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[SPARK-2358][MLLIB] Add an option to include native BLAS/LAPACK loader in the build #1295
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Updated PR to use profile only. User needs to enable |
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Refer to this link for build results: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/16515/ |
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Jenkins, retest this please. |
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QA tests have started for PR 1295. This patch merges cleanly. |
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QA results for PR 1295: |
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All automated tests passed. |
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QA tests have started for PR 1295. This patch merges cleanly. |
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QA results for PR 1295: |
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Merging in master. Thanks! |
…r in the build It would be easy for users to include the netlib-java jniloader in the spark jar, which is LGPL-licensed. We can follow the same approach as ganglia support in Spark, which could be enabled by turning on "-Pganglia-lgpl" at build time. We can use "-Pnetlib-lgpl" flag for this. Author: Xiangrui Meng <[email protected]> Closes apache#1295 from mengxr/netlib-lgpl and squashes the following commits: aebf001 [Xiangrui Meng] add a profile to optionally include native BLAS/LAPACK loader in mllib
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It would be great to mention this option in the MLlib documentation. |
…r in the build It would be easy for users to include the netlib-java jniloader in the spark jar, which is LGPL-licensed. We can follow the same approach as ganglia support in Spark, which could be enabled by turning on "-Pganglia-lgpl" at build time. We can use "-Pnetlib-lgpl" flag for this. Author: Xiangrui Meng <[email protected]> Closes apache#1295 from mengxr/netlib-lgpl and squashes the following commits: aebf001 [Xiangrui Meng] add a profile to optionally include native BLAS/LAPACK loader in mllib
It would be easy for users to include the netlib-java jniloader in the spark jar, which is LGPL-licensed. We can follow the same approach as ganglia support in Spark, which could be enabled by turning on "-Pganglia-lgpl" at build time. We can use "-Pnetlib-lgpl" flag for this.