SHOGUN  5.0.0
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Modules
List of all members | Public Types | Static Public Member Functions
rowwise_mean< Backend, Matrix > Struct Template Reference

Detailed Description

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

Generic class rowwise_mean which provides a static compute method.

Definition at line 117 of file MeanEigen3.h.

Public Types

typedef Matrix::Scalar T
 
typedef int2float< T >::floatType ReturnDataType
 

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 int2float<T>::floatType ReturnDataType

int2float type

Definition at line 123 of file MeanEigen3.h.

typedef Matrix::Scalar T

Scalar type

Definition at line 120 of file MeanEigen3.h.

Member Function Documentation

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

Method that computes the row wise sum of co-efficients of SGMatrix using Eigen3

Parameters
mthe matrix whose rowwise sum of co-efficients has to be computed
no_diagif true, diagonal entries are excluded from the sum
Returns
the rowwise sum of co-efficients computed as \(s_i=\sum_{j}m_{i,j}\)
static void compute ( SGMatrix< T mat,
SGVector< ReturnDataType result,
bool  no_diag 
)
static

Method that computes the row wise sum of co-efficients of SGMatrix using Eigen3

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

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

SHOGUN Machine Learning Toolbox - Documentation