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@mengxr mengxr commented Aug 25, 2015

Same as #8421 but for mllib.recommendation.

cc @srowen @coderxiang

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SparkQA commented Aug 25, 2015

Test build #41555 has finished for PR 8432 at commit 0e7087c.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds the following public classes (experimental):
    • case class Rating @Since("0.8.0") (
    • class MatrixFactorizationModel @Since("0.8.0") (

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@mengxr The PR looks good to me but I'm curious is there any easy way (like a script) to get the introduction time of each API systematically instead of doing manual check?

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mengxr commented Aug 26, 2015

There are scripts on the JIRA page, but some of them are tricky. For example, some constructors are public in 0.8, and we mark them package private in 1.0, then public again in 1.1. If we look at the jar, it is hard to tell package private classes/methods.

asfgit pushed a commit that referenced this pull request Aug 26, 2015
Same as #8421 but for `mllib.recommendation`.

cc srowen coderxiang

Author: Xiangrui Meng <meng@databricks.com>

Closes #8432 from mengxr/SPARK-10241.

(cherry picked from commit 086d468)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
@asfgit asfgit closed this in 086d468 Aug 26, 2015
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3 participants