Fix 'ai.h2o:sparkling-water-package_2.11:2.4.13'/'h2o_pysparkling_2.4' conflict on Azure Databricks
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Explore whether this is possible in case the issue pops up again.
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Jakub Hava
August 13, 2019, 10:28 AM
The implemented fix ensures the code throws exception when the versions does not match and inform the users what they can do to resolve this.
Joseph Granados
August 9, 2019, 3:37 PM
Problem is versions don’t match exactly.
Generally, people should not do this^ If they need to attach both scala and java library, they should use explicit versioning to make sure both versions are the same.
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