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 code is public domain (CC0). Builds on 32 and 64 bit Linux, Windows, OSX, etc. Builds in g++, clang, VC++, etc.

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

Changes to previous version:

Added support for CUDA GPU-parallelized neural network layers, and several other new features. Full list of changes at http://waffles.sourceforge.net/docs/changelog.html

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

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

Data Formats: Arff, Csv

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

Archive: download here

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