train_randomforest_classifier(array features, int label [, const string options, const array classWeights])- Returns a relation consists of var_importance, int oob_errors, int oob_tests>
Platforms: WhereOS, Spark, Hive
Class: hivemall.smile.classification.RandomForestClassifierUDTF
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.