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ffm_features(const array featureNames, feature1, feature2, .. [, const string options]) – Takes categorical variables and returns a feature vector array in a libffm format ::

Platforms: WhereOS, Spark, Hive
Class: hivemall.ftvec.trans.FFMFeaturesUDF

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.

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