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squared_error< Backend::EIGEN3, Matrix > Struct Template Reference

Detailed Description

template<class Matrix>
struct shogun::linalg::implementation::special_purpose::squared_error< Backend::EIGEN3, Matrix >

Specialization of squared_error for the Eigen3 backend

Definition at line 542 of file implementation/SpecialPurpose.h.

Public Types

typedef Matrix::Scalar T
 
typedef Eigen::Matrix< T,
Eigen::Dynamic, Eigen::Dynamic > 
MatrixXt
 

Static Public Member Functions

static T compute (SGMatrix< T > P, SGMatrix< T > Q)
 

Member Typedef Documentation

typedef Eigen::Matrix<T,Eigen::Dynamic,Eigen::Dynamic> MatrixXt

Eigen matrix type

Definition at line 548 of file implementation/SpecialPurpose.h.

typedef Matrix::Scalar T

Scalar type

Definition at line 545 of file implementation/SpecialPurpose.h.

Member Function Documentation

static T compute ( SGMatrix< T P,
SGMatrix< T Q 
)
static

Returns the squared error between P and Q. The squared error is defined as \( E(P,Q) = \frac{1}{2} \sum_{ij} (P[i,j]-Q[i,j])^2 \)

Definition at line 553 of file implementation/SpecialPurpose.h.


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

SHOGUN Machine Learning Toolbox - Documentation