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Posted to reviews@spark.apache.org by rezazadeh <gi...@git.apache.org> on 2014/08/21 02:03:42 UTC

[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

GitHub user rezazadeh opened a pull request:

    https://github.com/apache/spark/pull/2070

    [MLlib][SPARK-2997] Update SVD documentation to reflect roughly square

    Update the documentation to reflect the fact we can handle roughly square matrices.

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/rezazadeh/spark svddocs

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/2070.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #2070
    
----
commit 1eeab8b41c27dfeac02e7222ecdb994b41ce1fdd
Author: Reza Zadeh <ri...@gmail.com>
Date:   2014-08-21T00:01:18Z

    Update SVD documentation to reflect roughly square

----


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/2070#issuecomment-52865008
  
      [QA tests have started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/19023/consoleFull) for   PR 2070 at commit [`6429c59`](https://github.com/apache/spark/commit/6429c59d9852988b47c9f307fda8d1d331cf1487).
     * This patch merges cleanly.


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:

    https://github.com/apache/spark/pull/2070


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by mengxr <gi...@git.apache.org>.
Github user mengxr commented on a diff in the pull request:

    https://github.com/apache/spark/pull/2070#discussion_r16523887
  
    --- Diff: docs/mllib-dimensionality-reduction.md ---
    @@ -119,14 +137,13 @@ statistical method to find a rotation such that the first coordinate has the lar
     possible, and each succeeding coordinate in turn has the largest variance possible. The columns of
     the rotation matrix are called principal components. PCA is used widely in dimensionality reduction.
     
    -MLlib supports PCA for tall-and-skinny matrices stored in row-oriented format.
    +MLlib supports PCA for matrices stored in row-oriented format.
    --- End diff --
    
    I think we still need tall-and-skinny matrices for PCA.


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/2070#issuecomment-52869880
  
      [QA tests have finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/19024/consoleFull) for   PR 2070 at commit [`7ffa2aa`](https://github.com/apache/spark/commit/7ffa2aa75ed2a26bbd0058902e37c78908ce8b67).
     * This patch **passes** unit tests.
     * This patch merges cleanly.
     * This patch adds no public classes.


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/2070#issuecomment-53139390
  
      [QA tests have started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/19090/consoleFull) for   PR 2070 at commit [`826b8fe`](https://github.com/apache/spark/commit/826b8feace742c9aa78fd1087bc28ae741cbd028).
     * This patch merges cleanly.


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by atalwalkar <gi...@git.apache.org>.
Github user atalwalkar commented on a diff in the pull request:

    https://github.com/apache/spark/pull/2070#discussion_r16514855
  
    --- Diff: docs/mllib-dimensionality-reduction.md ---
    @@ -11,7 +11,7 @@ displayTitle: <a href="mllib-guide.html">MLlib</a> - Dimensionality Reduction
     of reducing the number of variables under consideration.
     It can be used to extract latent features from raw and noisy features
     or compress data while maintaining the structure.
    -MLlib provides support for dimensionality reduction on tall-and-skinny matrices.
    +MLlib provides support for dimensionality reduction on the RowMatrix class.
    --- End diff --
    
    can you add a link to the scaladoc or the documentation for RowMatrix?


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/2070#issuecomment-52868544
  
      [QA tests have finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/19023/consoleFull) for   PR 2070 at commit [`6429c59`](https://github.com/apache/spark/commit/6429c59d9852988b47c9f307fda8d1d331cf1487).
     * This patch **passes** unit tests.
     * This patch merges cleanly.
     * This patch adds no public classes.


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/2070#issuecomment-53023585
  
      [QA tests have finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/19070/consoleFull) for   PR 2070 at commit [`3f34fc6`](https://github.com/apache/spark/commit/3f34fc6c653221cfd76dcc43427503c36659f742).
     * This patch **passes** unit tests.
     * This patch merges cleanly.
     * This patch adds no public classes.


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by mengxr <gi...@git.apache.org>.
Github user mengxr commented on the pull request:

    https://github.com/apache/spark/pull/2070#issuecomment-53217715
  
    I've merged this into master and branch-1.1. Thanks!!


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/2070#issuecomment-53140495
  
      [QA tests have finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/19090/consoleFull) for   PR 2070 at commit [`826b8fe`](https://github.com/apache/spark/commit/826b8feace742c9aa78fd1087bc28ae741cbd028).
     * This patch **passes** unit tests.
     * This patch merges cleanly.
     * This patch adds no public classes.


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/2070#issuecomment-52866801
  
      [QA tests have started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/19024/consoleFull) for   PR 2070 at commit [`7ffa2aa`](https://github.com/apache/spark/commit/7ffa2aa75ed2a26bbd0058902e37c78908ce8b67).
     * This patch merges cleanly.


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by atalwalkar <gi...@git.apache.org>.
Github user atalwalkar commented on the pull request:

    https://github.com/apache/spark/pull/2070#issuecomment-53130497
  
    Aside from the one issue of $U$ being the left singular vectors, this looks good to me.


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by atalwalkar <gi...@git.apache.org>.
Github user atalwalkar commented on a diff in the pull request:

    https://github.com/apache/spark/pull/2070#discussion_r16514920
  
    --- Diff: docs/mllib-dimensionality-reduction.md ---
    @@ -11,7 +11,7 @@ displayTitle: <a href="mllib-guide.html">MLlib</a> - Dimensionality Reduction
     of reducing the number of variables under consideration.
     It can be used to extract latent features from raw and noisy features
     or compress data while maintaining the structure.
    -MLlib provides support for dimensionality reduction on tall-and-skinny matrices.
    +MLlib provides support for dimensionality reduction on the RowMatrix class.
    --- End diff --
    
    Could you give some high-level guidance on the scalability of our approaches / what sorts of matrices and values of k on which its appropriate to run MLlib's SVD?


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[GitHub] spark pull request: [MLlib][SPARK-2997] Update SVD documentation t...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/2070#issuecomment-53020845
  
      [QA tests have started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/19070/consoleFull) for   PR 2070 at commit [`3f34fc6`](https://github.com/apache/spark/commit/3f34fc6c653221cfd76dcc43427503c36659f742).
     * This patch merges cleanly.


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