Perceptron Struct Reference

#include <kernel.h>

Inheritance diagram for Perceptron:

[legend]Collaboration diagram for Perceptron:

[legend]List of all members.

Public Member Functions
virtual REAL	operator() (const Input &a, const Input &b) const
	The inner-product of two input vectors.
virtual void	set_data (const pDataSet &pd)
	Store a dataset in order to compute the kernel matrix.
virtual REAL	matrix (UINT i, UINT j) const
	The inner-product of two stored inputs with index i and j.
virtual void	set_params (SVM_detail *) const
Protected Attributes
std::vector< REAL >	x_norm2
	cached inner-product of data input

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Detailed Description

Definition at line 90 of file kernel.h.

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Member Function Documentation

virtual REAL matrix (  UINT  i, UINT  j )  const [inline, virtual]

The inner-product of two stored inputs with index i and j. Reimplemented from Kernel. Reimplemented in RBF. Definition at line 106 of file kernel.h. References DOTPROD, and LearnModel::ptd.

virtual REAL operator() (  const Input &  a, const Input &  b )  const [inline, virtual]

The inner-product of two input vectors. Implements Kernel. Reimplemented in RBF. Definition at line 95 of file kernel.h. References lemga::kernel::norm_2().

virtual void set_data (  const pDataSet &  pd  )  [inline, virtual]

Store a dataset in order to compute the kernel matrix. Reimplemented from Kernel. Definition at line 99 of file kernel.h. References DOTPROD, and LearnModel::ptd.

void set_params (  SVM_detail *   )  const [virtual]

In order to keep the SVM interface simple and avoid member functions specific to kernels (e.g., set_gamma()), we use Kernel to pass kernel parameters to SVM_detail. Implements Kernel. Reimplemented in RBF. Definition at line 173 of file svm.cpp.

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Member Data Documentation

std::vector<REAL> x_norm2 [protected]

cached inner-product of data input Definition at line 92 of file kernel.h.

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The documentation for this struct was generated from the following files:

• kernel.h
• svm.cpp

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