KernelEstimateComplexityTKernel, TInput Method (TKernel, TInput, Int32)

Estimates the complexity parameter C, present in many SVM algorithms, for a given kernel and an unbalanced data set by summing every element on the diagonal of the kernel matrix and using an heuristic based on it.

Namespace: Accord.Statistics.Kernels
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

Copy

public static Tuple<double, double> EstimateComplexity<TKernel, TInput>(
	this TKernel kernel,
	TInput[] inputs,
	int[] outputs
)
where TKernel : Object, IKernel<TInput>

<ExtensionAttribute>
Public Shared Function EstimateComplexity(Of TKernel As {Object, IKernel(Of TInput)}, TInput) ( 
	kernel As TKernel,
	inputs As TInput(),
	outputs As Integer()
) As Tuple(Of Double, Double)

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Parameters

kernel: Type: TKernel
The kernel function.
inputs: Type: TInput
The input samples.
outputs: Type: SystemInt32
The output samples.

Type Parameters

TKernel
TInput

Return Value

Type: TupleDouble, Double
A suitable value for positive C and negative C, respectively.

Usage Note

In Visual Basic and C#, you can call this method as an instance method on any object of type . When you use instance method syntax to call this method, omit the first parameter. For more information, see Extension Methods (Visual Basic) or Extension Methods (C# Programming Guide).

Reference

Kernel Class

EstimateComplexity Overload

Accord.Statistics.Kernels Namespace