//! More...
Classes | |
class | op_mean |
Class for finding mean values of a matrix. More... | |
Functions | |
template<typename eT > | |
static eT | op_mean::direct_mean (const eT *const X, const u32 N) |
find the mean value of an array | |
template<typename eT > | |
static eT | op_mean::direct_mean (const subview< eT > &X) |
find the mean value of a subview | |
template<typename eT > | |
static eT | op_mean::direct_mean (const diagview< eT > &X) |
find the mean value of a diagview | |
template<typename T1 > | |
static void | op_mean::apply (Mat< typename T1::elem_type > &out, const Op< T1, op_mean > &in) |
//! For each row or for each column, find the mean value. //! The result is stored in a dense matrix that has either one column or one row. //! The dimension, for which the means are found, is set via the mean() function. |
//!
eT op_mean::direct_mean | ( | const eT *const | X, | |
const u32 | N | |||
) | [inline, static, inherited] |
find the mean value of an array
Definition at line 25 of file op_mean_meat.hpp.
Referenced by apply(), and mean().
{ arma_extra_debug_sigprint(); eT val = eT(0); for(u32 i=0; i<n_elem; ++i) { val += X[i]; } return val / eT(n_elem); }
eT op_mean::direct_mean | ( | const subview< eT > & | X | ) | [inline, static, inherited] |
find the mean value of a subview
Definition at line 45 of file op_mean_meat.hpp.
References subview< eT >::n_elem.
eT op_mean::direct_mean | ( | const diagview< eT > & | X | ) | [inline, static, inherited] |
find the mean value of a diagview
Definition at line 65 of file op_mean_meat.hpp.
References diagview< eT >::n_elem.
void op_mean::apply | ( | Mat< typename T1::elem_type > & | out, | |
const Op< T1, op_mean > & | in | |||
) | [inline, static, inherited] |
//! For each row or for each column, find the mean value. //! The result is stored in a dense matrix that has either one column or one row. //! The dimension, for which the means are found, is set via the mean() function.
Definition at line 88 of file op_mean_meat.hpp.
References Mat< eT >::at(), Op< T1, op_type >::aux_u32_a, Mat< eT >::colptr(), direct_mean(), unwrap_check< T1 >::M, Op< T1, op_type >::m, Mat< eT >::n_cols, Mat< eT >::n_elem, Mat< eT >::n_rows, and Mat< eT >::set_size().
{ arma_extra_debug_sigprint(); typedef typename T1::elem_type eT; const unwrap_check<T1> tmp(in.m, out); const Mat<eT>& X = tmp.M; arma_debug_check( (X.n_elem == 0), "mean(): given matrix has no elements" ); const u32 dim = in.aux_u32_a; arma_debug_check( (dim > 1), "mean(): incorrect usage. dim must be 0 or 1"); if(dim == 0) { arma_extra_debug_print("op_mean::apply(), dim = 0"); out.set_size(1, X.n_cols); for(u32 col=0; col<X.n_cols; ++col) { out[col] = op_mean::direct_mean( X.colptr(col), X.n_rows ); } } else if(dim == 1) { arma_extra_debug_print("op_mean::apply(), dim = 1"); out.set_size(X.n_rows, 1); for(u32 row=0; row<X.n_rows; ++row) { eT val = eT(0); for(u32 col=0; col<X.n_cols; ++col) { val += X.at(row,col); } out[row] = val / eT(X.n_cols); } } }