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# scipy.maxentropy.conditionalmodel.logpmf

`conditionalmodel.``logpmf`()

  Returns a (sparse) row vector of logarithms of the conditional probability mass function (pmf) values p(x | c) for all pairs (c, x), where c are contexts and x are points in the sample space. The order of these is log p(x | c) = logpmf()[c * numsamplepoints + x].

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