Showing content from https://arrayfire.org/docs/group__stat__func__var.htm below:
ArrayFire: var
Find the variance of values in the input. 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...
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...
Find the variance of values in the input.
This function performs the operation across all dimensions of the input array.
◆ af_var()
C Interface for variance.
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Parameters
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[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
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Returns
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AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned.
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Deprecated:
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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.
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Parameters
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[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)
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Returns
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AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned.
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Deprecated:
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Use af_var_all_v2 instead
◆ af_var_all_v2()
C Interface for variance of all elements.
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Parameters
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[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
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Returns
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AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned.
◆ af_var_all_weighted()
C Interface for variance of all elements in weighted input.
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Parameters
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[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
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Returns
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AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned.
◆ af_var_v2()
C Interface for variance.
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Parameters
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[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
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Returns
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AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned.
◆ af_var_weighted()
C Interface for variance of weighted input array.
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Parameters
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[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]
C++ Interface for variance of all elements.
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Parameters
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[in] in is the input array [in] bias The type of bias used for variance calculation. Takes of value of type af_var_bias.
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Returns
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variance of the
in array
◆ var() [2/6]
C++ Interface for variance.
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Parameters
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[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
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Returns
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the variance of the input array along dimension
dim
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Note
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dim is -1 by default. -1 denotes the first non-singleton dimension.
◆ var() [3/6]
C++ Interface for variance of all elements in weighted input.
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Parameters
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[in] in is the input array [in] weights is used to scale input
in before getting variance
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Returns
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variance of the entire input array
◆ var() [4/6]
C++ Interface for variance of weighted inputs.
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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
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Returns
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the variance of the weighted input array along dimension
dim
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Note
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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.
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Parameters
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[in] in is the input array [in] isbiased is boolean denoting Population variance (false) or Sample Variance (true)
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Returns
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variance of the entire input array
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Deprecated:
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Use af::var that takes af_var_bias instead
◆ var() [6/6]
C++ Interface for variance.
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Parameters
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[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
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Note
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dim is -1 by default. -1 denotes the first non-singleton dimension.
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Deprecated:
-
Use af::var that takes af_var_bias instead
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