Christian Kasim Loan

Results 33 comments of Christian Kasim Loan

Latest Johnsnowlabs depends on pyspark==3.4 for pip install, but other versions of pyspark work fine. We could install with --no-dependencies, but then we need to install other dependencies manually

@franz101 the method `setIncludeAllConfidenceScores` is not available on every annotator, in particular, the `XYZ-For-Token-Classification` based annotators do not support this feature yet. Any NerDL, MedicalNerDL, FinanceNerDL, LegalNerDL architecture based models...

Hi @gjdls01 can you provide some more information on what code you where running? This means something went wrong when loading am odel

@josejuanmartinez the pop up /browser login only works when running on your own machine. It's essen Server-based approaches are currently not supported unless, with google Colab beeing the exception. But...

Thank you @josejuanmartinez can you share some information on the Docker Image that was used? Especially the base would be interesting. I am taking a look and trying to reproduce...

Thanks for the report, there was a bug with handling some paths like the one in your docker image. It's fixed with `pip install johnsnowlabs==4.2.3rc1` Also see updated Dockerfile for...

@josejuanmartinez thanks for the report and glad to hear it works. This error message pop-ups randomly when starting up a spark session and on some systems. But it's not a...

@uzairahmadxy can you share the full error trace from the notebook and also check your jupyter shell for any errors and share those?

Thank you for sharing @uzairahmadxy Looks like something is not correctly setup with your hadoop utils. Make sure to precisely follow every step listed here https://nlp.johnsnowlabs.com/docs/en/install#windows-support This should fix all...

Nice that's one less error! @uzairahmadxy can you test running this open source notebook and see if it works or not ? https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Public/1.SparkNLP_Basics.ipynb You can skip the cells with pip...