Dear all,
when fitting a logistic model in pyspark
(https://spark.apache.org/docs/2.2.0/ml-classification-regression.html#binomial-logistic-regression)
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 though.
Is that because the vcov cannot be inverted and thus no test statistics
can be computed? Or what might be the problem here?
Thanks,
Simon
- p-values logistic regression Simon Dirmeier
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