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        "author_email": "contact@frootlab.org",
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            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.7",
            "Topic :: Database :: Database Engines/Servers",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
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        "description": "<div align=\"center\">\n  <a href=\"https://github.com/frootlab/nemoa\">\n    <img src=\"https://bit.ly/2VRCy9t\">\n  </a>\n  <br>\n</div>\n\nNemoa\n=====\n\n[![Building Status](https://travis-ci.org/frootlab/nemoa.svg?branch=master)](https://travis-ci.org/frootlab/nemoa)\n[![Documentation Status](https://readthedocs.org/projects/nemoa/badge/?version=latest)](https://nemoa.readthedocs.io/en/latest/?badge=latest)\n[![PIP Version](https://badge.fury.io/py/nemoa.svg)](https://badge.fury.io/py/nemoa)\n\n*Nemoa* is a machine learning- and data analysis framework, that implements the\n**Cloud-Assisted Meta Programming** (CAMP) paradigm.\n\nThe key goal of Nemoa is to provide a long-term data analysis framework, which\nseemingly integrates into existing enterprise data environments and thereby\nsupports collaborative data science. To achieve this goal Nemoa orchestrates\nestablished Python frameworks like [TensorFlow\u00ae](https://www.tensorflow.org/)\nand [SQLAlchemy](https://www.sqlalchemy.org/) and dynamically extends their\ncapabilities by community driven algorithms (e.g. for [probabilistic graphical\nmodeling](https://en.wikipedia.org/wiki/Graphical_model), [machine\nlearning](https://en.wikipedia.org/wiki/Machine_learning) and [structured\ndata-analysis](https://en.wikipedia.org/wiki/Structured_data_analysis_(statistics))).\n\nThereby Nemoa allows client-side implementations to use abstract **currently\nbest fitting** (CBF) algorithms. During runtime the concrete implementation of\nCBF algorithms are chosen server-sided by category and metric. An example for\nsuch a metric would be the average prediction accuracy within a fixed set of\ngold standard samples of the respective domain of application (e.g. latin\nhandwriting samples, spoken word samples, TCGA gene expression data, etc.).\n\nNemoa is [open source](https://github.com/frootlab/pandora), based on the\n[Python](https://www.python.org/) programming language and actively developed as\npart of the [Liquid ML](https://github.com/orgs/frootlab/projects) framework\nat [Frootlab](https://github.com/frootlab).\n\nCurrent Development Status\n--------------------------\n\nNemoa currently is in *Pre-Alpha* development stage, which immediately follows\nthe *Planning* stage. This means, that at least some essential requirements of\nNemoa are not yet implemented.\n\nInstallation\n------------\n\nComprehensive information and installation support is provided within the\n[online manual](http://docs.frootlab.org/nemoa). If you already have a\nPython environment configured on your computer, you can install the latest\ndistributed version by using pip:\n\n    $ pip install nemoa\n\nDocumentation\n-------------\n\nThe documentation of the latest distributed version is available as an [online\nmanual](http://docs.frootlab.org/nemoa) and for download, given in the\nformats [PDF](https://readthedocs.org/projects/nemoa/downloads/pdf/latest/),\n[EPUB](https://readthedocs.org/projects/nemoa/downloads/epub/latest/) and\n[HTML](https://readthedocs.org/projects/nemoa/downloads/htmlzip/latest/).\n\nContribute\n----------\n\nContributors are very welcome! Feel free to report bugs and feature requests to\nthe [issue tracker](https://github.com/frootlab/nemoa/issues) provided by\nGitHub. Currently, as the Frootlab Developers team still is growing, we do not\nprovide any Contribution Guide Lines to collaboration partners. However, if you\nare interested to join the team, we would be glad, to receive an informal\n[application](mailto:application@frootlab.org).\n\nLicense\n-------\n\nNemoa is [open source](https://github.com/frootlab/pandora) and available free\nfor any use under the [GPLv3 license](https://www.gnu.org/licenses/gpl.html):\n\n    \u00a9 2019 Frootlab Developers:\n      Patrick Michl <patrick.michl@frootlab.org>\n    \u00a9 2013-2019 Patrick Michl\n\n\n",
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