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        "author": "Renzo Poddighe",
        "author_email": "poddighe.renzo@gmail.com",
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        "description": "Pybursts\r\n========\r\n\r\nChangelog\r\n---------\r\n\r\n0.1.1\r\n~~~~~\r\n\r\n-  Update readme `view commit`_\r\n-  Tidy up module imports `view\r\n   commit <http://github.com/rpoddighe/pybursts/commit/c665e5ffee63d3087eae99bc6781773ea4d64aef>`__\r\n-  Add .gitignore `view\r\n   commit <http://github.com/rpoddighe/pybursts/commit/d8ed0480afe89193e4f56c008a7edf4922571855>`__\r\n\r\nDescription\r\n-----------\r\n\r\nThis is a Python port of the `R implementation`_ of Kleinberg\u2019s\r\nalgorithm (described in `\u2018Bursty and Hierarchical Structure in\r\nStreams\u2019`_). The algorithm models activity bursts in a time series as an\r\ninfinite hidden Markov model.\r\n\r\nInstallation\r\n------------\r\n\r\n.. code:: shell\r\n\r\n    pip install pybursts\r\n\r\nor\r\n\r\n.. code:: shell\r\n\r\n    easy_install pybursts\r\n\r\nDependencies\r\n------------\r\n\r\n-  `NumPy`_\r\n\r\nUsage\r\n-----\r\n\r\n.. code:: python\r\n\r\n\r\n    import pybursts\r\n\r\n    offsets = [4, 17, 23, 27, 33, 35, 37, 76, 77, 82, 84, 88, 90, 92]\r\n    print pybursts.kleinberg(offsets, s=2, gamma=0.1)\r\n\r\nInput\r\n-----\r\n\r\n-  *offsets*: a list of time offsets (numeric)\r\n-  *s*: the base of the exponential distribution that is used for\r\n   modeling the event frequencies\r\n-  *gamma*: coefficient for the transition costs between states\r\n\r\nOutput\r\n------\r\n\r\nAn array of intervals in which a burst of activity was detected. The\r\nfirst column denotes the level within the hierarchy; the second column\r\nthe start value of the interval; the third column the end value. The\r\nfirst row is always the top-level activity (the complete interval from\r\nstart to finish).\r\n\r\nReferences\r\n----------\r\n\r\n-  `CRAN - Package bursts`_\r\n-  `J. Kleinberg. Bursty and Hierarchical Structure in Streams. Proc.\r\n   8th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining,\r\n   2002.`_\r\n\r\n.. _view commit: http://github.com/rpoddighe/pybursts/commit/92e695f30ab8faf7375d81030f1124b73b903fa5\r\n.. _R implementation: http://cran.r-project.org/web/packages/bursts/index.html\r\n.. _\u2018Bursty and Hierarchical Structure in Streams\u2019: http://www.cs.cornell.edu/home/kleinber/bhs.pdf\r\n.. _NumPy: http://www.numpy.org/\r\n.. _CRAN - Package bursts: http://cran.r-project.org/web/packages/bursts/index.html\r\n.. _J. Kleinberg. Bursty and Hierarchical Structure in Streams. Proc. 8th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2002.: http://www.cs.cornell.edu/home/kleinber/bhs.pdf",
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        "keywords": "burst detection,data mining,text mining",
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