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
|License||Verified by||Verified on||Notes|
|BSD 2Clause||Kelly Hopkins||26 July 2010|
Leaders and contributors
Resources and communication
This entry (in part or in whole) was last reviewed on 26 July 2010.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.