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ML-Flex: free machine learning software for classification and more

          

ML-Flex enables integration with third-party machine-learning packages, execute classification in parallel across multiple computers, and produce HTML reports with results.

ML-Flex ML-Flex - an open source software package, developed by Stephen Piccolo.

It enables users to integrate with third-party machine-learning packages written in any programming language, execute classification analyses in parallel across multiple computing nodes, and produce HTML reports of classification results.

ML-Flex software can be downloaded via mlflex.sourceforge.net.

A paper describing it is at jmlr.csail.mit.edu/papers/volume13/piccolo12a/piccolo12a.pdf

From ML-Flex introduction:

Machine-learning algorithms have been developed in a wide variety of programming languages and offer many incompatible ways of interfacing to them. ML-Flex makes it possible to interface with any algorithm that provides a command-line interface. This flexibility enables users to perform machine-learning experiments with ML-Flex as a harness while applying algorithms that may have been developed in different programming languages or that may provide different interfaces.

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KDnuggets Home :: News » 2012 » Jun » Software » ML-Flex: free machine learning software for classification and more  ( < Prev | 12:n14 | Next > )

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