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https://issues.apache.org/jira/browse/MAHOUT-1518?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13977085#comment-13977085
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Dmitriy Lyubimov commented on MAHOUT-1518:
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data frames are different in that they can hold data types other than double as
element. as such, I imagine the intersection of their behavior with matrix is
going to be fairly limited (some ordinal slicing operators, perhaps), as well
as they would have different in-core and persistence backing.
For that reason, i would resist the urge to imply they have too much in common
with DRMs -- even by name.
> Preprocessing for collaborative filtering with the Scala DSL
> ------------------------------------------------------------
>
> Key: MAHOUT-1518
> URL: https://issues.apache.org/jira/browse/MAHOUT-1518
> Project: Mahout
> Issue Type: New Feature
> Components: Collaborative Filtering
> Reporter: Sebastian Schelter
> Assignee: Sebastian Schelter
> Fix For: 1.0
>
> Attachments: MAHOUT-1518.patch
>
>
> The aim here is to provide some easy-to-use machinery to enable the usage of
> the new Cooccurrence Analysis code from MAHOUT-1464 with datasets represented
> as follows in a CSV file with the schema _timestamp, userId, itemId, action_,
> e.g.
> {code}
> timestamp1, userIdString1, itemIdString1, “view"
> timestamp2, userIdString2, itemIdString1, “like"
> {code}
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