LogLikelihoodT Class |
Namespace: Accord.Math.Distances
[SerializableAttribute] public sealed class LogLikelihood<T> : IDistance<double[], T>, IDistance<double[], IMixtureComponent<T>> where T : MultivariateContinuousDistribution
The LogLikelihoodT type exposes the following members.
Name | Description | |
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LogLikelihoodT |
Initializes a new instance of the LogLikelihoodT class.
|
Name | Description | |
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Distance(Double, IMixtureComponentT) |
Computes the distance d(x,y) between points
x and y.
| |
Distance(Double, T) |
Computes the distance d(x,y) between points
x and y.
| |
Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
GetType | Gets the Type of the current instance. (Inherited from Object.) | |
ToString | Returns a string that represents the current object. (Inherited from Object.) |
Name | Description | |
---|---|---|
HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |
IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) | |
To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) | |
ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |