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ENH/Bug cov_params, generalize, avoid ValueError #1730

josef-pkt opened this issue Jun 3, 2014 · 1 comment


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commented Jun 3, 2014

insufficient refactoring when cov_params_default was added

        if cov_p is None and self.normalized_cov_params is None:
            raise ValueError('need covariance of parameters for computing '
                             '(unnormalized) covariances')

another improvement:
short-circuit if no arguments are given and we just want cov_params(). There is no need for checking all cases if all arguments are None.

I assume we don't have a subclass yet that does not define normalized_cov_params, so no error or failure so far.


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commented Jun 18, 2014

there is not really much to short_circuit, it just goes through a few if and ends up returning cov_p

PR in #1772

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