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https://issues.apache.org/jira/browse/MAHOUT-1853?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15431095#comment-15431095
]
ASF GitHub Bot commented on MAHOUT-1853:
----------------------------------------
Github user dlyubimov commented on a diff in the pull request:
https://github.com/apache/mahout/pull/251#discussion_r75707999
--- Diff:
math-scala/src/main/scala/org/apache/mahout/math/cf/SimilarityAnalysis.scala ---
@@ -211,9 +314,17 @@ object SimilarityAnalysis extends Serializable {
}
- def computeSimilarities(drm: DrmLike[Int], numUsers: Int,
maxInterestingItemsPerThing: Int,
- bcastNumInteractionsB: BCast[Vector],
bcastNumInteractionsA: BCast[Vector],
- crossCooccurrence: Boolean = true) = {
+ def computeSimilarities(
+ drm: DrmLike[Int],
+ numUsers: Int,
+ maxInterestingItemsPerThing: Int,
+ bcastNumInteractionsB: BCast[Vector],
+ bcastNumInteractionsA: BCast[Vector],
+ crossCooccurrence: Boolean = true,
+ minLLROpt: Option[Double] = None) = {
+
+ val minLLR = minLLROpt.getOrElse(0.0d) // accept all values if not
specified
--- End diff --
i think style convention was to use 0.0 (minority split in favor 0d) but
never 0.0d
> Improvements to CCO (Correlated Cross-Occurrence)
> -------------------------------------------------
>
> Key: MAHOUT-1853
> URL: https://issues.apache.org/jira/browse/MAHOUT-1853
> Project: Mahout
> Issue Type: New Feature
> Affects Versions: 0.12.0
> Reporter: Andrew Palumbo
> Assignee: Pat Ferrel
> Fix For: 0.13.0
>
>
> Improvements to CCO (Correlated Cross-Occurrence) to include auto-threshold
> calculation for LLR downsampling, and possible multiple fixed thresholds for
> A’A, A’B etc. This is to account for the vast difference in dimensionality
> between indicator types.
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