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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/4811#issuecomment-76489837
Made JIRA: [https://issues.apache.org/jira/browse/SPARK-6071]
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/4811#issuecomment-76487495
LGTM. I ran into a bug running the example, but it seems to be coming from
elsewhere. It happens when calling train---and not all the time, only
sometimes:
`
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Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/4811#discussion_r25544222
--- Diff: python/pyspark/mllib/util.py ---
@@ -168,6 +168,64 @@ def loadLabeledPoints(sc, path, minPartitions=None):
return callMLlibFunc("loadL
Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/4811#discussion_r25544216
--- Diff: docs/mllib-collaborative-filtering.md ---
@@ -220,6 +218,10 @@ predictions = model.predictAll(testdata).map(lambda r:
((r[0], r[1]), r[2]))
r
Github user SparkQA commented on the pull request:
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/4811#issuecomment-76471611
If we have couple days before RC2, this would be nice to have. We use the
same API as in Scala/Java and there is no real implementation in this PR.
Having save/load would
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/4811#issuecomment-76446225
I messed up not passing sc to save/load. Is this patch going into 1.3? If
not, then I'll submit a separate patch fixing the documentation (which will
conflict a littl
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Github user SparkQA commented on the pull request:
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GitHub user mengxr opened a pull request:
https://github.com/apache/spark/pull/4811
[SPARK-5991][MLLIB] support save/load in PySpark's ALS
A simple wrapper in Python to save/load `MatrixFactorizationModel` in
Python. @jkbradley
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