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

Detailed Description

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

Specialization of generic mean which works with SGMatrix and uses Eigen3 as backend for computing rowwise mean.

Definition at line 207 of file MeanEigen3.h.

Public Types

typedef Matrix::Scalar T
 
typedef int2float< T >::floatType ReturnDataType
 
typedef Eigen::Matrix< T,
Eigen::Dynamic, Eigen::Dynamic > 
MatrixXt
 

Static Public Member Functions

static SGVector< ReturnDataTypecompute (SGMatrix< T > m, bool no_diag)
 
static void compute (SGMatrix< T > mat, SGVector< ReturnDataType > result, bool no_diag)
 

Member Typedef Documentation

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

Eigen matrix type

Definition at line 216 of file MeanEigen3.h.

typedef int2float<T>::floatType ReturnDataType

int2float type

Definition at line 213 of file MeanEigen3.h.

typedef Matrix::Scalar T

Scalar type

Definition at line 210 of file MeanEigen3.h.

Member Function Documentation

static SGVector<ReturnDataType> compute ( SGMatrix< T m,
bool  no_diag 
)
static

Method that computes the rowwise mean of SGMatrix using Eigen3

Parameters
mthe matrix whose rowwise mean has to be computed
no_diagif true, diagonal entries are excluded from the mean
Returns
the rowwise mean computed as \(\1/N \sum_{j=1}^N m_{i,j}\)

Definition at line 225 of file MeanEigen3.h.

static void compute ( SGMatrix< T mat,
SGVector< ReturnDataType result,
bool  no_diag 
)
static

Method that computes the rowwise mean of SGMatrix using Eigen3

Parameters
matthe matrix whose rowwise mean has to be computed
no_diagif true, diagonal entries are excluded from the mean
resultPre-allocated vector for the result of the computation

Definition at line 239 of file MeanEigen3.h.


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

SHOGUN Machine Learning Toolbox - Documentation