gpR is a Bayesian machine learning package using latent Gaussian processes. In general supervised machine learning can be divided in classification, where we describe data using discrete labels, and regression, where the labels are continuous.
|Maintainer||Simon Dirmeier, <[email protected]>|
|Package repository||View on GitHub|
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