7f7a6868_mloss___Project_details_Mulan__Changelog
[Version] 1.5.0 [Date] February 23, 2015, 21:19:05 [Changelog] 
Learners MLCSSP.java: Added the MLCSSP algorithm (from ICML 2013) Enhancements of multi-target regression capabilities Improved CLUS support Added pairwise classifier and pairwise transformation Measures/Evaluation Providing training data in the Evaluator is unnecessary in the case of specific measures. Examples with missing ground truth are not skipped for measures that handle missing values. Added logistics and squared error losses and measures Bug fixes IndexOutOfBounds in calculation of MiAP and GMiAP Bug fix in Rcut.java When in rank/score mode the meta-data contained additional unecessary attributes. (Newton Spolaor) API changes Upgrade to Java 7 Upgrade to Weka 3.7.10 Miscalleneous Small changes and improvements in the wrapper classes for the CLUS library ENTCS13FeatureSelection.java (new experiment) Enumeration is now used for specifying the type of meta-data. (Newton Spolaor)
mloss | Project details:Mulan
Changelog