- cupy.cov(a, y=None, rowvar=True, bias=False, ddof=None)#
Returns the covariance matrix of an array.
This function currently does not support
a (cupy.ndarray) – Array to compute covariance matrix.
y (cupy.ndarray) – An additional set of variables and observations.
rowvar (bool) – If
True, then each row represents a variable, with observations in the columns. Otherwise, the relationship is transposed.
bias (bool) – If
False, normalization is by
(N - 1), where N is the number of observations given (unbiased estimate). If
True, then normalization is by
ddof (int) – If not
Nonethe default value implied by bias is overridden. Note that
ddof=1will return the unbiased estimate and
ddof=0will return the simple average.
The covariance matrix of the input array.
- Return type