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    Struct DiscreteChar

    Represents a distribution over characters.

    Implements
    IDistribution<Char>
    IDistribution
    ICloneable
    Diffable
    SettableToUniform
    HasPoint<Char>
    CanGetLogProb<Char>
    SettableTo<DiscreteChar>
    SettableToProduct<DiscreteChar>
    SettableToProduct<DiscreteChar, DiscreteChar>
    SettableToRatio<DiscreteChar>
    SettableToRatio<DiscreteChar, DiscreteChar>
    SettableToPower<DiscreteChar>
    SettableToWeightedSumExact<DiscreteChar>
    SettableToWeightedSum<DiscreteChar>
    SettableToPartialUniform<DiscreteChar>
    CanGetLogAverageOf<DiscreteChar>
    CanGetLogAverageOfPower<DiscreteChar>
    CanGetAverageLog<DiscreteChar>
    CanGetMode<Char>
    Sampleable<Char>
    CanEnumerateSupport<Char>
    ISerializable
    IEquatable<DiscreteChar>
    Inherited Members
    Object.Equals(Object, Object)
    Object.GetType()
    Object.ReferenceEquals(Object, Object)
    Namespace: Microsoft.ML.Probabilistic.Distributions
    Assembly: Microsoft.ML.Probabilistic.dll
    Syntax
    [Quality(QualityBand.Experimental)]
    [Serializable]
    public struct DiscreteChar : IDistribution<char>, IDistribution, ICloneable, Diffable, SettableToUniform, HasPoint<char>, CanGetLogProb<char>, SettableTo<DiscreteChar>, SettableToProduct<DiscreteChar>, SettableToProduct<DiscreteChar, DiscreteChar>, SettableToRatio<DiscreteChar>, SettableToRatio<DiscreteChar, DiscreteChar>, SettableToPower<DiscreteChar>, SettableToWeightedSumExact<DiscreteChar>, SettableToWeightedSum<DiscreteChar>, SettableToPartialUniform<DiscreteChar>, CanGetLogAverageOf<DiscreteChar>, CanGetLogAverageOfPower<DiscreteChar>, CanGetAverageLog<DiscreteChar>, CanGetMode<char>, Sampleable<char>, CanEnumerateSupport<char>, ISerializable, IEquatable<DiscreteChar>

    Fields

    CharRangeEndExclusive

    The (exclusive) end of the character range.

    Declaration
    public const int CharRangeEndExclusive = 65536
    Field Value
    Type Description
    Int32

    LetterCharacterRanges

    Ranges of letters (for Letter()).

    Declaration
    public const string LetterCharacterRanges = "AZÀÖØÞazßöøÿ"
    Field Value
    Type Description
    String

    LowerCaseCharacterRanges

    Ranges of lowercase characters (for Lower()).

    Declaration
    public const string LowerCaseCharacterRanges = "azßöøÿ"
    Field Value
    Type Description
    String

    MixedCaseCharacterRanges

    Ranges of mixed upper and lower case characters, which are merged for computational efficiency reasons.

    Declaration
    public const string MixedCaseCharacterRanges = ""
    Field Value
    Type Description
    String
    Remarks

    In some Unicode ranges, upper and lower characters alternate which makes it very expensive to represent just lower or just upper characters using ranges. Instead, we use a loose approximation and allow characters in such ranges to be considered either lower or upper case.

    This approximation means that upper and lower case character ranges are no longer mutually exclusive.

    OnlyLowerCaseCharacterRanges

    Ranges of only lowercase characters, excluding the mixed range.

    Declaration
    public const string OnlyLowerCaseCharacterRanges = "azßöøÿ"
    Field Value
    Type Description
    String

    OnlyUpperCaseCharacterRanges

    Ranges of only uppercase characters, excluding the mixed range

    Declaration
    public const string OnlyUpperCaseCharacterRanges = "AZÀÖØÞ"
    Field Value
    Type Description
    String

    UpperCaseCharacterRanges

    Ranges of uppercase characters (for Upper()).

    Declaration
    public const string UpperCaseCharacterRanges = "AZÀÖØÞ"
    Field Value
    Type Description
    String

    Properties

    HasLogProbabilityOverride

    Gets a value indicating whether this distribution is partial uniform with a log probability override.

    Declaration
    public bool HasLogProbabilityOverride { get; }
    Property Value
    Type Description
    Boolean

    IsBroad

    Gets a value indicating whether this distribution is broad - i.e. a general class of values.

    Declaration
    public bool IsBroad { get; }
    Property Value
    Type Description
    Boolean

    IsDigit

    Gets a value indicating whether this distribution equals the distribution created by Digit().

    Declaration
    public bool IsDigit { get; }
    Property Value
    Type Description
    Boolean

    IsInitialized

    Declaration
    public bool IsInitialized { get; }
    Property Value
    Type Description
    Boolean

    IsLetter

    Gets a value indicating whether this distribution equals the distribution created by Letter().

    Declaration
    public bool IsLetter { get; }
    Property Value
    Type Description
    Boolean

    IsLetterOrDigit

    Gets a value indicating whether this distribution equals the distribution created by LetterOrDigit().

    Declaration
    public bool IsLetterOrDigit { get; }
    Property Value
    Type Description
    Boolean

    IsLower

    Gets a value indicating whether this distribution equals the distribution created by Lower().

    Declaration
    public bool IsLower { get; }
    Property Value
    Type Description
    Boolean

    IsPointMass

    Gets a value indicating whether this distribution represents a point mass.

    Declaration
    public bool IsPointMass { get; }
    Property Value
    Type Description
    Boolean

    IsUpper

    Gets a value indicating whether this distribution equals the distribution created by Upper().

    Declaration
    public bool IsUpper { get; }
    Property Value
    Type Description
    Boolean

    IsWordChar

    Gets a value indicating whether this distribution equals the distribution created by WordChar().

    Declaration
    public bool IsWordChar { get; }
    Property Value
    Type Description
    Boolean

    Item[Char]

    Gets the probability of a given character under this distribution.

    Declaration
    public double this[char value] { get; }
    Parameters
    Type Name Description
    Char value

    The character.

    Property Value
    Type Description
    Double

    The probability of the character under this distribution.

    LogProbabilityOverride

    Gets a value for the log probability override if it exists.

    Declaration
    public double? LogProbabilityOverride { get; }
    Property Value
    Type Description
    Nullable<Double>

    Point

    Gets or sets the point mass represented by the distribution.

    Declaration
    public char Point { get; set; }
    Property Value
    Type Description
    Char

    Ranges

    Gets an array of character ranges with associated probabilities.

    Declaration
    public ReadOnlyArray<DiscreteChar.CharRange> Ranges { get; }
    Property Value
    Type Description
    ReadOnlyArray<DiscreteChar.CharRange>

    An array of character ranges with associated probabilities.

    Methods

    Any()

    Creates a uniform distribution over all characters.

    Declaration
    public static DiscreteChar Any()
    Returns
    Type Description
    DiscreteChar

    The created distribution.

    AppendRegex(StringBuilder, Boolean)

    Appends a regex expression that represents this character to the supplied string builder.

    Declaration
    public void AppendRegex(StringBuilder stringBuilder, bool useFriendlySymbols = false)
    Parameters
    Type Name Description
    StringBuilder stringBuilder

    The string builder to append to

    Boolean useFriendlySymbols

    Whether to use friendly symbols."

    AppendToString(StringBuilder)

    Declaration
    public void AppendToString(StringBuilder stringBuilder)
    Parameters
    Type Name Description
    StringBuilder stringBuilder

    Clone()

    Creates a copy of this distribution.

    Declaration
    public DiscreteChar Clone()
    Returns
    Type Description
    DiscreteChar

    The created copy.

    Complement()

    Creates a distribution which is uniform over all characters that have zero probability under this distribution i.e. that are not 'in' this distribution.

    Declaration
    public DiscreteChar Complement()
    Returns
    Type Description
    DiscreteChar

    The created distribution.

    Remarks

    This is useful for defining characters that are not in a particular distribution e.g. not a letter or not a word character.

    Create(IEnumerable<DiscreteChar.CharRange>)

    Creates a distribution given a list of constant probability character ranges.

    Declaration
    [Construction(new string[]{"Ranges"})]
    public static DiscreteChar Create(IEnumerable<DiscreteChar.CharRange> ranges)
    Parameters
    Type Name Description
    IEnumerable<DiscreteChar.CharRange> ranges

    The constant-probability character ranges.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    Remarks

    The probabilities do not need to be normalized. The character ranges do not need to be sorted.

    Digit()

    Creates a uniform distribution over digits '0'..'9'.

    Declaration
    [Construction(UseWhen = "IsDigit")]
    public static DiscreteChar Digit()
    Returns
    Type Description
    DiscreteChar

    The created distribution.

    EnumerateSupport()

    Enumerates over the support of the distribution instance.

    Declaration
    public IEnumerable<char> EnumerateSupport()
    Returns
    Type Description
    IEnumerable<Char>

    The character values with non-zero mass.

    Equals(DiscreteChar)

    Checks if that equals to this distribution (i.e. represents the same distribution over characters).

    Declaration
    public bool Equals(DiscreteChar that)
    Parameters
    Type Name Description
    DiscreteChar that

    The object to compare this distribution with.

    Returns
    Type Description
    Boolean

    true if this distribution is equal to that, false otherwise.

    Equals(Object)

    Checks if obj equals to this distribution (i.e. represents the same distribution over characters).

    Declaration
    public override bool Equals(object obj)
    Parameters
    Type Name Description
    Object obj

    The object to compare this distribution with.

    Returns
    Type Description
    Boolean

    true if this distribution is equal to obj, false otherwise.

    Overrides
    ValueType.Equals(Object)

    FromVector(PiecewiseVector)

    Creates a point character from a vector of (unnormalized) character probabilities.

    Declaration
    public static DiscreteChar FromVector(PiecewiseVector vector)
    Parameters
    Type Name Description
    PiecewiseVector vector

    The vector of unnormalized probabilities.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    FromVector(Vector)

    Creates a point character from a vector of (unnormalized) character probabilities.

    Declaration
    public static DiscreteChar FromVector(Vector vector)
    Parameters
    Type Name Description
    Vector vector

    The vector of unnormalized probabilities.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    GetAverageLog(DiscreteChar)

    Computes the expected logarithm of a given distribution under this distribution.

    Declaration
    public double GetAverageLog(DiscreteChar distribution)
    Parameters
    Type Name Description
    DiscreteChar distribution

    The distribution to take the logarithm of.

    Returns
    Type Description
    Double

    sum_x this.Evaluate(x)*Math.Log(distribution.Evaluate(x))

    Remarks

    This is also known as the cross entropy.

    GetHashCode()

    Gets the hash code of this distribution.

    Declaration
    public override int GetHashCode()
    Returns
    Type Description
    Int32

    The hash code.

    Overrides
    ValueType.GetHashCode()

    GetImpliedCharClasses(DiscreteChar.CharClasses)

    Declaration
    public static DiscreteChar.CharClasses GetImpliedCharClasses(DiscreteChar.CharClasses charClass)
    Parameters
    Type Name Description
    DiscreteChar.CharClasses charClass
    Returns
    Type Description
    DiscreteChar.CharClasses

    GetLogAverageOf(DiscreteChar)

    Returns the logarithm of the probability that the current distribution would draw the same sample as a given one.

    Declaration
    public double GetLogAverageOf(DiscreteChar distribution)
    Parameters
    Type Name Description
    DiscreteChar distribution

    The given distribution.

    Returns
    Type Description
    Double

    The logarithm of the probability that distributions would draw the same sample.

    GetLogAverageOfPower(DiscreteChar, Double)

    Computes the log-integral of one distribution times another raised to a power.

    Declaration
    public double GetLogAverageOfPower(DiscreteChar distribution, double power)
    Parameters
    Type Name Description
    DiscreteChar distribution

    The other distribution

    Double power

    The power.

    Returns
    Type Description
    Double

    Math.Log(sum_x this.Evaluate(x) * Math.Pow(distribution.Evaluate(x), power))

    Remarks

    This is not the same as GetLogAverageOf(distribution^power) because it includes the normalization constant of that.

    GetLogProb(Char)

    Gets the logarithm of the probability of a given character under this distribution.

    Declaration
    public double GetLogProb(char value)
    Parameters
    Type Name Description
    Char value

    The character.

    Returns
    Type Description
    Double

    true if this distribution is a uniform distribution over all possible characters, false otherwise.

    GetMode()

    Gets the mode of this distribution.

    Declaration
    public char GetMode()
    Returns
    Type Description
    Char

    The mode.

    GetProbs()

    Gets a vector of character probabilities under this distribution.

    Declaration
    public PiecewiseVector GetProbs()
    Returns
    Type Description
    PiecewiseVector

    A vector of character probabilities.

    InRange(Char, Char)

    Creates a uniform distribution over characters in a given range.

    Declaration
    public static DiscreteChar InRange(char start, char end)
    Parameters
    Type Name Description
    Char start

    The start of the range (inclusive).

    Char end

    The end of the range (inclusive).

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    InRanges(Char[])

    Creates a distribution which is uniform over values in multiple ranges specified by pairs of start and end values. These pairs are specified as adjacent values in an array whose length must therefore be even.

    Declaration
    public static DiscreteChar InRanges(params char[] startEndPairs)
    Parameters
    Type Name Description
    Char[] startEndPairs

    The array of range starts and ends.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    InRanges(IEnumerable<Char>)

    Creates a distribution which is uniform over values in multiple ranges specified by pairs of start and end values. These pairs are specified as adjacent values in a sequence whose length must therefore be even.

    Declaration
    public static DiscreteChar InRanges(IEnumerable<char> startEndPairs)
    Parameters
    Type Name Description
    IEnumerable<Char> startEndPairs

    The sequence of range starts and ends.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    IsPartialUniform()

    Checks whether the distribution is uniform over its support.

    Declaration
    public bool IsPartialUniform()
    Returns
    Type Description
    Boolean

    true if the distribution is uniform over its support, false otherwise.

    IsUniform()

    Checks whether this distribution is a uniform distribution over all characters.

    Declaration
    public bool IsUniform()
    Returns
    Type Description
    Boolean

    true if this distribution is a uniform distribution over all possible characters, false otherwise.

    Letter()

    Creates a uniform distribution over letters.

    Declaration
    [Construction(UseWhen = "IsLetter")]
    public static DiscreteChar Letter()
    Returns
    Type Description
    DiscreteChar

    The created distribution.

    LetterOrDigit()

    Creates a uniform distribution over letters and '0'..'9'.

    Declaration
    [Construction(UseWhen = "IsLetterOrDigit")]
    public static DiscreteChar LetterOrDigit()
    Returns
    Type Description
    DiscreteChar

    The created distribution.

    Lower()

    Creates a uniform distribution over lowercase letters.

    Declaration
    [Construction(UseWhen = "IsLower")]
    public static DiscreteChar Lower()
    Returns
    Type Description
    DiscreteChar

    The created distribution.

    MaxDiff(Object)

    Gets the maximum difference between the character probabilities under this distribution and a given one.

    Declaration
    public double MaxDiff(object distribution)
    Parameters
    Type Name Description
    Object distribution

    The distribution to compute the maximum probability difference with.

    Returns
    Type Description
    Double

    The computed maximum probability difference.

    NonWordChar()

    Creates a uniform distribution over all characters except (letter, digit and '_').

    Declaration
    public static DiscreteChar NonWordChar()
    Returns
    Type Description
    DiscreteChar

    The created distribution.

    OneOf(Char[])

    Creates a distribution which is uniform over the specified set of characters.

    Declaration
    public static DiscreteChar OneOf(params char[] chars)
    Parameters
    Type Name Description
    Char[] chars

    The characters.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    OneOf(IEnumerable<Char>)

    Creates a distribution which is uniform over the specified set of characters.

    Declaration
    public static DiscreteChar OneOf(IEnumerable<char> chars)
    Parameters
    Type Name Description
    IEnumerable<Char> chars

    The characters.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    PointMass(Char)

    Creates a point mass character distribution.

    Declaration
    public static DiscreteChar PointMass(char point)
    Parameters
    Type Name Description
    Char point

    The point.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    Read(Func<Int32>, Func<Double>)

    Reads a discrete character.

    Declaration
    public static DiscreteChar Read(Func<int> readInt32, Func<double> readDouble)
    Parameters
    Type Name Description
    Func<Int32> readInt32
    Func<Double> readDouble
    Returns
    Type Description
    DiscreteChar

    Sample()

    Draws a sample from the distribution.

    Declaration
    public char Sample()
    Returns
    Type Description
    Char

    The drawn sample.

    Sample(Char)

    Draws a sample from the distribution.

    Declaration
    public char Sample(char result)
    Parameters
    Type Name Description
    Char result

    A pre-allocated storage for the sample (will be ignored).

    Returns
    Type Description
    Char

    The drawn sample.

    SetTo(DiscreteChar)

    Sets this distribution to be equal to a given distribution.

    Declaration
    public void SetTo(DiscreteChar distribution)
    Parameters
    Type Name Description
    DiscreteChar distribution

    The distribution to set this distribution to.

    SetToPartialUniform()

    Sets the distribution to be uniform over its support.

    Declaration
    public void SetToPartialUniform()

    SetToPartialUniformOf(DiscreteChar)

    Sets the distribution to be uniform over the support of a given distribution.

    Declaration
    public void SetToPartialUniformOf(DiscreteChar distribution)
    Parameters
    Type Name Description
    DiscreteChar distribution

    The distribution whose support will be used to setup the current distribution.

    SetToPartialUniformOf(DiscreteChar, Nullable<Double>)

    Sets the distribution to be uniform over the support of a given distribution.

    Declaration
    public void SetToPartialUniformOf(DiscreteChar distribution, double? logProbabilityOverride)
    Parameters
    Type Name Description
    DiscreteChar distribution

    The distribution whose support will be used to setup the current distribution.

    Nullable<Double> logProbabilityOverride

    An optional value to override for the log probability calculation against this distribution. If this is set, then the distribution will not be normalize; i.e. the probabilities will not sum to 1 over the support.

    Remarks

    Overriding the log probability calculation in this way is useful within the context of using StringDistribution to create more realistic language model priors. Distributions with this override are always uncached.

    SetToPower(DiscreteChar, Double)

    Sets the current distribution to a given distribution raised to a given power.

    Declaration
    public void SetToPower(DiscreteChar distribution, double power)
    Parameters
    Type Name Description
    DiscreteChar distribution

    The distribution to raise to the power.

    Double power

    The power.

    SetToProduct(DiscreteChar, DiscreteChar)

    Sets this distribution to a product of a given pair of distributions.

    Declaration
    public void SetToProduct(DiscreteChar distribution1, DiscreteChar distribution2)
    Parameters
    Type Name Description
    DiscreteChar distribution1

    The first distribution.

    DiscreteChar distribution2

    The second distribution.

    SetToRatio(DiscreteChar, DiscreteChar, Boolean)

    Sets the current distribution to the ratio of a given pair of distributions.

    Declaration
    public void SetToRatio(DiscreteChar numerator, DiscreteChar denominator, bool forceProper = false)
    Parameters
    Type Name Description
    DiscreteChar numerator

    The numerator in the ratio.

    DiscreteChar denominator

    The denominator in the ratio.

    Boolean forceProper

    Specifies whether the ratio must be proper.

    SetToSum(Weight, DiscreteChar, Weight, DiscreteChar)

    Sets this distribution to a weighted sum of a given pair of distributions.

    Declaration
    public void SetToSum(Weight weight1, DiscreteChar distribution1, Weight weight2, DiscreteChar distribution2)
    Parameters
    Type Name Description
    Weight weight1

    The weight of the first distribution.

    DiscreteChar distribution1

    The first distribution.

    Weight weight2

    The weight of the second distribution.

    DiscreteChar distribution2

    The second distribution.

    SetToSum(Double, DiscreteChar, Double, DiscreteChar)

    Sets this distribution to a weighted sum of a given pair of distributions.

    Declaration
    public void SetToSum(double weight1, DiscreteChar distribution1, double weight2, DiscreteChar distribution2)
    Parameters
    Type Name Description
    Double weight1

    The weight of the first distribution.

    DiscreteChar distribution1

    The first distribution.

    Double weight2

    The weight of the second distribution.

    DiscreteChar distribution2

    The second distribution.

    SetToUniform()

    Sets this distribution to a uniform distribution over all characters.

    Declaration
    public void SetToUniform()

    SwapWith(DiscreteChar)

    Swaps this distribution with a given one.

    Declaration
    public void SwapWith(DiscreteChar distribution)
    Parameters
    Type Name Description
    DiscreteChar distribution

    The distribution to swap this distribution with.

    ToLower(DiscreteChar)

    Declaration
    public static DiscreteChar ToLower(DiscreteChar unnormalizedCharDist)
    Parameters
    Type Name Description
    DiscreteChar unnormalizedCharDist
    Returns
    Type Description
    DiscreteChar

    ToString()

    Gets a string that represents this distribution.

    Declaration
    public override string ToString()
    Returns
    Type Description
    String

    A string that represents this distribution.

    Overrides
    ValueType.ToString()

    Uniform()

    Creates a uniform distribution over characters.

    Declaration
    [Construction(UseWhen = "IsUniform")]
    public static DiscreteChar Uniform()
    Returns
    Type Description
    DiscreteChar

    The created distribution.

    UniformInRange(Char, Char)

    Creates a uniform distribution over characters in a given range.

    Declaration
    public static DiscreteChar UniformInRange(char start, char end)
    Parameters
    Type Name Description
    Char start

    The start of the range (inclusive).

    Char end

    The end of the range (inclusive).

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    UniformInRanges(Char[])

    Creates a distribution which is uniform over values in multiple ranges specified by pairs of start and end values. These pairs are specified as adjacent values in an array whose length must therefore be even.

    Declaration
    public static DiscreteChar UniformInRanges(params char[] startEndPairs)
    Parameters
    Type Name Description
    Char[] startEndPairs

    The array of range starts and ends.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    UniformInRanges(IEnumerable<Char>)

    Creates a distribution which is uniform over values in multiple ranges specified by pairs of start and end values. These pairs are specified as adjacent values in a sequence whose length must therefore be even.

    Declaration
    public static DiscreteChar UniformInRanges(IEnumerable<char> startEndPairs)
    Parameters
    Type Name Description
    IEnumerable<Char> startEndPairs

    The sequence of range starts and ends.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    UniformOver(Char[])

    Creates a distribution which is uniform over the specified set of characters.

    Declaration
    public static DiscreteChar UniformOver(params char[] chars)
    Parameters
    Type Name Description
    Char[] chars

    The characters.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    UniformOver(IEnumerable<Char>)

    Creates a distribution which is uniform over the specified set of characters.

    Declaration
    public static DiscreteChar UniformOver(IEnumerable<char> chars)
    Parameters
    Type Name Description
    IEnumerable<Char> chars

    The characters.

    Returns
    Type Description
    DiscreteChar

    The created distribution.

    Upper()

    Creates a uniform distribution over uppercase letters.

    Declaration
    [Construction(UseWhen = "IsUpper")]
    public static DiscreteChar Upper()
    Returns
    Type Description
    DiscreteChar

    The created distribution.

    Whitespace()

    Creates a uniform distribution over whitespace characters ('\t'..'\r', ' ').

    Declaration
    public static DiscreteChar Whitespace()
    Returns
    Type Description
    DiscreteChar

    The created distribution.

    WordChar()

    Creates a uniform distribution over word characters (letter, digit and '_').

    Declaration
    [Construction(UseWhen = "IsWordChar")]
    public static DiscreteChar WordChar()
    Returns
    Type Description
    DiscreteChar

    The created distribution.

    Write(Action<Int32>, Action<Double>)

    Writes a discrete character.

    Declaration
    public void Write(Action<int> writeInt32, Action<double> writeDouble)
    Parameters
    Type Name Description
    Action<Int32> writeInt32
    Action<Double> writeDouble

    Explicit Interface Implementations

    ICloneable.Clone()

    Creates a copy of this distribution.

    Declaration
    object ICloneable.Clone()
    Returns
    Type Description
    Object

    The created copy.

    ISerializable.GetObjectData(SerializationInfo, StreamingContext)

    Declaration
    void ISerializable.GetObjectData(SerializationInfo info, StreamingContext context)
    Parameters
    Type Name Description
    SerializationInfo info
    StreamingContext context

    Implements

    IDistribution<T>
    IDistribution
    System.ICloneable
    Diffable
    SettableToUniform
    HasPoint<T>
    CanGetLogProb<T>
    SettableTo<T>
    SettableToProduct<T>
    SettableToProduct<T, U>
    SettableToRatio<T>
    SettableToRatio<T, U>
    SettableToPower<T>
    SettableToWeightedSumExact<T>
    SettableToWeightedSum<T>
    SettableToPartialUniform<TDist>
    CanGetLogAverageOf<T>
    CanGetLogAverageOfPower<T>
    CanGetAverageLog<T>
    CanGetMode<ModeType>
    Sampleable<T>
    CanEnumerateSupport<T>
    System.Runtime.Serialization.ISerializable
    System.IEquatable<T>
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