Maziyar Panahi

@tzhan0909 you are welcome. Spark NLP is 100% compatible to be 100% offline. I would say you can do something like this to find the compatible model(s) for your installed...

I have never used Spark NLP on Ray, not sure if Spark no Ray covers/supports 100% of all PySpark APIs. @C-K-Loan @josejuanmartinez Have you guys ever tried Spark NLP on...

Sorry I was about to update that issue but forgot. None of the Spark NLP annotators actually compatible with CV in Spark ML. The way they use thread/parallelism is just...

Thanks @JoaoBone for the feature request. Could you please leave a full code (pipeline) that is reproducible on our side so we can asses this feature request? (could a simple...

Thanks @JoaoBone - this is a great example to reproduce the issue. We'll work on this to see if it's possible to allow a custom annotator when LightPipeline is being...

 [Custom Annotator support for Lightpipelines](https://trello.com/c/5kKfwXkk/518-custom-annotator-support-for-lightpipelines)

@vankov could you please have a look at this?

THanks @drbonis I think sort by score and topN would be nice features

I think @albertoandreottiATgmail was training new models based on the new graph introduced in 2.7.2, but may have not been published yet.

Hi Since you are using Spark 3.2 you need to use sparknlp.start(spark32=True): https://github.com/JohnSnowLabs/spark-nlp#packages-cheatsheet