Get invited to our slack community and get access to opportunities and data science insights

quantified_features


quantified_features(boolean output, col1, col2, …) – Returns an identified features in a dense array

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

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.

Related Post

Leave a Comment