AdaptiveLogisticRegression includes the following note about beingworthwhile for binary values only. Is this still true, or are therealternative crossfold learners for multinomial data? org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression---------- * The fitness used here is AUC. Another alternative would be to try log-likelihood, but it is much * easier to get bogus values of log-likelihood than with AUC and the results seem to accord pretty * well. It would be nice to allow the fitness function to be pluggable. This use of AUC means that * AdaptiveLogisticRegression is mostly suited for binary target variables. This will be fixed * before long by extending OnlineAuc to handle non-binary cases or by using a different fitness * value in non-binary cases.---------------
-- Lance Norskog [email protected]
