MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
This PR includes the adaptive random forest algorithm adaptation for regression tasks (AKA ARF-Reg). It uses the FIMTDD decision tree algorithm as the base learner. Please check the following reference for more details.
Reference
Heitor Murilo Gomes, Jean-Paul Barddal, Luis Eduardo Boiko Ferreira, Albert Bifet.
In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2018.
PDF: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2018-183.pdf
This PR includes the adaptive random forest algorithm adaptation for regression tasks (AKA ARF-Reg). It uses the FIMTDD decision tree algorithm as the base learner. Please check the following reference for more details.
Reference