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


Reply via email to