[jira] [Commented] (SPARK-17471) Add compressed method for Matrix class
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https://issues.apache.org/jira/browse/SPARK-17471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15606347#comment-15606347
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Apache Spark commented on SPARK-17471:
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User 'sethah' has created a pull request for this issue:
https://github.com/apache/spark/pull/15628
> Add compressed method for Matrix class
> --
>
> Key: SPARK-17471
> URL: https://issues.apache.org/jira/browse/SPARK-17471
> Project: Spark
> Issue Type: New Feature
> Components: ML
>Reporter: Seth Hendrickson
>
> Vectors in Spark have a {{compressed}} method which selects either sparse or
> dense representation by minimizing storage requirements. Matrices should also
> have this method, which is now explicitly needed in {{LogisticRegression}}
> since we have implemented multiclass regression.
> The compressed method should also give the option to store row major or
> column major, and if nothing is specified should select the lower storage
> representation (for sparse).
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[jira] [Commented] (SPARK-17471) Add compressed method for Matrix class
[
https://issues.apache.org/jira/browse/SPARK-17471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15487035#comment-15487035
]
Yanbo Liang commented on SPARK-17471:
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[~sethah] I'm sorry that I have some emergent affairs to deal with in these
days, so please feel free to take over this task. Thanks!
> Add compressed method for Matrix class
> --
>
> Key: SPARK-17471
> URL: https://issues.apache.org/jira/browse/SPARK-17471
> Project: Spark
> Issue Type: New Feature
> Components: ML
>Reporter: Seth Hendrickson
>
> Vectors in Spark have a {{compressed}} method which selects either sparse or
> dense representation by minimizing storage requirements. Matrices should also
> have this method, which is now explicitly needed in {{LogisticRegression}}
> since we have implemented multiclass regression.
> The compressed method should also give the option to store row major or
> column major, and if nothing is specified should select the lower storage
> representation (for sparse).
--
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[jira] [Commented] (SPARK-17471) Add compressed method for Matrix class
[
https://issues.apache.org/jira/browse/SPARK-17471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15484775#comment-15484775
]
Seth Hendrickson commented on SPARK-17471:
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[~yanboliang] Do you have any updates on this? We need to make implementation
of the {{compressed}} method for matrices high priority. I can look into
implementing it, but I don't want to overlap work. Thanks!
> Add compressed method for Matrix class
> --
>
> Key: SPARK-17471
> URL: https://issues.apache.org/jira/browse/SPARK-17471
> Project: Spark
> Issue Type: New Feature
> Components: ML
>Reporter: Seth Hendrickson
>
> Vectors in Spark have a {{compressed}} method which selects either sparse or
> dense representation by minimizing storage requirements. Matrices should also
> have this method, which is now explicitly needed in {{LogisticRegression}}
> since we have implemented multiclass regression.
> The compressed method should also give the option to store row major or
> column major, and if nothing is specified should select the lower storage
> representation (for sparse).
--
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[jira] [Commented] (SPARK-17471) Add compressed method for Matrix class
[
https://issues.apache.org/jira/browse/SPARK-17471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15477848#comment-15477848
]
DB Tsai commented on SPARK-17471:
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BTW, we need to determine which sparse matrix format will be used for maximal
compression, CSC or CSR.
> Add compressed method for Matrix class
> --
>
> Key: SPARK-17471
> URL: https://issues.apache.org/jira/browse/SPARK-17471
> Project: Spark
> Issue Type: New Feature
> Components: ML
>Reporter: Seth Hendrickson
>
> Vectors in Spark have a {{compressed}} method which selects either sparse or
> dense representation by minimizing storage requirements. Matrices should also
> have this method, which is now explicitly needed in {{LogisticRegression}}
> since we have implemented multiclass regression.
> The compressed method should also give the option to store row major or
> column major, and if nothing is specified should select the lower storage
> representation (for sparse).
--
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[jira] [Commented] (SPARK-17471) Add compressed method for Matrix class
[
https://issues.apache.org/jira/browse/SPARK-17471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15477841#comment-15477841
]
Seth Hendrickson commented on SPARK-17471:
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[~yanboliang] I guess it can be seen as a duplicate, but really there are two
separate tasks. 1.) Add a `compressed` method to the matrix library in spark,
which is non-trivial. 2.) Adding a mechanism inside of MLOR to use the
compressed method, and how to deal with flattening the sparse matrix into a
sparse vector when binomial family is used.
We can keep the JIRAs separate, or do them both together. I see them as
separate tasks.
> Add compressed method for Matrix class
> --
>
> Key: SPARK-17471
> URL: https://issues.apache.org/jira/browse/SPARK-17471
> Project: Spark
> Issue Type: New Feature
> Components: ML
>Reporter: Seth Hendrickson
>
> Vectors in Spark have a {{compressed}} method which selects either sparse or
> dense representation by minimizing storage requirements. Matrices should also
> have this method, which is now explicitly needed in {{LogisticRegression}}
> since we have implemented multiclass regression.
> The compressed method should also give the option to store row major or
> column major, and if nothing is specified should select the lower storage
> representation (for sparse).
--
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[jira] [Commented] (SPARK-17471) Add compressed method for Matrix class
[
https://issues.apache.org/jira/browse/SPARK-17471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15477376#comment-15477376
]
Yanbo Liang commented on SPARK-17471:
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[~sethah] I think this task is duplicated with SPARK-17137 which will add
compressed support for multinomial logistic regression coefficients. I'm
working on that one and have some {{Matrix}} compression performance test
result. I will post them here for discussion as soon as possible. Thanks!
> Add compressed method for Matrix class
> --
>
> Key: SPARK-17471
> URL: https://issues.apache.org/jira/browse/SPARK-17471
> Project: Spark
> Issue Type: New Feature
> Components: ML
>Reporter: Seth Hendrickson
>
> Vectors in Spark have a {{compressed}} method which selects either sparse or
> dense representation by minimizing storage requirements. Matrices should also
> have this method, which is now explicitly needed in {{LogisticRegression}}
> since we have implemented multiclass regression.
> The compressed method should also give the option to store row major or
> column major, and if nothing is specified should select the lower storage
> representation (for sparse).
--
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