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| author | Joseph K. Bradley <joseph@databricks.com> | 2016-07-05 17:00:24 -0700 |
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| committer | Joseph K. Bradley <joseph@databricks.com> | 2016-07-05 17:00:24 -0700 |
| commit | fdde7d0aa0ef69d0e9a88cf712601bba1d5b0706 (patch) | |
| tree | 8f1c6be72c453dbd33d864c6ca54e2b2d28a480c /sql | |
| parent | 59f9c1bd1adfea7069e769fb68351c228c37c8fc (diff) | |
| download | spark-fdde7d0aa0ef69d0e9a88cf712601bba1d5b0706.tar.gz spark-fdde7d0aa0ef69d0e9a88cf712601bba1d5b0706.tar.bz2 spark-fdde7d0aa0ef69d0e9a88cf712601bba1d5b0706.zip | |
[SPARK-16348][ML][MLLIB][PYTHON] Use full classpaths for pyspark ML JVM calls
## What changes were proposed in this pull request?
Issue: Omitting the full classpath can cause problems when calling JVM methods or classes from pyspark.
This PR: Changed all uses of jvm.X in pyspark.ml and pyspark.mllib to use full classpath for X
## How was this patch tested?
Existing unit tests. Manual testing in an environment where this was an issue.
Author: Joseph K. Bradley <joseph@databricks.com>
Closes #14023 from jkbradley/SPARK-16348.
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