Mlpack: Scalable C + + machine learning Library (RPM)

Summary:Mlpack is a scalable C + + machine learning library designed to allow new users to use machine learning with simple, consistent APIs while providing professional users with high performance and maximum flexibility in C + +.

Mlpack is an intuitive, fast, and scalable C + + machine learning library designed to provide machine learning researchers with a wider range of machine learning methods and functions. It is designed to allow new users to use machine learning with simple, consistent APIs, while providing professional users with the high performance and maximum flexibility of C + +.

Mlpack also offers a wide range of learning tutorials, APIs, and extensible documentation. Among the algorithm tutorials are:

• Neighbor Search (Neighborsearch)
• Range Search (Rangesearch)
• Linear regression (linearregression)
• Euclidean minimum Spanning tree (the Euclidean Minimum Spanning trees)
• K-Means (K-means)
• Fastmks (Fast Max-kernel Search)

Mlpack Library uses armadillo to deal with the general matrix, vector, linear algebra and other content, and also used in the Boost library inside the program_options, Math_c99, unit_test_framework and other components. In addition, LIBXML2 is used. Currently, the latest version of Mlpack is 1.0.1, for more details, you can access the Mlpack documentation page.

Related information:

Http://www.csdn.net/article/2014-12-22/2823259-mlpack

• Managed Address: Https://github.com/mlpack/mlpack
• Official website: http://www.mlpack.org/
• Tutorial: http://www.mlpack.org/tutorial.html

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Http://www.csdn.net/article/2014-12-22/2823259-mlpack

Mlpack: Scalable C + + machine learning Library (RPM)