What's new in Weka 3.7.10
Former user (Deleted)
Core Weka
- HoeffdingTree. Ported from the MOA implementation to a Weka classifier
- MergeInfrequentNominalValues filter
- MergeNominalValues filter. Uses an CHAID-style merging routine
- Zoom facility in the Knowledge Flow
- Epsilon-insensitive and Huber loss functions in SGD
- More CSVLoader improvements
- Class specific IR metric based evaluation in WrapperSubsetEval
- GainRatioAttributeEval now supports instance weights
- New command line option to force batch training mode when the classifier is an incremental one
- LinearRegression is now faster and more memory efficient thanks to a contribution from Sean Daugherty
- CfsSubsetEval can now use multiple CPUs/cores to pre-compute the correlation matrix (speeds up backward searches)
- GreedyStepwise can now evaluate mutliple subsets in parallel
In Packages
{"serverDuration": 16, "requestCorrelationId": "6d2ae97c05684c39a286c42e17fe4b71"}