cupy.cov(a, y=None, rowvar=True, bias=False, ddof=None)[source]

Returns the covariance matrix of an array.

This function currently does not support fweights and aweights options.

  • 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 N.
  • ddof (int) – If not None the default value implied by bias is overridden. Note that ddof=1 will return the unbiased estimate and ddof=0 will return the simple average.

The covariance matrix of the input array.

Return type:


See also