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|Short description||Python package for function reconstruction with Gaussian processes|
|Full description||Gaussian processes is an algorithm, which can reconstruct a function from a sample of data without assuming a parameterisation of the function. GaPP is a general Gaussian Processes code than can be used on any dataset to reconstruct a function. The code can handle individual error bars on the data and can be used to determine the deriatives of the reconstructed function. The data sample can consist of observations of the function and of its first derivative.|
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