Description:

A collection of command-line tools for machine learning and data mining tasks. These tools are well-suited for script-automated experiments. These tools cover a wide diversity of tasks, including supervised learning, dimensionality reduction, collaborative filtering, optimization, visualization, etc.

A GUI wizard tool is also included to assist the user to construct a command that will perform the desired task.

Each command-line tool is a thin wrapper around functionality in an object-oriented C++ class library. So, if you find one of the tools to be useful, you can also link its functionality into your code. The command-line tools may serve as demos for how to use the class library. Also, a collection of additional demo apps is included to exhibit some of the classes that are not exposed by the command-line tools.

The class library is distributed under the LGPL, and the code for most of the demo apps is public domain. Builds on 32 and 64 bit Linux, Windows, OSX, etc.

Full documentation at http://waffles.sourceforge.net/docs.html

Changes to previous version:

See the change log at http://waffles.sourceforge.net/changelog.html

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Linux, Macosx, Windows, Unix, Agnostic

Data Formats: Arff

Tags: Classification, Clustering, Ensembles, Visualization, Dimensionality Reduction, Neural Networks, Decision Trees, Genetic Algorithms, Data Mining, K Nearest Neighbor Classifica, Collaborative Filtering

Archive: download here

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