#include <af/defines.h>

Namespaces
namespace	af

Functions
AFAPI array	mean (const array &in, const dim_t dim=-1)
	C++ Interface for mean. More...

AFAPI array	mean (const array &in, const array &weights, const dim_t dim=-1)
	C++ Interface for mean of weighted inputs. More...

AFAPI array	var (const array &in, const bool isbiased=false, const dim_t dim=-1)
	C++ Interface for variance. More...

AFAPI array	var (const array &in, const af_var_bias bias, const dim_t dim=-1)
	C++ Interface for variance. More...

AFAPI array	var (const array &in, const array &weights, const dim_t dim=-1)
	C++ Interface for variance of weighted inputs. More...

AFAPI void	meanvar (array &mean, array &var, const array &in, const array &weights, const af_var_bias bias=AF_VARIANCE_POPULATION, const dim_t dim=-1)
	C++ Interface for mean and variance. More...

AFAPI array	stdev (const array &in, const dim_t dim=-1)
	C++ Interface for standard deviation. More...

AFAPI array	stdev (const array &in, const af_var_bias bias, const dim_t dim=-1)
	C++ Interface for standard deviation. More...

AFAPI array	cov (const array &X, const array &Y, const bool isbiased=false)
	C++ Interface for covariance. More...

AFAPI array	cov (const array &X, const array &Y, const af_var_bias bias)
	C++ Interface for covariance. More...

AFAPI array	median (const array &in, const dim_t dim=-1)
	C++ Interface for median. More...

template<typename T >
AFAPI T	mean (const array &in)
	C++ Interface for mean of all elements. More...

template<typename T >
AFAPI T	mean (const array &in, const array &weights)
	C++ Interface for mean of all elements in weighted input. More...

template<typename T >
AFAPI T	var (const array &in, const bool isbiased=false)
	C++ Interface for variance of all elements. More...

template<typename T >
AFAPI T	var (const array &in, const af_var_bias bias)
	C++ Interface for variance of all elements. More...

template<typename T >
AFAPI T	var (const array &in, const array &weights)
	C++ Interface for variance of all elements in weighted input. More...

template<typename T >
AFAPI T	stdev (const array &in)
	C++ Interface for standard deviation of all elements. More...

template<typename T >
AFAPI T	stdev (const array &in, const af_var_bias bias)
	C++ Interface for standard deviation of all elements. More...

template<typename T >
AFAPI T	median (const array &in)
	C++ Interface for median of all elements. More...

template<typename T >
AFAPI T	corrcoef (const array &X, const array &Y)
	C++ Interface for correlation coefficient. More...

AFAPI void	topk (array &values, array &indices, const array &in, const int k, const int dim=-1, const topkFunction order=AF_TOPK_MAX)
	C++ Interface for finding top k elements along a given dimension. More...

AFAPI af_err	af_mean (af_array *out, const af_array in, const dim_t dim)
	C Interface for mean. More...

AFAPI af_err	af_mean_weighted (af_array *out, const af_array in, const af_array weights, const dim_t dim)
	C Interface for mean of weighted input array. More...

AFAPI af_err	af_var (af_array *out, const af_array in, const bool isbiased, const dim_t dim)
	C Interface for variance. More...

AFAPI af_err	af_var_v2 (af_array *out, const af_array in, const af_var_bias bias, const dim_t dim)
	C Interface for variance. More...

AFAPI af_err	af_var_weighted (af_array *out, const af_array in, const af_array weights, const dim_t dim)
	C Interface for variance of weighted input array. More...

AFAPI af_err	af_meanvar (af_array mean, af_array var, const af_array in, const af_array weights, const af_var_bias bias, const dim_t dim)
	C Interface for mean and variance. More...

AFAPI af_err	af_stdev (af_array *out, const af_array in, const dim_t dim)
	C Interface for standard deviation. More...

AFAPI af_err	af_stdev_v2 (af_array *out, const af_array in, const af_var_bias bias, const dim_t dim)
	C Interface for standard deviation. More...

AFAPI af_err	af_cov (af_array *out, const af_array X, const af_array Y, const bool isbiased)
	C Interface for covariance. More...

AFAPI af_err	af_cov_v2 (af_array *out, const af_array X, const af_array Y, const af_var_bias bias)
	C Interface for covariance. More...

AFAPI af_err	af_median (af_array *out, const af_array in, const dim_t dim)
	C Interface for median. More...

AFAPI af_err	af_mean_all (double real, double imag, const af_array in)
	C Interface for mean of all elements. More...

AFAPI af_err	af_mean_all_weighted (double real, double imag, const af_array in, const af_array weights)
	C Interface for mean of all elements in weighted input. More...

AFAPI af_err	af_var_all (double realVal, double imagVal, const af_array in, const bool isbiased)
	C Interface for variance of all elements. More...

AFAPI af_err	af_var_all_v2 (double realVal, double imagVal, const af_array in, const af_var_bias bias)
	C Interface for variance of all elements. More...

AFAPI af_err	af_var_all_weighted (double realVal, double imagVal, const af_array in, const af_array weights)
	C Interface for variance of all elements in weighted input. More...

AFAPI af_err	af_stdev_all (double real, double imag, const af_array in)
	C Interface for standard deviation of all elements. More...

AFAPI af_err	af_stdev_all_v2 (double real, double imag, const af_array in, const af_var_bias bias)
	C Interface for standard deviation of all elements. More...

AFAPI af_err	af_median_all (double realVal, double imagVal, const af_array in)
	C Interface for median. More...

AFAPI af_err	af_corrcoef (double realVal, double imagVal, const af_array X, const af_array Y)
	C Interface for correlation coefficient. More...

AFAPI af_err	af_topk (af_array values, af_array indices, const af_array in, const int k, const int dim, const af_topk_function order)
	C Interface for finding top k elements along a given dimension. More...

Function Documentation

◆ af_meanvar()

AFAPI af_err af_meanvar	(	af_array *	mean,
		af_array *	var,
		const af_array	in,
		const af_array	weights,
		const af_var_bias	bias,
		const dim_t	dim
	)

C Interface for mean and variance.

Parameters

[out]	mean	The mean of the input array along `dim` dimension
[out]	var	The variance of the input array along the `dim` dimension
[in]	in	The input array
[in]	weights	The weights to scale the input array before calculating the mean and varience. If empty, the input is not scaled
[in]	bias	The type of bias used for variance calculation
[in]	dim	The dimension along which the variance and mean are calculated. Default is -1 meaning the first non-zero dim

Namespaces

Functions

Function Documentation

◆ af_meanvar()