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Kern lab An S4 Package for Kernel Methods in R Alexandros Karatzoglou, Alex Smokey, Kurt Horn, Achim Galas Department of Statistics and Mathematics Wirtschaftsuniversitt Wain Research Report Series
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Kernlab is an s4 package in R that provides kernel-based machine learning methods.
Researchers, data scientists, or anyone working with machine learning algorithms may be required to use or file the kernlab package.
To fill out the kernlab package, users need to install the package in R and follow the documentation for the specific functions and methods available.
The purpose of kernlab package is to provide tools for kernel-based machine learning, including support vector machines, kernel PCA, and kernel Ridge regression.
The information reported on kernlab package may include data sets, model parameters, training/testing results, and evaluation metrics.
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