MLC++

MLC++: a machine learning library in C++. We present MLC++, a library of C++ classes and tools for supervised machine learning. While MLC++ provides general learning algorithms that can be used by end users, the main objective is to provide researchers and experts with a wide variety of tools that can accelerate algorithm development, increase software reliability, provide comparison tools, and display information visually. More than just a collection of existing algorithms, MLC++ is can attempt to extract commonalities of algorithms and decompose them for a unified view that is simple, coherent, and extensible. In this paper we discuss the problems MLC++ aims to solve, the design of MLC++, and the current functionality


References in zbMATH (referenced in 41 articles )

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  1. Kohavi, Ron; Sommerfield, Dan; Dougherty, James: Data mining using \textitMLCa machine learning library in C++. (1997) ioport