|
BinaryLikelihoodClassifierBaseTInputProbability Method (TInput, Boolean, Double)
|
Predicts a class label for each input vector, returning the
probability that each vector belongs to its predicted class.
Namespace:
Accord.MachineLearning
Assembly:
Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax public double[] Probability(
TInput[] input,
ref bool[] decision,
double[] result
)
Public Function Probability (
input As TInput(),
ByRef decision As Boolean(),
result As Double()
) As Double()
Request Example
View SourceParameters
- input
- Type: TInput
A set of input vectors. - decision
- Type: SystemBoolean
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
IMulticlassLikelihoodClassifierBaseTInput, TClassesProbability(TInput, TClasses, Double)See Also