A simple and fast discriminative sequence labelling toolkit
Wapiti is a very fast toolkit for segmenting and labeling sequences with discriminative models. It is based on maxent models, maximum entropy Markov models and linear-chain CRF and proposes various optimization and regularization methods to improve both the computational complexity and the prediction performance of standard models. Wapiti is ranked first on the sequence tagging task for several month on MLcomp web site.
Wapiti is a very fast toolkit for segmenting and labeling sequences with discriminative models. It is based on maxent models, maximum entropy Markov models and linear-chain CRF and proposes various optimization and regularization methods to improve both the computational complexity and the prediction performance of standard models. Wapiti is ranked first on the sequence tagging task for several month on MLcomp web site.
To install wapiti, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install wapiti
To see what files were installed by wapiti, run:
port contents wapiti
To later upgrade wapiti, run:
sudo port selfupdate && sudo port upgrade wapiti
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