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MultilabelLikelihoodClassifierBase< TInput> . LogLikelihoods Method (TInput[] ,Int32[] [] ,Double[] [] )

Predicts a class label vector for each 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: 3.8.0
Syntax
public double[][] LogLikelihoods(
	TInput[] input,
	ref int[][] decision,
	double[][] result
)
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Parameters

input
Type:TInput[]
A set of input vectors.
decision
Type:System.Int32[][]
The labels predicted by the classifier.
result
Type:System.Double[][]
An array where the probabilities will be stored, avoiding unnecessary memory allocations.

Return Value

Type:Double[][]

Implements

IMultilabelLikelihoodClassifierBase<TInput, TClasses>.LogLikelihoods(TInput[],TClasses[],Double[][])
See Also