ONE_CLASS_Q

Full name Microsoft.VisualBasic.MachineLearning.SVM.ONE_CLASS_Q Assembly Microsoft.VisualBasic.MachineLearning Members 4

The one-class SVM formulation of the kernel matrix.

01 Syntax

Microsoft.VisualBasic.MachineLearning.SVM.ONE_CLASS_Q

02 Methods

Name	Overloads	Summary
.ctor	1	Create the one-class SVM formulation of the kernel matrix.
GetQ	1	Request a column of the kernel matrix.
GetQD	1	Gets the diagonal elements of the kernel matrix.
SwapIndex	1	Swap the position of the two samples in the kernel matrix and the cached diagonal elements.

03 Members

method .ctor #

Create the one-class SVM formulation of the kernel matrix.

Parameters

Name	Type	Description
`prob`	Problem	The training data.
`param`	Parameter	The training parameters.

method GetQ #

GetQ(Int32, Int32)

Request a column of the kernel matrix.

Parameters

Name	Type	Description
`i`	`Int32`	The zero based index of the target row.
`len`	`Int32`	The number of the elements that will be requested.

Returns

An array which contains the requested elements of the target column.

method GetQD #

GetQD

Gets the diagonal elements of the kernel matrix.

Returns

An array which contains the diagonal elements Q(i, i).

method SwapIndex #

SwapIndex(Int32, Int32)

Swap the position of the two samples in the kernel matrix and the cached diagonal elements.

Parameters

Name	Type	Description
`i`	`Int32`	The zero based index of the first sample.
`j`	`Int32`	The zero based index of the second sample.