SupportVectorMachineTKernel, TInputCompute Method (TInput, Double)

Note: This API is now obsolete.

Computes the given input to produce the corresponding output.

Namespace: Accord.MachineLearning.VectorMachines
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax

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[ObsoleteAttribute("Please use the Decide or Transform methods instead.")]
public virtual int Compute(
	TInput inputs,
	out double output
)

<ObsoleteAttribute("Please use the Decide or Transform methods instead.")>
Public Overridable Function Compute ( 
	inputs As TInput,
	<OutAttribute> ByRef output As Double
) As Integer

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Parameters

inputs: Type: TInput
An input vector.
output: Type: SystemDouble
The output of the machine. If this is a probabilistic machine, the output is the probability of the positive class. If this is a standard machine, the output is the distance to the decision hyperplane in feature space.

Return Value

Type: Int32
The decision label for the given input.

Remarks

For a binary decision problem, the decision for the negative or positive class is typically computed by taking the sign of the machine's output.

Reference

SupportVectorMachineTKernel, TInput Class

Compute Overload

Accord.MachineLearning.VectorMachines Namespace