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[SPARK-6571][MLLIB] use wrapper in MatrixFactorizationModel.load #5243

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[SPARK-6571][MLLIB] use wrapper in MatrixFactorizationModel.load #5243

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mengxr
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@mengxr mengxr commented Mar 28, 2015

This fixes predictAll after load. @jkbradley

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SparkQA commented Mar 28, 2015

Test build #29350 has started for PR 5243 at commit 82dcaa7.

  • This patch merges cleanly.

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SparkQA commented Mar 28, 2015

Test build #29350 has finished for PR 5243 at commit 82dcaa7.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

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Test PASSed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/29350/
Test PASSed.

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LGTM! I'll merge it into branch-1.3 and master

@asfgit asfgit closed this in f75f633 Mar 28, 2015
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Oops, I guess this requires a little conflict resolution for branch-1.3. Should that be a separate backport PR?

asfgit pushed a commit that referenced this pull request Mar 30, 2015
@mengxr
[SPARK-6571][MLLIB] use wrapper in MatrixFactorizationModel.load
93a7166 
This fixes `predictAll` after load. jkbradley

Author: Xiangrui Meng <meng@databricks.com>

Closes #5243 from mengxr/SPARK-6571 and squashes the following commits:

82dcaa7 [Xiangrui Meng] use wrapper in MatrixFactorizationModel.load

(cherry picked from commit f75f633)
Signed-off-by: Xiangrui Meng <meng@databricks.com>

Conflicts:
	mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala
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mengxr commented Mar 30, 2015

I've merged this PR into branch-1.3.

@mengxr mengxr mentioned this pull request Mar 31, 2015
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@mengxr @SparkQA @AmplabJenkins @jkbradley