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What's new in Weka 3.7.11
What's new in Weka 3.7.11
- Former user (Deleted)
Owned by Former user (Deleted)
Last updated: Apr 24, 2014Version comment
Core Weka
- Bagging and RandomForest are now faster if the base learner is a WeightedInstancesHandler
- Speed-ups for REPTree and other classes that use entropy calculations
- Many other code improvements and speed-ups
- Additional statistics available in the output of LinearRegression and SimpleLinearRegression. Contributed by Chris Meyer
- Reduced memory consumption in BayesNet
- Improvements to the package manager: load status of individual packages can now be toggled to prevent a package from loading; "Available" button now displays the latest version of all available packages that are compatible with the base version of Weka
- RandomizableFilteredClassifier
- Canopy clusterer
- ImageViewer KnowledgeFlow component
- PMML export support for Logistic. Infrastructure and changes contributed by David Person
- Extensive tool-tips now displayed in the Explorer's scheme selector tree lists
- Join KnowledgeFlow component for performing an inner join on two incoming streams/data sets
In Packages
- IWSSembeded package, contributed by Pablo Bermejo
- CVAttributeEval package, contributed by Justin Liang
- distributedWeka package for Hadoop
- Improvements to multiLayerPerceptrons and addition of MLPAutoencoder
- Code clean-up in many packages
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