smarkov
Simple, lightweight and easy to read implementation of Markov chains and HMMs.
This is a toy project, don’t expect any exciting speeds or robustness.
Happy hacking!
Installing
pip3 install git+git://github.com/greenify/smarkov.git
Hacking
git clone https://github.com/greenify/smarkov cd smarkov python3 setup.py develop
Train with a corpus
from smarkov import Markov chain = Markov(["AGACAGACGAC"])
Attributes
Generate text from a chain
print("".join(chain.generate_text()))
Generate_text() generates exactly one element from the Markov chain. In other words: It goes in the Markov chain the universal start state to universal end state.
More Examples
See examples
Coming
Documentation how to use it with HMM.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for smarkov 1.0
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