[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2015-01-21 Thread Meethu Mathew (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14286942#comment-14286942
 ] 

Meethu Mathew commented on SPARK-5012:
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[~tgaloppo] Thank you..Will update this PR asap..

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>Assignee: Meethu Mathew
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2015-01-20 Thread Travis Galoppo (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14284704#comment-14284704
 ] 

Travis Galoppo commented on SPARK-5012:
---

[~MeethuMathew] SPARK-5019 has been completed.

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>Assignee: Meethu Mathew
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2015-01-15 Thread Meethu Mathew (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14279811#comment-14279811
 ] 

Meethu Mathew commented on SPARK-5012:
--

Once SPARK-5019 is resolved, we will make the changes accordingly.Thanks 
[~josephkb] [~tgaloppo] for the comments

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>Assignee: Meethu Mathew
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2015-01-15 Thread Joseph K. Bradley (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14279251#comment-14279251
 ] 

Joseph K. Bradley commented on SPARK-5012:
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[~MeethuMathew], [~tgaloppo] makes a good point.  It might actually be best to 
make a Python API for MultivariateGaussian first, and then to do this JIRA.  
(Since we don't want to require scipy currently, we can't use the existing 
scipy.stats.multivariate_normal class.)

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>Assignee: Meethu Mathew
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2015-01-15 Thread Travis Galoppo (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14278947#comment-14278947
 ] 

Travis Galoppo commented on SPARK-5012:
---

This will probably be affected by SPARK-5019


> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>Assignee: Meethu Mathew
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2015-01-15 Thread Apache Spark (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14278614#comment-14278614
 ] 

Apache Spark commented on SPARK-5012:
-

User 'FlytxtRnD' has created a pull request for this issue:
https://github.com/apache/spark/pull/4059

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>Assignee: Meethu Mathew
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2015-01-12 Thread Meethu Mathew (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14273561#comment-14273561
 ] 

Meethu Mathew commented on SPARK-5012:
--

I added a new class GaussianMixtureModel in clustering.py and the method
predict in it and trying to pass a List  of more than one dimension to the 
function
_py2java , but I am getting the exception 

'list' object has no attribute '_get_object_id'

and when I give a tuple input (Vectors.dense([0.8786,
-0.7855]),Vectors.dense([-0.1863, 0.7799])) exception is like

'numpy.ndarray' object has no attribute '_get_object_id'.   Can you help me to 
solve this?

My aim is to call the predictsoft() in GaussianMixtureModel.scala from 
clustering.py by passing the values of weight,mean and sigma 

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>Assignee: Meethu Mathew
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2014-12-31 Thread Xiangrui Meng (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14262381#comment-14262381
 ] 

Xiangrui Meng commented on SPARK-5012:
--

Done :)

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>Assignee: Meethu Mathew
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2014-12-30 Thread Travis Galoppo (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14261931#comment-14261931
 ] 

Travis Galoppo commented on SPARK-5012:
---

[~mengxr] Can this be reassigned to [~MeethuMathew] 

I will focus efforts on other improvements to the implementation.

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>Assignee: Travis Galoppo
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2014-12-30 Thread Meethu Mathew (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14261923#comment-14261923
 ] 

Meethu Mathew commented on SPARK-5012:
--

The python implementation of the algorithm has already been added to 
spark-packages http://spark-packages.org/package/11  and it would be great if 
we are given a chance to write the Python wrappers for the algorithm.

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>Assignee: Travis Galoppo
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2014-12-30 Thread Xiangrui Meng (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14261754#comment-14261754
 ] 

Xiangrui Meng commented on SPARK-5012:
--

Great! Thanks for continuing the work on GMM!

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>Assignee: Travis Galoppo
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2014-12-30 Thread Travis Galoppo (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14261413#comment-14261413
 ] 

Travis Galoppo commented on SPARK-5012:
---

[~mengxr] I'd be happy to.

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>
> Add Python API for the Scala implementation of GMM.



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[jira] [Commented] (SPARK-5012) Python API for Gaussian Mixture Model

2014-12-30 Thread Xiangrui Meng (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14261363#comment-14261363
 ] 

Xiangrui Meng commented on SPARK-5012:
--

[~tgaloppo] Would you be interested in working on the Python API of GMM? It 
should be quite similar to other Python wrappers in MLlib.

> Python API for Gaussian Mixture Model
> -
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
>  Issue Type: New Feature
>  Components: MLlib, PySpark
>Reporter: Xiangrui Meng
>
> Add Python API for the Scala implementation of GMM.



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