ArrayFire: cov
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.
- Deprecated:
- 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
- Deprecated:
- Use af::cov(const array&, const array& const af_var_bias)