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        "author": "Daniel Williams",
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            "License :: OSI Approved :: ISC License (ISCL)",
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            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
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        "description": "=====\nHeron\n=====\n\n\nThe ``heron`` package is a python library for using Gaussian Process Regression (GPR) to emulate functions which are expensive to \n\nIt was originally built for producing a surrogate model for numerical\nrelativity waveforms from binary black hole coalesences, but the code\nshould be sufficiently general to allow other surrogate models to be\nbuilt.\n\nIn order to handle very large models, ``heron`` can use the `george`_\npython package to generate the underlying Gaussian Process, which can\nhandle very large models thanks to its use of a hierarchical matrix\ninverter.\n\n..\n\nFeatures\n--------\n\n* Single-valued function surrogate production from multivalued inputs\n* Handling very large datasets.\n\n.. _george: http://dan.iel.fm/george/\n.. _emcee: http://dan.iel.fm/emcee/\n\n\n=======\nHistory\n=======\n\n0.1.0 (2016-1-22)\n------------------\n\n* First release on PyPI.\n\n\n",
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