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

Functions
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...

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...

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_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...

Detailed Description

Find the variance of values in the input.

This function performs the operation across all dimensions of the input array.

Function Documentation

◆ af_var()

AFAPI af_err af_var	(	af_array *	out,
		const af_array	in,
		const bool	isbiased,
		const dim_t	dim
	)

C Interface for variance.

Parameters

[out]	out	will contain the variance of the input array along dimension `dim`
[in]	in	is the input array
[in]	isbiased	is boolean denoting Population variance (false) or Sample Variance (true)
[in]	dim	the dimension along which the variance is extracted

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

Deprecated:: Use af_var_v2 instead

◆ af_var_all()

AFAPI af_err af_var_all	(	double *	realVal,
		double *	imagVal,
		const af_array	in,
		const bool	isbiased
	)

C Interface for variance of all elements.

Parameters

[out]	realVal	will contain the real part of variance of the entire input array
[out]	imagVal	will contain the imaginary part of variance of the entire input array
[in]	in	is the input array
[in]	isbiased	is boolean denoting Population variance (false) or Sample Variance (true)

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

Deprecated:: Use af_var_all_v2 instead

◆ af_var_all_v2()

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.

Parameters

[out]	realVal	will contain the real part of variance of the entire input array
[out]	imagVal	will contain the imaginary part of variance of the entire input array
[in]	in	is the input array
[in]	bias	The type of bias used for variance calculation. Takes of value of type af_var_bias

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

◆ af_var_all_weighted()

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.

Parameters

[out]	realVal	will contain the real part of variance of the entire weighted input array
[out]	imagVal	will contain the imaginary part of variance of the entire weighted input array
[in]	in	is the input array
[in]	weights	is used to scale input `in` before getting variance

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

◆ af_var_v2()

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.

Parameters

[out]	out	will contain the variance of the input array along dimension `dim`
[in]	in	is the input array
[in]	bias	The type of bias used for variance calculation. Takes of value of type af_var_bias
[in]	dim	the dimension along which the variance is extracted

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

◆ af_var_weighted()

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.

Parameters

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

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

◆ var() [1/6]

AFAPI T var	(	const array &	in,
		const af_var_bias	bias
	)

C++ Interface for variance of all elements.

Parameters

[in]	in	is the input array
[in]	bias	The type of bias used for variance calculation. Takes of value of type af_var_bias.

Returns: variance of the in array

◆ var() [2/6]

AFAPI array var	(	const array &	in,
		const af_var_bias	bias,
		const dim_t	dim = `-1`
	)

C++ Interface for variance.

Parameters

[in]	in	is the input array
[in]	bias	The type of bias used for variance calculation. Takes o value of type af_var_bias.
[in]	dim	the dimension along which the variance is extracted

Returns: the variance of the input array along dimension dim

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

◆ var() [3/6]

AFAPI T var	(	const array &	in,
		const array &	weights
	)

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

Parameters

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

Returns: variance of the entire input array

◆ var() [4/6]

AFAPI array var	(	const array &	in,
		const array &	weights,
		const dim_t	dim = `-1`
	)

C++ Interface for variance of weighted inputs.

Parameters

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

Returns: the variance of the weighted input array along dimension dim

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

◆ var() [5/6]

AFAPI T var	(	const array &	in,
		const bool	isbiased = `false`
	)

C++ Interface for variance of all elements.

Parameters

[in]	in	is the input array
[in]	isbiased	is boolean denoting Population variance (false) or Sample Variance (true)

Returns: variance of the entire input array

Deprecated:: Use af::var that takes af_var_bias instead

◆ var() [6/6]

AFAPI array var	(	const array &	in,
		const bool	isbiased = `false`,
		const dim_t	dim = `-1`
	)

C++ Interface for variance.

Parameters

[in]	in	is the input array
[in]	isbiased	is boolean denoting Population variance (false) or Sample Variance (true)
[in]	dim	the dimension along which the variance is extracted

Returns: the variance of the input array along dimension dim

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

Deprecated:: Use af::var that takes af_var_bias instead

Functions

Detailed Description

Function Documentation

◆ af_var()

◆ af_var_all()

◆ af_var_all_v2()

◆ af_var_all_weighted()

◆ af_var_v2()

◆ af_var_weighted()

◆ var() [1/6]

◆ var() [2/6]

◆ var() [3/6]

◆ var() [4/6]

◆ var() [5/6]

◆ var() [6/6]