Comments (4)
Hi @NoahMarconi ,
thanks for bug report. Spark slightly change CLI and for some reason --version
expects an additional parameter. It is fix on linux, but we leaked the problem into Windows distrib.
We will fix it in the following SW release.
Thank you!
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Sounds good, I'm just kicking the tires at the moment so I can run in a linux vm in the meantime.
from sparkling-water.
Starting to work on the issue. It's actually related to all spark versions, since there is a bug in windows script. Hopefully will provide fix soon
from sparkling-water.
problem solved, please this this PR #100. Once the review is done the change will be merged into master
from sparkling-water.
Related Issues (20)
- Fix pipeline tests HOT 3
- Deprecate H2OMOJOModel, H2OMOJOPipelineModel and H2OMOJOSettings in the org.apache.spark package HOT 2
- Cleanup of PySparkling package -> moving to new package ai.h2o HOT 3
- Fix download links for latest stable HOT 2
- Don't need to start H2O to initialize algo on PySparkling side HOT 2
- Fix bug with setting init on KMeans HOT 2
- Avoid duplication between mojo params and algo params HOT 2
- Expose predict_contributions for H2OMOJOModel HOT 6
- Upgrade Docker version in CI HOT 2
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- Explore slow-down for fat-dataset with many categorical columns HOT 2
- Don't use strings to define algo name HOT 2
- Support for Spark 3.4 HOT 1
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- Change license: Apache 2.0 -> AGPL HOT 1
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