Search Results for

    Show / Hide Table of Contents

    Class TruncatedGammaFromShapeAndRateOp

    Inheritance
    Object
    TruncatedGammaFromShapeAndRateOp
    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.Factors
    Assembly: Microsoft.ML.Probabilistic.dll
    Syntax
    [FactorMethod(typeof(Factor), "TruncatedGammaFromShapeAndRate", new Type[]{})]
    [Quality(QualityBand.Experimental)]
    public static class TruncatedGammaFromShapeAndRateOp

    Methods

    RateAverageConditional(TruncatedGamma, Double, Double, Double)

    Declaration
    public static Gamma RateAverageConditional(TruncatedGamma sample, double shape, double lowerBound, double upperBound)
    Parameters
    Type Name Description
    TruncatedGamma sample
    Double shape
    Double lowerBound
    Double upperBound
    Returns
    Type Description
    Gamma

    RateAverageConditional(Double, Double, Double, Double)

    Declaration
    public static Gamma RateAverageConditional(double sample, double shape, double lowerBound, double upperBound)
    Parameters
    Type Name Description
    Double sample
    Double shape
    Double lowerBound
    Double upperBound
    Returns
    Type Description
    Gamma

    RateAverageLogarithm(TruncatedGamma, Double, Double, Double)

    Declaration
    public static Gamma RateAverageLogarithm(TruncatedGamma sample, double shape, double lowerBound, double upperBound)
    Parameters
    Type Name Description
    TruncatedGamma sample
    Double shape
    Double lowerBound
    Double upperBound
    Returns
    Type Description
    Gamma

    RateAverageLogarithm(Double, Double, Double, Double)

    Declaration
    public static Gamma RateAverageLogarithm(double sample, double shape, double lowerBound, double upperBound)
    Parameters
    Type Name Description
    Double sample
    Double shape
    Double lowerBound
    Double upperBound
    Returns
    Type Description
    Gamma

    SampleAverageConditional(Double, Gamma, Double, Double)

    Declaration
    public static TruncatedGamma SampleAverageConditional(double shape, Gamma rate, double lowerBound, double upperBound)
    Parameters
    Type Name Description
    Double shape
    Gamma rate
    Double lowerBound
    Double upperBound
    Returns
    Type Description
    TruncatedGamma

    SampleAverageConditional(Double, Double, Double, Double)

    Declaration
    public static TruncatedGamma SampleAverageConditional(double shape, double rate, double lowerBound, double upperBound)
    Parameters
    Type Name Description
    Double shape
    Double rate
    Double lowerBound
    Double upperBound
    Returns
    Type Description
    TruncatedGamma

    SampleAverageLogarithm(Double, Gamma, Double, Double)

    Declaration
    public static TruncatedGamma SampleAverageLogarithm(double shape, Gamma rate, double lowerBound, double upperBound)
    Parameters
    Type Name Description
    Double shape
    Gamma rate
    Double lowerBound
    Double upperBound
    Returns
    Type Description
    TruncatedGamma

    SampleAverageLogarithm(Double, Double, Double, Double)

    Declaration
    public static TruncatedGamma SampleAverageLogarithm(double shape, double rate, double lowerBound, double upperBound)
    Parameters
    Type Name Description
    Double shape
    Double rate
    Double lowerBound
    Double upperBound
    Returns
    Type Description
    TruncatedGamma
    In This Article
    Back to top Copyright © .NET Foundation. All rights reserved.