What's new in Weka 3.7.8
Core Weka
EM and SimpleKMeans now allow for parallel processing on multi cpu/core machines
CSVLoader re-written to be more memory efficient and support incremental loading
Error plots for classifiers can optionally have point sizes set proportional to the prediction margin
Pluggable evaluation metrics for classifiers/regressors
Weighted resampling using the Walker's alias method
FlowByExpression - KnowledgeFlow component to split incoming instances (or instance stream) according to the evaluation of a logical expression
PartitionMembership filter - adds partition membership attributes as computed by a classifier that implements PartitionGenerator
Stream throughput metrics in the KnowledgeFlow when running incrementally
TextSaver KnowledgeFlow component
Search facility in the KnowledgeFlow design palette
Keyboard shortcuts in the KnowledgeFlow for toolbar buttons
Offline mode for the packge manager
Improved out of memory detection and new low memory detection for GUIs
In Packages
New isolationForest package - isolation forests for outlier detection
New multilayerPerceptrons package
New extraTrees package
Performance improvements for optics_dbScan
New lazyAssociativeClassifier package contributed by Gessé Dafé
New EvolutionarySearch package contributed by Sebastian Luna Valero