{ "info": { "author": "Mark Chilenski", "author_email": "mark.chilenski@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "gptools\n=======\n\nGaussian processes with arbitrary derivative constraints and predictions.\n\n`gptools` is a Python package that provides a convenient, powerful and extensible implementation of Gaussian process regression (GPR). Central to `gptool`'s implementation is support for derivatives and their variances. Furthermore, the implementation supports the incorporation of arbitrary linearly transformed quantities into the GP.\n\nDeveloped and tested using Python 2.7 and scipy 0.14.0. 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