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IMulticlassLikelihoodClassifierBaseTInput, TClassesLogLikelihood Method (TInput, TClasses, Double)
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Predicts a class label for each input vector, returning the
log-likelihood that each vector belongs to its predicted class.
Namespace:
Accord.MachineLearning
Assembly:
Accord (in Accord.dll) Version: 3.8.0
Syntax double[] LogLikelihood(
TInput[] input,
ref TClasses[] decision,
double[] result
)
Function LogLikelihood (
input As TInput(),
ByRef decision As TClasses(),
result As Double()
) As Double()
Parameters
- input
- Type: TInput
A set of input vectors. - decision
- Type: TClasses
The class labels associated with each input
vector, as predicted by the classifier. If passed as null, the classifier
will create a new array. - result
- Type: SystemDouble
An array where the log-likelihoods will be stored,
avoiding unnecessary memory allocations.
Return Value
Type:
DoubleSee Also