C++ API to train and evaluate predictive and classification models from real-valued data matrices.
SiMath is Silicos' free library and C++ API to train and evaluate predictive and classification models from data matrices. SiMath is built on top of several free libraries which all have their own interface and internal format. The idea of SiMath is to have a flexible and consistent interface to all tools needed in a typical data modeling procedure. These tools include preprocessing, feature selection, model training and evaluation. Since SiMath originated from within a chemoinformatics environment, most tools included in SiMath are related to this field. Currently, SiMath includes some basic classes to manipulate real-valued data matrices and vectors. There are several clustering algorithms available and also support vector machines for classification and regression are provided.
released on 25 March 2009
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|License:BSD 2Clause||Kelly Hopkins||26 July 2010|
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This entry (in part or in whole) was last reviewed on 26 July 2010.
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