Tag Archive: application

pyweka

pyweka, or python-weka-wrapper in full, is a Python wrapper for WEKA using the javabridge library. This allows you to make use of WEKA functionality from within Python (and therefore the whole Python universe of libraries!) rather than the other way…
Read more

MEKA

The MEKA project provides an open source implementation of methods for multi-label classification. It is based on the WEKA Machine Learning Toolkit from the University of Waikato. I’ve been involved with the project on a software engineering basis, rather than…
Read more

ADAMS

The Advanced Data mining And Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows. ADAMS has been released under GPLv3 in September 2012. The core of ADAMS is the…
Read more

KeplerWeka

WEKA¬†machine learning functionality for the Kepler workflow engine. Though I no longer have the time to maintain this project – I’m working on my own workflow engine called ADAMS – it might be interesting to some people. Here is an…
Read more

MOA

MOA is a framework for data stream mining. It includes a collection of machine learning algorithms (classification, regression, and clustering) and tools for evaluation. Related to the WEKA project, MOA is also written in Java, while scaling to more demanding…
Read more

WEKA

WEKA is a popular machine learning workbench, developed at the University of Waikato,¬†written in Java and released under GPL v3 (previous releases used GPL v2). The software allows the user to analyze data from various data sources (files, databases), using…
Read more