues_InstanceCount_InstanceFeatureCounts_Labels_numberOfIterations_W7 has executed. Set this to false to force re-execution of Changed_FeatureIndexes_FeatureValues_InstanceCount_InstanceFeatureCounts_Labels_numberOfIterations_W7

    Declaration
    public bool Changed_FeatureIndexes_FeatureValues_InstanceCount_InstanceFeatureCounts_Labels_numberOfIterations_W7_isDone
    Field Value
    Type Description
    Boolean

    Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_WeightConstra6_isDone

    True if Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_WeightConstra6 has executed. Set this to false to force re-execution of Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_WeightConstra6

    Declaration
    public bool Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_WeightConstra6_isDone
    Field Value
    Type Description
    Boolean

    Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_WeightConstra6_isInitialised

    True if Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_WeightConstra6 has performed initialisation. Set this to false to force re-execution of Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_WeightConstra6

    Declaration
    public bool Changed_FeatureIndexes_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_WeightConstra6_isInitialised
    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_InstanceFeatureCounts_numberOfIterationsDecreased_Init_FeatureIndexes_FeatureV5_isDone

    True if Changed_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_Init_FeatureIndexes_FeatureV5 has executed. Set this to false to force re-execution of Changed_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_Init_FeatureIndexes_FeatureV5

    Declaration
    public bool Changed_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_Init_FeatureIndexes_FeatureV5_isDone
    Field Value
    Type Description
    Boolean

    Changed_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_Init_FeatureIndexes_FeatureV5_isInitialised

    True if Changed_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_Init_FeatureIndexes_FeatureV5 has performed initialisation. Set this to false to force re-execution of Changed_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_Init_FeatureIndexes_FeatureV5

    Declaration
    public bool Changed_InstanceCount_InstanceFeatureCounts_numberOfIterationsDecreased_Init_FeatureIndexes_FeatureV5_isInitialised
    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_B

    Declaration
    public DistributionStructArray<Gaussian, double>[] FeatureScores_B
    Field Value
    Type Description
    DistributionStructArray<Gaussian, Double>[]

    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>[]

    ModelSelector_marginal_F

    Message to marginal of 'ModelSelector'

    Declaration
    public Bernoulli ModelSelector_marginal_F
    Field Value
    Type Description
    Bernoulli

    ModelSelector_selector_B

    Declaration
    public Bernoulli ModelSelector_selector_B
    Field Value
    Type Description
    Bernoulli

    ModelSelector_selector_cases_0_B

    Declaration
    public Bernoulli ModelSelector_selector_cases_0_B
    Field Value
    Type Description
    Bernoulli

    ModelSelector_selector_cases_0_rep9_B

    Declaration
    public Bernoulli[] ModelSelector_selector_cases_0_rep9_B
    Field Value
    Type Description
    Bernoulli[]

    ModelSelector_selector_cases_0_uses_B

    Messages from uses of 'ModelSelector_selector_cases_0'

    Declaration
    public Bernoulli[] ModelSelector_selector_cases_0_uses_B
    Field Value
    Type Description
    Bernoulli[]

    ModelSelector_selector_cases_B

    Declaration
    public DistributionStructArray<Bernoulli, bool> ModelSelector_selector_cases_B
    Field Value
    Type Description
    DistributionStructArray<Bernoulli, Boolean>

    NoisyScore_F

    Declaration
    public Gaussian[] NoisyScore_F
    Field Value
    Type Description
    Gaussian[]

    NoisyScore_use_B

    Message from use of 'NoisyScore'

    Declaration
    public Gaussian[] NoisyScore_use_B
    Field Value
    Type Description
    Gaussian[]

    Score_B

    Declaration
    public Gaussian[] Score_B
    Field Value
    Type Description
    Gaussian[]

    Score_F

    Declaration
    public Gaussian[] Score_F
    Field Value
    Type Description
    Gaussian[]

    vBernoulli1

    The constant 'vBernoulli1'

    Declaration
    public Bernoulli vBernoulli1
    Field Value
    Type Description
    Bernoulli

    Weights_B

    Declaration
    public DistributionStructArray<Gaussian, double> Weights_B
    Field Value
    Type Description
    DistributionStructArray<Gaussian, Double>

    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[]

    Labels

    The externally-specified value of 'Labels'

    Declaration
    public bool[] Labels { get; set; }
    Property Value
    Type Description
    Boolean[]

    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

    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.

    ModelSelectorMarginal()

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

    Declaration
    public Bernoulli ModelSelectorMarginal()
    Returns
    Type Description
    Bernoulli

    The marginal distribution

    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.

    WeightsMarginal()

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

    Declaration
    public DistributionStructArray<Gaussian, double> WeightsMarginal()
    Returns
    Type Description
    DistributionStructArray<Gaussian, Double>

    The marginal distribution

    WeightsMarginalDividedByPrior()

    Returns the output message (the posterior divided by the prior) for 'Weights' given by the current state of the message passing algorithm.

    Declaration
    public DistributionStructArray<Gaussian, double> WeightsMarginalDividedByPrior()
    Returns
    Type Description
    DistributionStructArray<Gaussian, Double>

    The output message (the posterior divided by the prior)

    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
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