when fitting a logistic model in pyspark
in many cases, the summary does not contain p-values, or rather
calling the summary throws an exception (even though in these
cases model.hasSummary is true). In some cases it works
Is that because the vcov cannot be inverted and thus no test
statistics can be computed? Or what might be the problem here?