Tag Archive: gpl3

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…
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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…
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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…
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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…
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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…
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