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BinaryLikelihoodClassifierBaseTInputLogLikelihoods Method (TInput, Int32, Double)

Predicts a class label vector for the given input vector, returning the log-likelihoods of the input vector belonging to each possible class.

Namespace:  Accord.MachineLearning
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.7.0
Syntax
public double[] LogLikelihoods(
	TInput input,
	out int decision,
	double[] result
)
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Parameters

input
Type: TInput
A set of input vectors.
decision
Type: SystemInt32
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 distances will be stored, avoiding unnecessary memory allocations.

Return Value

Type: Double
System.Double[].

Implements

IMultilabelOutLikelihoodClassifierTInput, TClassesLogLikelihoods(TInput, TClasses, Double)
See Also