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OneVsRestTModel, TInputLogLikelihood Method (TInput, Int32, Boolean)
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Computes a log-likelihood measuring the association between
the given input vector and a given
classIndex.
Namespace:
Accord.MachineLearning
Assembly:
Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax public override double LogLikelihood(
TInput input,
int classIndex,
out bool decision
)
Public Overrides Function LogLikelihood (
input As TInput,
classIndex As Integer,
<OutAttribute> ByRef decision As Boolean
) As Double
Request Example
View SourceParameters
- input
- Type: TInput
The input vector. - classIndex
- Type: SystemInt32
The index of the class whose score will be computed. - decision
- Type: SystemBoolean
The class label associated with the input
vector, as predicted by the classifier.
Return Value
Type:
DoubleSee Also