Analytics.h++ is a C++ class library for performing and analyzing multiple linear regression and logistic regression. It also provides a set of model selection tools for improving regression models. In general, regression techniques allow you to fit a model to observed data, then make predictions based on that model. Model selection allows you to review a set of variables that describe a linear model, then select a subset that best describes the observed data.
The design of Analytics.h++ provides an easy, intuitive interface to the most commonly used methods of regression analysis. At the same time, it gives advanced users the ability to supply their own algorithms for parameter calculation and model selection.
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