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[SPARK-5537] Add user guide for multinomial logistic regression #4861

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[SPARK-5537] Add user guide for multinomial logistic regression #4861

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mengxr
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@mengxr mengxr commented Mar 3, 2015

This is based on #4801 from @dbtsai. The linear method guide is re-organized a little bit for this change.

Closes #4801

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SparkQA commented Mar 3, 2015

Test build #28206 has started for PR 4861 at commit 47af0ac.

  • This patch merges cleanly.

dbtsai
dbtsai reviewed Mar 3, 2015
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docs/mllib-linear-methods.md
AUC is commonly used to compare the performance of various models while
precision/recall/F-measure can help determine the appropriate threshold to use
for prediction purposes.

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Are you going to move those Evaluation metrics thing into different place? Other than that, LGTM. Gonna add more description into developer session in another PR.

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I created a JIRA for evaluation metrics: https://issues.apache.org/jira/browse/SPARK-6129. It is hard to find a position for evaluation metrics in this guide.

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mengxr commented Mar 3, 2015

I've merged this PR into master and branch-1.3. @dbtsai Please send new patches based on the current master.

@asfgit asfgit closed this in 9d6c5ae Mar 3, 2015
asfgit pushed a commit that referenced this pull request Mar 3, 2015
@mengxr
[SPARK-5537] Add user guide for multinomial logistic regression
11389f0 
This is based on #4801 from dbtsai. The linear method guide is re-organized a little bit for this change.

Closes #4801

Author: Xiangrui Meng <meng@databricks.com>
Author: DB Tsai <dbtsai@alpinenow.com>

Closes #4861 from mengxr/SPARK-5537 and squashes the following commits:

47af0ac [Xiangrui Meng] update user guide for multinomial logistic regression
cdc2e15 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into AlpineNow-mlor-doc
096d0ca [DB Tsai] first commit

(cherry picked from commit 9d6c5ae)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
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SparkQA commented Mar 3, 2015

Test build #28206 has finished for PR 4861 at commit 47af0ac.

  • This patch fails Spark unit tests.
  • This patch merges cleanly.
  • This patch adds the following public classes (experimental):
    • [multiclass classification](http://en.wikipedia.org/wiki/Multiclass_classification).
    • public class MultinomialLogisticRegressionExample

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Test FAILed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/28206/
Test FAILed.

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mengxr commented Mar 3, 2015

This PR contains only doc changes. The failed test is a known flakey test.

@dbtsai dbtsai mentioned this pull request Mar 3, 2015
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asfgit pushed a commit that referenced this pull request Mar 3, 2015
@mengxr
[SPARK-5537][MLlib][Docs] Add user guide for multinomial logistic reg…
b196056 
…ression

Adding more description on top of #4861.

Author: DB Tsai <dbtsai@alpinenow.com>

Closes #4866 from dbtsai/doc and squashes the following commits:

37e9d07 [DB Tsai] doc
asfgit pushed a commit that referenced this pull request Mar 3, 2015
@mengxr
[SPARK-5537][MLlib][Docs] Add user guide for multinomial logistic reg…
841d2a2 
…ression

Adding more description on top of #4861.

Author: DB Tsai <dbtsai@alpinenow.com>

Closes #4866 from dbtsai/doc and squashes the following commits:

37e9d07 [DB Tsai] doc

(cherry picked from commit b196056)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
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@mengxr @SparkQA @AmplabJenkins @dbtsai