markov-chain: Markov Chains for generating random sequences with a user definable behaviour.

[ algorithms, library ] [ Propose Tags ]

This library can be used to generate random sequences of anything with a behaviour that is adapted to some training data. Input a marketing text or a speech and recompose it to another arbitrary text of this sort. Input a dictionary of person names and create new names. Input a sequence of notes and get out a new melody. Input a set of Haskell modules and generate ... nice idea but the result will certainly have neither correct syntax nor types. I think, it's a good thing about Haskell, that you cannot fool it so easily. The idea is very simple: The algorithm analyses your input/training data with respect to how likely an a or e follows the letters r and e. Then on recomposition it chooses subsequent letters randomly according to the frequencies found in the training data. This library is well suited for bull-shit generators.

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Versions [RSS] 0.0.1, 0.0.2, 0.0.3, 0.0.3.1, 0.0.3.2, 0.0.3.3, 0.0.3.4
Dependencies base (>=1.0), containers, mtl (<1.2), random (>=1.0) [details]
License LicenseRef-GPL
Author Henning Thielemann <haskell@henning-thielemann.de>
Maintainer Henning Thielemann <haskell@henning-thielemann.de>
Revised Revision 1 made by HerbertValerioRiedel at 2019-01-06T19:37:22Z
Category Algorithms
Home page http://darcs.haskell.org/markov-chain/
Uploaded by HenningThielemann at 2008-02-19T04:54:14Z
Distributions LTSHaskell:0.0.3.4, NixOS:0.0.3.4, Stackage:0.0.3.4
Reverse Dependencies 6 direct, 10 indirect [details]
Downloads 10674 total (32 in the last 30 days)
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Status Docs uploaded by user
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