mean

Find the mean of values in the input. More...

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...
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...
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_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...

Detailed Description

Find the mean of values in the input.

This function performs the operation across all batches present in the input simultaneously.

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Function Documentation

AFAPI af_err af_mean	(	af_array *	out,
		const af_array	in,
		const dim_t	dim
	)

C Interface for mean.

Parameters

[out]	out	will contain the mean of the input array along dimension dim
[in]	in	is the input array
[in]	dim	the dimension along which the mean is extracted

Returns

AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned.

AFAPI af_err af_mean_all	(	double *	real,
		double *	imag,
		const af_array	in
	)

C Interface for mean of all elements.

Parameters

[out]	real	will contain the real part of mean of the entire input array
[out]	imag	will contain the imaginary part of mean of the entire input array
[in]	in	is the input array

Returns

AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned.

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.

Parameters

[out]	real	will contain the real part of mean of the entire weighted input array
[out]	imag	will contain the imaginary part of mean of the entire weighted input array
[in]	in	is the input array
[in]	weights	is used to scale input in before getting mean

Returns

AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned.

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.

Parameters

[out]	out	will contain the mean of the input array along dimension dim
[in]	in	is the input array
[in]	weights	is used to scale input in before getting mean
[in]	dim	the dimension along which the mean is extracted

Returns

AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned.

AFAPI array af::mean	(	const array &	in,
		const dim_t	dim = -1
	)

C++ Interface for mean.

Parameters

[in]	in	is the input array
[in]	dim	the dimension along which the mean is extracted

Returns

the mean of the input array along dimension dim

Note

dim is -1 by default. -1 denotes the first non-singleton dimension.

Examples:

financial/heston_model.cpp, image_processing/adaptive_thresholding.cpp, and machine_learning/naive_bayes.cpp.

AFAPI array af::mean	(	const array &	in,
		const array &	weights,
		const dim_t	dim = -1
	)

C++ Interface for mean of weighted inputs.

Parameters

[in]	in	is the input array
[in]	weights	is used to scale input in before getting mean
[in]	dim	the dimension along which the mean is extracted

Returns

the mean of the weighted input array along dimension dim

Note

dim is -1 by default. -1 denotes the first non-singleton dimension.

AFAPI T af::mean

(

const array &

in

)

C++ Interface for mean of all elements.

Parameters

[in]

in

is the input array

Returns

mean of the entire input array

AFAPI T af::mean	(	const array &	in,
		const array &	weights
	)

C++ Interface for mean of all elements in weighted input.

Parameters

[in]	in	is the input array
[in]	weights	is used to scale input in before getting mean

Returns

mean of the entire weighted input array