Metadata-Version: 2.1
Name: hmm-kit
Version: 0.2.0
Summary: Python toolkit for unsupervised learning of sequences of observations using HMM
Home-page: https://github.com/eranroz/hmm
Author: Eran Rosenthal
Author-email: eranroz@cs.huji.ac.il
License: MIT License
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`
        
        
        
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
