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Maven extension for Gradle Enterprise installations that provides Build Insights, Build Caching, Predictive Test Selection, and Test Distribution for Maven builds. Alternatively, Build Insights can be captured and viewed for free at scans.gradle.com and Build Caching can be used for free locally. See https://gradle.com for more information on Gradle Enterprise.

Maven extension for Develocity installations that provides Build Insights, Build Caching, Predictive Test Selection, and Test Distribution for Maven builds. Alternatively, Build Insights can be captured and viewed for free at scans.gradle.com and Build Caching can be used for free locally. See https://gradle.com for more information on Develocity.

Nearest-neighbor-like algorithm using non-nested generalized exemplars (which are hyperrectangles that can be viewed as if-then rules). For more information, see Brent Martin (1995). Instance-Based learning: Nearest Neighbor With Generalization. Hamilton, New Zealand. Sylvain Roy (2002). Nearest Neighbor With Generalization. Christchurch, New Zealand.

Class for boosting a classifier using the MultiBoosting method. MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees. MultiBoosting can be viewed as combining AdaBoost with wagging. It is able to harness both AdaBoost's high bias and variance reduction with wagging's superior variance reduction. Using C4.5 as the base learning algorithm, Multi-boosting is demonstrated to produce decision committees with lower error than either AdaBoost or wagging significantly more often than the reverse over a large representative cross-section of UCI data sets. It offers the further advantage over AdaBoost of suiting parallel execution. For more information, see Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).