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conda-forge.org : gptools
Gaussian processes with arbitrary derivative constraints and predictions. `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. Developed and tested using Python 2.7 and scipy 0.14.0. May work with other versions, but it has not been tested under such configurations. If you find this software useful, please be sure to cite it: M.A. Chilenski et al. 2015 Nucl. Fusion 55 023012 http://stacks.iop.org/0029-5515/55/023012
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purl: pkg:conda/gptools
License: GPL-3.0
Latest release: over 1 year ago
First release: over 1 year ago
Stars: 41 on GitHub
Forks: 17 on GitHub
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Last synced: 25 days ago