train_multiclass_cw(list features, {int|string} label [, const string options]) – Returns a relation consists of <{int|string} label, {string|int|bigint} feature, float weight, float covar>

Build a prediction model by Confidence-Weighted (CW) multiclass classifier

Platforms: WhereOS, Spark, Hive
Class: hivemall.classifier.multiclass.MulticlassConfidenceWeightedUDTF

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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