Comments (2)
@DarkBlaez how are you starting spark shell? Do you set MASTER
env variable?
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Closing since we haven't heard from @DarkBlaez for a while. Feel free to open new issue when you hit a new problem
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Related Issues (20)
- Benchmarks: Use persist(StorageLevel.DISK_ONLY) for Materialization of Parsed DataFrames HOT 2
- Update examples/README file HOT 4
- Remove extra argument on H2OAUtoML pyspark wrapper HOT 2
- Handle sortMetric param in H2OAutoML the same way as other enums HOT 2
- Benchmarks: Clean DKV After a Test is Finished HOT 2
- Deprecate algos and features in org.apache.spark package HOT 2
- 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
- Upgrade MojoPipeline to 0.10.0 HOT 2
- 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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