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Package for generating a single Extra-Tree. Use with the RandomCommittee meta classifier to generate an Extra-Trees forest for classification or regression. This classifier requires all predictors to be numeric. Missing values are not allowed. Instance weights are taken into account. For more information, see Pierre Geurts, Damien Ernst, Louis Wehenkel (2006). Extremely randomized trees. Machine Learning. 63(1):3-42.

An implementation of missing spring data repository hooks. JPA @EventHandlers have following limitations, which have been solved in this library: 1) It leads to circular dependency between your entity and it's event handler which makes it impossible to split your application into dedicated modules or extends an existing one with own modules. 2) The inability to inject spring beans without using of static context.

This JAR file contains tools for: checking configuration files; checking for missing serialVersionUID fields; computing class dependencies; providing HTTP service; generating message digests; generating HTTPMD URLs; examining the run-time environment of a Jini component; generating wrapper JAR files; and generating preferred lists. When used as an executable JAR file, it runs the ClassServer.

The Kuali Coeus (KC) project is building a comprehensive system to manage the complexities of research administration that fully addresses the needs from the faculty researcher through grants administration to federal funding agencies. KC is using MIT’s proven COEUS system as its baseline design, filling in missing functionality from COEUS, and updating its technical architecture for vendor independence and easier integration with other administration systems.

The Kuali Coeus (KC) project is building a comprehensive system to manage the complexities of research administration that fully addresses the needs from the faculty researcher through grants administration to federal funding agencies. KC is using MIT’s proven COEUS system as its baseline design, filling in missing functionality from COEUS, and updating its technical architecture for vendor independence and easier integration with other administration systems.

Class implementing minimal cost-complexity pruning. Note when dealing with missing values, use "fractional instances" method instead of surrogate split method. For more information, see: Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.

Class implementing a HyperPipe classifier. For each category a HyperPipe is constructed that contains all points of that category (essentially records the attribute bounds observed for each category). Test instances are classified according to the category that "most contains the instance". Does not handle numeric class, or missing values in test cases. Extremely simple algorithm, but has the advantage of being extremely fast, and works quite well when you have "smegloads" of attributes.

Babylon is a tool to gather messages, and their translations from property files. It performs a round-trip consisting of two phases: export phase and import phase. In the export phase the messages are written to a Google Sheets spreadsheet. A translator will then fill in the missing translations. In the import phase, the spreadsheet (with the missing translations filled out by a translator) is examined, and the newly translated messages are used to update the respective translation property files. Also, the state of the translation, snapshot, is written out to a disk in the form of JSON file. Babylon can be run as a Maven plugin or as a standalone console application.

The goal of this project is to connect architecture documentation and models while identifying missing or deviating elements (inconsistencies). An element can be any representable item of the model, like a component or a relation. To do so, we first create trace links and then make use of them and other information to identify inconsistencies. ArDoCo is actively developed by researchers of the Modelling for Continuous Software Engineering (MCSE) group of KASTEL - Institute of Information Security and Dependability at the KIT.