Artifacts using weka-dev version 3.7.12
Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems.
Last Release on Jul 19, 2021
The MEKA project provides an open source implementation of methods for multi-label classification and evaluation. It is based on the WEKA Machine Learning Toolkit. Several benchmark methods are also included, as well as the pruned sets and classifier chains methods, other methods from the scientific literature, and a wrapper to the MULAN framework.
Last Release on May 28, 2021
Contains various natural language processing components.
Last Release on Mar 29, 2019
A framework for large-scale feature extraction, indexing and retrieval.
Last Release on Dec 14, 2015