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MultilabelLikelihoodClassifierBaseTInputProbabilities Method (TInput, Int32, Double)
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Predicts a class label vector for the given input vector, returning the
probabilities 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[] Probabilities(
TInput input,
out int decision,
double[] result
)
Public Function Probabilities (
input As TInput,
<OutAttribute> ByRef decision As Integer,
result As Double()
) As Double()
Request Example
View SourceParameters
- 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 probabilities will be stored,
avoiding unnecessary memory allocations.
Return Value
Type:
DoubleImplements
IMultilabelOutLikelihoodClassifierTInput, TClassesProbabilities(TInput, TClasses, Double)See Also