MLC++: A Machine Learning Library in C++

نویسندگان

  • Ron Kohavi
  • George H. John
  • Richard Long
  • David Manley
  • Karl Pfleger
چکیده

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 an attempt to extract commonalities of algorithms and decompose them for a uniied 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.

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تاریخ انتشار 1994