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I have heard requests for the docs to include advice about choosing an optimization method. The programming guide could include a brief statement about this (so the user does not have to read the whole optimization section).

CC: @mengxr

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SparkQA commented Dec 3, 2014

Test build #24073 has started for PR 3569 at commit 94f6dec.

  • This patch merges cleanly.

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SparkQA commented Dec 3, 2014

Test build #24073 has finished for PR 3569 at commit 94f6dec.

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

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Test PASSed.
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This part might not be true because we implemented mini-batch SGD but obtaining a mini-batch from an RDD is expensive, which requires one pass, while computing the gradient is not super expensive. Maybe we can also mention this trade-off.

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@mengxr Thanks for taking a look! Updated based on your comment.

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I think this caused a .md generation problem in the old docs.

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SparkQA commented Dec 3, 2014

Test build #24108 has started for PR 3569 at commit 5035ad0.

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SparkQA commented Dec 3, 2014

Test build #24109 has started for PR 3569 at commit 654aeb5.

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SparkQA commented Dec 3, 2014

Test build #24108 has finished for PR 3569 at commit 5035ad0.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds the following public classes (experimental):
    • trait ConnectionFactory extends Serializable
    • class MatrixFactorizationModel(

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SparkQA commented Dec 3, 2014

Test build #24109 has finished for PR 3569 at commit 654aeb5.

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  • This patch merges cleanly.
  • This patch adds no public classes.

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Test PASSed.
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@jkbradley jkbradley changed the title [SPARK-4711] [mllib] Programming guide advice on choosing optimizer [SPARK-4711] [mllib] [docs] Programming guide advice on choosing optimizer Dec 4, 2014
asfgit pushed a commit that referenced this pull request Dec 4, 2014
…mizer

I have heard requests for the docs to include advice about choosing an optimization method. The programming guide could include a brief statement about this (so the user does not have to read the whole optimization section).

CC: mengxr

Author: Joseph K. Bradley <joseph@databricks.com>

Closes #3569 from jkbradley/lr-doc and squashes the following commits:

654aeb5 [Joseph K. Bradley] updated section header for mllib-optimization
5035ad0 [Joseph K. Bradley] updated based on review
94f6dec [Joseph K. Bradley] Updated linear methods and optimization docs with quick advice on choosing an optimization method

(cherry picked from commit 27ab0b8)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
@asfgit asfgit closed this in 27ab0b8 Dec 4, 2014
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mengxr commented Dec 4, 2014

LGTM. Merged into master and branch-1.2. Thanks!

@jkbradley jkbradley deleted the lr-doc branch December 4, 2014 20:27
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4 participants