There is a discussion on Github on this topic and the recommendation is
to upgrade from 1.x to 2.15.0, due to the vulnerability of 1.x:
https://github.com/apache/logging-log4j2/pull/608
This discussion is also referenced by the German Federal Office for
Information Security: https://www.bsi.bu
Hi Amin,
This might be only marginally relevant to your question, but in my
project I also noticed the following: The trained and exported Spark
models (i.e. pipelines saved to binary files) are also not compatible
between versions, at least between major versions. I noticed this when
trying
Hi Gourav,
Mostly correct. The output of SparNLP here is a trained
pipeline/model/transformer. I am feeding this trained pipeline to the
MulticlassClassificationEvaluator for evaluation and this
MulticlassClassificationEvaluator only accepts floats or doubles are the
labels (instead of NER la
