abbas-gadhia/mongo-hadoop
MongoDB Connector for Hadoop
Some useful macros for pig
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MongoDB Connector for Hadoop
Find maximum "k" ensuring that items with each cluster belong to only category. Each cluster would then be used as inputs to separate classification models. Building such smaller models helps in keeping things smaller and faster when a large number of categories/items makes training/testing very difficult
Mirror of Apache Mahout
Takes a bunch of sequence files that are in the mahout classification format (groupId/unique-id) and creates another bunch of sequence files with each file having items from only 1 group id