Artifacts using Weka Dev (257)

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Adds a menu item to the GUIChooser's main menu for converting command-lines into code snippets.

Wrapper classifiers for Jython and Groovy code. Even though the classifier is serializable, the trained classifier cannot be stored persistently. I.e., one cannot store a model file and re-load it at a later point in time again to make predictions.

Loader/saver that handles binary Matlab .mat files.

Classifier for incremental learning of large datasets by way of racing logit-boosted committees. For more information see: Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.

Weka implementation of the Ensemble systems for Weka

Weka implementation of the Nearest Centroid Classifier

Contains various algorithms for missing values imputation and injection.

The Labkit image segmentation tool for Fiji.

Class implementing the predictive apriori algorithm for mining association rules. It searches with an increasing support threshold for the best 'n' rules concerning a support-based corrected confidence value. For more information see: Tobias Scheffer: Finding Association Rules That Trade Support Optimally against Confidence. In: 5th European Conference on Principles of Data Mining and Knowledge Discovery, 424-435, 2001.

Contains TreeVisualize plugin for the Explorer for visualization trees (eg J48) using JGraphT.