At the moment, the covariance function from the array api extra does not allow the use of any parameters, such as bias/ddof/fweights/aweights/rowvar.
These numpy and torch parameters make a difference for many applications with covariance. I was wondering if it would be okay to expose and normalize the parameters. It is a really simple PR, a few lines.
At the moment, the covariance function from the array api extra does not allow the use of any parameters, such as bias/ddof/fweights/aweights/rowvar.
These numpy and torch parameters make a difference for many applications with covariance. I was wondering if it would be okay to expose and normalize the parameters. It is a really simple PR, a few lines.