Thank you. Took a look into it.
I am trying to run this guide:
https://www.databricks.com/solutions/accelerators/customer-entity-resolution
Here you pass a config into a Spark Job:
["--class","zingg.client.Client","dbfs:/FileStore/solacc/customer_er/jar/zingg-0.4.0/zingg-0.4.0.jar","--phase=findTrainingData","--conf=/dbfs/FileStore/ncvoters/config/initial.json","--license=abc"]
But running it returns me:
24/12/04 13:37:14 ERROR SparkSubmit: Failed to load class zingg.client.Client.
Same goes with zingg.client.ZinggWithSpark or zingg.client.Zingg
Any adivce perhaps?
Project is our internal development in order to develop an accelerator with which we will be able to approach clients. Industries are Finance, Retail and yet there are no data volumes as per se
Hi, I am going through guide on Customer Entity Resolution and there is a ling of code that says: zingg.client.Client.
As far as I understand it is depreciated in zingg 4.0, with what shoud I substitute it?
