Python toolkit for unsupervised learning of sequences of observations using HMM
Project description
hmm_kit
Simple Hidden Markov Models library.
Supports discrete/continuous emissions of one/multiple dimensions.
Install
python setup.py install
Usage
See examples in tests/hmm_test.py
Standalone script
To run it as a standalone script call simple_hmm.py
- Training model
simple_hmm.py train_model train_data.csv --kernel gaussian --states 3 --model_name my_model - Decode -
simple_hmm.py decode train_data.csv my_model decode.csv - Posterior -
simple_hmm.py posterior train_data.csv my_model posterior.csv
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hmm_kit-0.3.0.tar.gz
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