Que es lo nuevo y mejoras en Weka 3.7.3 (Data Mining)
Ya hemos hablado en algunas ocasiones del Data Mining Open Source en estas páginas, hoy os contamos que Weka, la solución de minería de datos incluida en Pentaho tiene una nueva versión con nuevas funcionalidades y mejoras.
REPTree has been improved to consume less memory. Now has an option to use a Leplace-like correction for probability estimates computed at the leaves.
InputMappedClassifier is a new meta classifier that addresses differences between the structure of data used to train its base classifier and that of incoming data to be classified. It builds a mapping between features and values of nominal features.
New packages introduced in 3.7.3:
WekaExcel - a new package that provides loaders and savers for Microsoft Excel spreadsheets.
WekaODF - a new package that provides loaders and savers for spreadsheets in the open document format.
classAssociationRules - a new package that provides the ability to use association rule learning algorithms as classifiers. Includes an implementation of the CBA algorithm.
kfPMMLClassifierScoring - a new package that provides a component for the Knowledge Flow for scoring using PMML classifiers.
multiInstanceLearning - (version 1.0.1) now has an implementation of the quick diverse density learner (QuickDDIterative).
Gaussian processes , RegressionByDiscretization and ClassificationViaRegression have moved back into the core distribution from packages.
ComplementNaiveBayes has moved out of the core distribution into a package called " complementNaiveBayes ."
Id3 , IB1 and Prism have moved out of the core distribution into a package called " simpleEducationalLearningSchemes ."
Enlace para descargarse Weka y toda la información.