SiMath

SiMath is Silicos' open source library and C++ API to train and evaluate predictive and classification models from data matrices. SiMath is built on top of several open source 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.

Documentation

More detailed information can be found in the online documentation and example scripts.

Download

To download the source code of SiMath, please fill in your email address below. After submission, you will receive an email with a link to the source code archive. If you like to be informed about future releases of SiMath, please tick the checkbox below.

Contact Information

For more information about SiMath and remarks and suggestions, contact SiMath@silicos.com.