markov-chain: Markov Chains for generating random sequences with a user definable behaviour.
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.
Flags
Automatic Flags
Name | Description | Default |
---|---|---|
splitbase | Choose the new smaller, split-up base package. | Enabled |
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
Downloads
- markov-chain-0.0.3.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
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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 |
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Dependencies | base (>=1.0), containers (>=0.1 && <1.0), random (>=1.0 && <2.0), transformers (>=0.0.1 && <0.2) [details] |
Tested with | ghc ==6.4.1 |
License | LicenseRef-GPL |
Author | Henning Thielemann <haskell@henning-thielemann.de> |
Maintainer | Henning Thielemann <haskell@henning-thielemann.de> |
Category | Algorithms |
Home page | http://darcs.haskell.org/markov-chain/ |
Uploaded | by HenningThielemann at 2009-01-10T22:41:06Z |
Distributions | LTSHaskell:0.0.3.4, NixOS:0.0.3.4, Stackage:0.0.3.4 |
Reverse Dependencies | 6 direct, 10 indirect [details] |
Downloads | 10972 total (45 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs uploaded by user Build status unknown [no reports yet] |