Hi all.

I want to insert my dataframe into InterSystems IRIS. So, I tried to do this:

df = spark.read.load("/home/imported-openssh-key/zeppelin-0.8.0-bin-all/bin/resultData3/DF.json", format="json")
option("url", "IRIS://localhost:51773/DEDUPL").\
option("user", "********").option("password", "********").\
option("dbtable", "try.test1").save()

And got this error:

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· Apr 14
Error with AutoML

Does anyone have any idea why there is such an error during model training? How can I change providers if my application does not have a management portal?

[S1000][400] [SQLCODE: <-400>:<Fatal error occurred>] [Location: <ServerLoop>] [%msg: <ERROR #8104: Gateway Exception: <GATEWAY> java.lang.RuntimeException ai.h2o.automl.AutoML.inferDistribution(AutoML.java:572) Number of domains is equal to 1.>]

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Hi community members!

I'm trying to deploy a container based on IRIS Community for Health ML image available from this url but when I start the container the memory consumption skyrockets to 99% making impossible to work with the instance (it never goes below the 95% of the memory). When I do the same with the IRIS Community for Health image it never goes over 80% of memory.

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