compilationInfo

<p>Compilation information: whether the library was compiled using SSE2 or even AVX.</p>

Support vector machines (SVMs) and related kernel-based learning
algorithms are a well-known class of machine learning algorithms, for
non-parametric classification and regression.
liquidSVM is an implementation of SVMs whose key features are:
fully integrated hyper-parameter selection,
extreme speed on both small and large data sets,
full flexibility for experts, and
inclusion of a variety of different learning scenarios:
multi-class classification, ROC, and Neyman-Pearson learning, and
least-squares, quantile, and expectile regression.

Philipp Thomann

compilationInfo: Compilation information: whether the library was compiled using SSE2 or even AVX.

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