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include docs/source/*.rst | ||
include docs/source/examples/*.txt | ||
include docs/source/examples/*.py | ||
include gpfit/tests/artifacts/*.txt |
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<img src="http://gpfit.readthedocs.io/en/latest/_images/GPfit_logo.png" width=110 alt="GPfit" /> | ||
# GPfit | ||
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**[Documentation](http://gpfit.readthedocs.org/)** | [Examples](http://gpfit.readthedocs.org/en/latest/examples.html) | | ||
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GPfit is a Python package for fitting geometric programming models to data. | ||
This [paper](https://convex.mit.edu/publications/gpfitting.pdf) describes the | ||
approach. | ||
This [paper](https://dspace.mit.edu/bitstream/handle/1721.1/105753/11081_2016_9332_ReferencePDF.pdf?sequence=2&isAllowed=y) describes the approach. | ||
GPfit requires installation of [GPkit](http://gpkit.readthedocs.org/en/latest/). | ||
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[![Build Status](https://acdl.mit.edu/csi/buildStatus/icon?job=CE_gpfit_Push)](https://acdl.mit.edu/csi/job/CE_gpfit_Push/) | ||
[![Build Status](https://acdl.mit.edu/csi/buildStatus/icon?job=CE_gpfit_Push_unit_tests)](https://acdl.mit.edu/csi/view/convex%20engineering/job/CE_gpfit_Push_unit_tests/) | ||
[![Build Status](https://acdl.mit.edu/csi/buildStatus/icon?job=CE_gpfit_Push_pylint)](https://acdl.mit.edu/csi/view/convex%20engineering/job/CE_gpfit_Push_pylint/) |
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@import url('https://fonts.googleapis.com/css2?family=Raleway:ital,wght@0,300;0,400;0,600;1,300;1,400;1,600&display=swap'); | ||
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:root { | ||
--sidebarcolor: #102133; | ||
--sidebarfontcolor: #ffffff; | ||
--sidebarhover: #295e97; | ||
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--bodyfontcolor: #333; | ||
--webfont: 'Raleway'; | ||
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--contentwidth: 1000px; | ||
} | ||
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/* Fonts and text */ | ||
h1, h2, h3, h4, h5, h6 { | ||
font-family: var(--webfont), 'Helvetica Neue', Helvetica, Arial, sans-serif; | ||
font-weight: 400; | ||
} | ||
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h2, h3, h4, h5, h6 { | ||
padding-top: 0.25em; | ||
margin-bottom: 0.5em; | ||
} | ||
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h1 { | ||
font-size: 225%; | ||
} | ||
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body { | ||
font-family: var(--webfont), 'Helvetica Neue', Helvetica, Arial, sans-serif; | ||
color: var(--bodyfontcolor); | ||
} | ||
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p { | ||
font-size: 1em; | ||
line-height: 150%; | ||
} | ||
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/* Sidebar */ | ||
.wy-side-nav-search { | ||
background-color: var(--sidebarcolor); | ||
} | ||
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.wy-nav-side { | ||
background: var(--sidebarcolor); | ||
} | ||
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.wy-menu-vertical header, .wy-menu-vertical p.caption { | ||
color: var(--sidebarfontcolor); | ||
} | ||
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.wy-menu-vertical a { | ||
color: var(--sidebarfontcolor); | ||
} | ||
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.wy-side-nav-search > div.version { | ||
color: var(--sidebarfontcolor); | ||
} | ||
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.wy-menu-vertical a:hover { | ||
background-color: var(--sidebarhover); | ||
} | ||
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/* Main content */ | ||
.wy-nav-content { | ||
max-width: var(--contentwidth); | ||
} |
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Acknowledgements | ||
**************** | ||
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We thank the following people for helping to improve GPfit: | ||
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* Marshall Galbraith for setting up continuous integration | ||
* `Akshay Agrawal`_ for the pretty docs css | ||
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.. _`Akshay Agrawal`: https://www.akshayagrawal.com |
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