ArrayFire: cov (original) (raw)
Find the covariance of values in the input. More...
| Functions | |
|---|---|
| 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 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... | |
Find the covariance of values in the input.
This function performs the operation across all dimensions of the input array.
◆ af_cov()
C Interface for covariance.
Parameters
| [out] | out | will the covariance of the input arrays |
|---|---|---|
| [in] | X | is the first input array |
| [in] | Y | is the second input array |
| [in] | isbiased | is boolean specifying if biased estimate should be taken (default: false) |
Returns
AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned.
Use af_cov_v2 instead
◆ af_cov_v2()
C Interface for covariance.
Parameters
| [out] | out | will the covariance of the input arrays |
|---|---|---|
| [in] | X | is the first input array |
| [in] | Y | is the second 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.
◆ cov() [1/2]
C++ Interface for covariance.
Parameters
| [in] | X | is the first input array |
|---|---|---|
| [in] | Y | is the second input array |
| [in] | bias | The type of bias used for variance calculation. Takes of value of type af_var_bias. |
Returns
the covariance of the input arrays
◆ cov() [2/2]
C++ Interface for covariance.
Parameters
| [in] | X | is the first input array |
|---|---|---|
| [in] | Y | is the second input array |
| [in] | isbiased | is boolean specifying if biased estimate should be taken (default: false) |
Returns
the covariance of the input arrays
Use af::cov(const array&, const array& const af_var_bias)