[jira] [Commented] (MAHOUT-1940) Implementing similarity analysis using co-occurence matrix in java

["Pat Ferrel (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-1940?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15862862#comment-15862862 ] 

Pat Ferrel commented on MAHOUT-1940:
------------------------------------

This would be Awesome! Let me know if you need help. There are some things that are no longer required. I just duplicated some methods to maintain backward compatibility, while adding new features.

I also implemented some new helper object `apply` functions, which are alternative constructors, outside of Mahout in the PredictionIO Universal Recommender Template. When 0.5.1 of the Template is released concurrent with PIO 0.11.0 and Mahout 0.13.0. The ones in the Template code are all you will need for porting the Template to Java.

To make SimilarityAnalysis complete and accepted into Mahout you'd probably need to port all of the SimilarityAnalysis class and IndexedDatasetSpark.

> Implementing similarity analysis using co-occurence matrix in java
> ------------------------------------------------------------------
>
>                 Key: MAHOUT-1940
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1940
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Algorithms, cooccurrence
>            Reporter: James Mackey
>
> We want to port the functionality from org.apache.mahout.math.cf.SimilarityAnalysis.scala to java for easy integration with a java project we will be creating that derives a similarity measure from the co-occurence matrix. 



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